Derivative Equity (1)

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    A

    PROJECT REPORT

    ON

    AWARENESS, PREFERENCE AND POTENTIAL

    GROWTH OF DERIVATIVE WITH SPECIAL

    REFERENCE TO EQUITY ONLY.

    UNDERTAKEN AT

    India Infoline Securities Pvt. Ltd., Surat.

    Submitted By:

    Miss Krishna Dhamecha

    06MBA10

    Guided By:

    Mr. Govind Dhinaiya

    MBA Programme

    (Year 2006-08)

    SHRIMAD RAJCHANDRA INSTITUTE OF

    MANAGEMENT AND COMPUTER APPLICATION

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    DECLARATION

    I here by declare that the summer project report titledAWARENESS, PREFERENCE AND POTENTIAL GROWTH OF

    DERIVATIVE WITH SPECIAL REFERENCE TO EQUITY ONLYis based

    on original piece of work done by me for the fulfillment of degree of

    Master of Business Administration and whatever information has been

    taken from any sources had been duly acknowledge.

    I further declare that the personal data & information

    received from any respondent during survey has not been shared with

    any one and is used for academic purpose only.

    Date: Krishna K. Dhamecha

    Place: (06MBA10)

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    ACKNOWLEDGEMENT

    It is a fact that none of the human being in this world is 100%

    perfect and in order to gain some perfect ness in itself an individual surely

    needs a helping hand. The same was with me with respect to the project

    that I was undergoing during this session of 2 months. As I too was

    illiterate with this research topic that I selected for my research at the

    initial stages, I got acquainted with it slowly and steadily through efforts

    and surely from various intelligent and helpful personalities. I would like

    to extend my heartily thanks to all of them through this

    acknowledgement.

    To start with, I would like to thanks to Mr. Mayur Bhagat, branch

    head of India Infoline Pvt. Ltd., Surat, who have been source of constant

    inspiration and encouragement to me who have from time to time offered

    valuable suggestion and ideas.

    I would also like to thanks to Mr. Manish Bhatia, Mr. Kalpesh

    Chopra and Mr. Dharmesh Chaudhary for giving me necessary

    guidelines.

    I personally would like to thanks our director Dr. Bankim Patel

    and my training coordinator Mr. Govind Dhinaiya, our Faculty for

    assisting me throughout the project period, guiding me and assisting at

    various stages and thus sharing his valuable knowledge with me to

    enhance my knowledge and helping me in preparing a project.

    I would also like to thanks all the Faculty members, who directly or

    indirectly help me to successfully complete my project.

    I would also like to extend my thanks to all the respondents who

    spared their valuable time and helped me in filling up the questionnaire

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    by providing the needed information. Lastly, I would like to thanks all of

    those who have helped to furnish this project successfully.

    EXECUTIVE SUMMARY

    Days were gone when people only invest their money in post office

    or in banks. Today people have several choices for the investment. One of

    the most emerging choices is to invest in shares (equities). To get good

    return on investment, people are ready to take risks. Law always says

    that investors get higher return if they take high risk. For high risk there is

    one avenue to invest and that is derivatives.

    This Project Focused On AWARENESS, PREFERENCE AND

    POTENTIAL GROWTH OF DERIVATIVE WITH SPECIAL REFERENCE TO

    EQUITY ONLY. Objectives behind this project are to know awareness level

    among investors, to know their preference of investment in derivative and

    to know whether potential growth of derivative is there or not.

    I have used descriptive research design because it only describes

    the situation and used non-probability convenience sampling method.

    Questionnaire is used for survey purpose and before going to actual

    survey pilot testing was also done. Sample size is of 100 and respondent

    were from India Infoline Securities Pvt. Ltd. I have used SPSS software for

    analysis purpose and in that I have used T-test because data are interval

    in nature.

    Most of the customers are aware about derivative market. There are

    certain customers who are not aware about derivative market but they

    are investing only and again on the contrary investors have all knowledge

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    about derivative market, they are aware about derivative market but they

    are not investing in derivatives. Reasons for not investing in derivative

    market are high return and margin money. Investors are investing in

    derivatives only due to earn high return and hedge the risk.

    Most of the investors are preferred to invest in Index Future and

    Index Option in proportion of 20% - 50% of their portfolio. Mostly service

    men are investing in derivative market. When we talk about potential

    growth, it can be known from past data only. It says that currently a

    derivative is in booming stage but analysts says that it will decline in

    2007-2008. We can see from graph given at last.

    Hence it can be concluded that investors are aware about derivative

    market as well as they are preferred to invest in derivative market also,

    even currently growth of derivative market is booming but technical

    analysts says that derivative market will turn in to decline stage in 2007-

    2008.

    It is recommended to company that firstly convert all non users into

    users as there are many people who are aware about derivative market

    but not at all investing in it so company should give more attention

    towards those people. Another that is from survey we came to know that

    only service people are investing in derivatives so company can focus on

    students also because derivatives are risky and younger generation likes

    to take risk so there is potential in students.

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    TABLE OF CONTENTS

    Sr. No. TOPIC Page No.1.0 INTRODUCTION

    1.1Share Broking Service Sector Profile

    1.2Theory Profile

    1.3Company profile

    2.0 RESEARCH METHODOLOGY3.0 DATA ANALYSIS & INTERPRETATION4.0 FINDINGS5.0 RECOMMANDATIONS

    BIBLIOGRAPHYAPPENDIX

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    SHARE BROKING SERVICE SECTOR PROFILE:

    There are several national as well as local players in stock trading

    services which are providing various services to their customers like

    online trading, portfolio management system, stock them several national

    level players.

    KEY PLAYERS:

    5Paisa.com - Online trading, live stock quotes and market research

    Advani Share Brokers - Share broking and market research services

    Anand Rathi Securities - Portfolio management, corporate finance,

    equity & fixed income brokerage services

    Brescon Group - Advisory and broking services

    CIL Securities - Stock broking & merchant banking services

    CRN India - Trends of stock market, trading tips, chat etc

    Churiwala Securities - Stock trading, quotes and market analysis

    DSP Merrill Lynch - Investment banking and brokerage services

    Dalmia Securities - Stock broking & depository services

    EquityTrade - Stock trading, company news & market research

    Gandhi Securities - Stock broking and investment services

    Gogia Capital Services - Stock broking and market analysis

    Hasmukh Lalbhai - Stock trading services Idafa Investments - Stock broking services

    India Market Access - Offers stock broking, portfolio management

    and investment banking services

    Investsmart India - Personal finance advisory & online brokerage

    services

    http://www.searchindia.com/cgi-bin/search/index.cgi?ID=966377344http://www.searchindia.com/cgi-bin/search/index.cgi?ID=1016666638http://www.searchindia.com/cgi-bin/search/index.cgi?ID=955747502http://www.searchindia.com/cgi-bin/search/index.cgi?ID=973785596http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947985327http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956950423http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687249http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947365968http://www.searchindia.com/cgi-bin/search/index.cgi?ID=955888141http://www.searchindia.com/cgi-bin/search/index.cgi?ID=964445292http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687084http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930095925http://www.searchindia.com/cgi-bin/search/index.cgi?ID=993560917http://www.searchindia.com/cgi-bin/search/index.cgi?ID=978734958http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930088159http://www.searchindia.com/cgi-bin/search/index.cgi?ID=952057582http://www.searchindia.com/cgi-bin/search/index.cgi?ID=966377344http://www.searchindia.com/cgi-bin/search/index.cgi?ID=1016666638http://www.searchindia.com/cgi-bin/search/index.cgi?ID=955747502http://www.searchindia.com/cgi-bin/search/index.cgi?ID=973785596http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947985327http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956950423http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687249http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947365968http://www.searchindia.com/cgi-bin/search/index.cgi?ID=955888141http://www.searchindia.com/cgi-bin/search/index.cgi?ID=964445292http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687084http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930095925http://www.searchindia.com/cgi-bin/search/index.cgi?ID=993560917http://www.searchindia.com/cgi-bin/search/index.cgi?ID=978734958http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930088159http://www.searchindia.com/cgi-bin/search/index.cgi?ID=952057582
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    Kisan Ratilal Choksey Shares - Stock broking and e-trading services

    Kotak Securities - Brokerage services & retail distributor of financial

    securities

    Manubhai Mangaldas Securities - Stock broking and market analysis

    Moneypore - Investment and broking services

    Motilal Oswal - Online trading, live BSE and NSE quotes

    Navia Markets - Stock broking, IPO and mutual funds services

    Parag Parikh - Stock broking and portfolio management

    Parsoli Corporation - Investment management & stock trading

    services

    Pratibhuti Viniyog - Stock broking services

    Prudential - Investment management services

    Quantum Securities - Offers broking and portfolio management

    services.

    Sivan Securities - offers services related investment banking &

    stock broking with a focus on South India.

    Skindia Finance - Brokerage firm focusing on GDR arbitrage,

    equities & debt

    Stock Holding Corporation of India - Custody management,safekeeping & stock broking services

    StockMarkit.com - Stock quotes, news, market indicators etc

    Sunidhi Consultancy - Stock broking, portfolio management & equity

    research

    Techno Shares - Stock broking and portfolio management

    Valia Consultancy- Stock investment and trading consultancy

    http://www.searchindia.com/cgi-bin/search/index.cgi?ID=979347867http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947365119http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687737http://www.searchindia.com/cgi-bin/search/index.cgi?ID=1000747099http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089255http://www.searchindia.com/cgi-bin/search/index.cgi?ID=968327356http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269124http://www.searchindia.com/cgi-bin/search/index.cgi?ID=959008817http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269269http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089345http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089426http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089783http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269857http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956308138http://www.searchindia.com/cgi-bin/search/index.cgi?ID=963498864http://www.searchindia.com/cgi-bin/search/index.cgi?ID=963935171http://www.searchindia.com/cgi-bin/search/index.cgi?ID=995123111http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987686896http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987686896http://www.searchindia.com/cgi-bin/search/index.cgi?ID=979347867http://www.searchindia.com/cgi-bin/search/index.cgi?ID=947365119http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987687737http://www.searchindia.com/cgi-bin/search/index.cgi?ID=1000747099http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089255http://www.searchindia.com/cgi-bin/search/index.cgi?ID=968327356http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269124http://www.searchindia.com/cgi-bin/search/index.cgi?ID=959008817http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269269http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089345http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089426http://www.searchindia.com/cgi-bin/search/index.cgi?ID=930089783http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956269857http://www.searchindia.com/cgi-bin/search/index.cgi?ID=956308138http://www.searchindia.com/cgi-bin/search/index.cgi?ID=963498864http://www.searchindia.com/cgi-bin/search/index.cgi?ID=963935171http://www.searchindia.com/cgi-bin/search/index.cgi?ID=995123111http://www.searchindia.com/cgi-bin/search/index.cgi?ID=987686896
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    INTRODUCTION OF TOPIC

    History of derivative:

    The origin of derivatives can be traced back to the need of farmers

    to protect themselves against fluctuations in the price of their crop. From

    the time it was sown to the time it was ready for harvest, farmers would

    face price uncertainty. Through the use of simple derivative products, it

    was possible for the farmer to partially or fully transfer price risks by

    locking-in asset prices. These were simple contracts developed to meet

    the needs of farmers and were basically a means of reducing risk.

    A farmer who sowed his crop in June faced uncertainty over the

    price he would receive for his harvest in September. In years of scarcity,

    he would probably obtain attractive prices. However, during times ofoversupply, he would have to dispose off his harvest at a very low price.

    Clearly this meant that the farmer and his family were exposed to a high

    risk of price uncertainty.

    On the other hand, a merchant with an ongoing requirement of

    grains too would face a price risk - that of having to pay exorbitant prices

    during dearth, although favorable prices could be obtained during periods

    of oversupply. Under such circumstances, it clearly made sense for the

    farmer and the merchant to come together and enter into a contract

    whereby the price of the grain to be delivered in September could be

    decided earlier. What they would then negotiate happened to be a

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    commodity forward/ futures contracts. However when derivatives trading

    in securities were introduced in 2001, the term security in the Securities

    Contracts (Regulation) Act, 1956 (SCRA), was amended to include

    derivative contracts in securities. Consequently, regulation of derivatives

    came under the purview of Securities Exchange Board of India (SEBI). We

    thus have separate regulatory authorities for securities and commodity

    derivative markets.

    Derivatives are securities under the SCRA and hence the regulatory

    framework under the SCRA governs the trading of derivatives. The

    Securities Contracts (Regulation) Act, 1956 (SC(R) A) defines derivative

    to include

    1. A security derived from a debt instrument, share, loan whether

    secured or unsecured, risk instrument or contract for differences or any

    other form of security.

    2. A contract, which derives its value from the prices, or index of

    prices, of underlying securities.

    Derivative is a financial instrument, which derives its value from an

    underlying asset. The underlying assets can be stock, bonds, currency,

    commodities, metals even intangible, and pseudo assets like stock

    indices.

    Derivatives can be of different types like future, option, swap, caps,

    floor, collars etc. The most popular derivative instruments are futures and

    options.

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    There are newer derivatives that are becoming popular like weather

    derivatives and natural calamity derivatives. These are used as a hedge

    against any untoward harpings because of natural causes.

    What exactly is meant by, Derives its value from an assets?

    What the phrase means is that the derivative on its own doesnt

    have any value. It is considered important because of importance of

    underlying. When we say an Infosys future or Infosys option, these carry a

    value only because of the value of Infosys.

    What are financial derivatives?

    Financial derivatives are instruments that derive their value from

    financial assets. These assets can be stock, bonds, currency etc. Thederivatives can be forward rate agreements, futures, options, swaps etc.

    As stated earlier, the most traded instruments are futures and options.

    What kind of people will use derivatives?

    Derivative will find use for the following set of people.

    Speculators: People who buy or sell in the market to make profit. If

    you will the stock price of reliance is expected to go up to Rs. 400 in 1

    month, one can buy 1-month future of reliance at Rs. 350 and make

    profit.

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    Hedgers: People who buy or sell to minimize their losses. For

    example, an importer has to pay US $ to buy goods and rupee is expected

    to fall by Rs. 50/$ from Rs. 48/$, then the importer can minimize his

    losses by buying a currency future at Rs. 49/$.

    Arbitrageurs: People who buy or sell to make money on price

    differential in different market. For example futures price is simply the

    current price plus interest cost. If there is any change in interest, it

    presents an arbitrage opportunity.

    Basically, every investor assumes one or more of the above roles

    and derivatives are a very good option for him.

    Derivative markets perform a number of economic functions.

    Prices in an organized derivatives market reflect the perception of

    market participants about the future and lead the prices of

    underlying to the perceived future level. The prices of derivativesconverge with the prices of the underlying at the expiration of the

    derivative contract. Thus derivatives help in discovery of future as

    well as current prices.

    The derivatives market helps to transfer risks from those who have

    them but may not like them to those who have an appetite for them.

    Derivatives, due to their inherent nature, are linked to the underlying

    cash markets. With the introduction of derivatives, the underlying

    market witnesses higher trading volumes because of participation by

    more players who would not otherwise participate for lack of an

    arrangement to transfer risk.

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    Speculative traders shift to a more controlled environment of the

    derivatives market. In the absence of an organized derivatives

    market, speculators trade in the underlying cash markets. Margining,

    monitoring and surveillance of the activities of various participants

    become extremely difficult in these kinds of mixed markets.

    An important incidental benefit that flows from derivatives trading is

    that it acts as a catalyst for new entrepreneurial activity. Derivatives

    have a history of attracting many bright, creative, well-educated

    people with an entrepreneurial attitude. They often energize others

    to create new businesses, new products and new employment

    opportunities, the benefit of which are immense.

    Derivatives markets help increase savings and investment in the

    long run. The transfer of risk enables market participants to expand

    their volume of activity.

    How has this market developed over time?

    Derivatives have been a recent development in the Indian financial

    markets. But there have been derivatives in commodities market also.

    There is a cotton and oilseed future in Mumbai, Soya future in Bhopal,

    pepper futures in Cochin, coffee futures in Bangalore etc. But the players

    in this market are restricted to farmers and industries, which need these

    as an input to protect themselves from the vagaries of agriculture sector.

    Globally too, the first derivatives started with the commodities, way

    back in 1984. Financial derivatives are relatively late development,

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    coming into existence only in the 1970s. The first exchange where

    derivatives were traded is the Chicago Board of Trade (CBOT).

    In India, National Stock Exchange (NSE) introduced the first

    derivatives in June 2000. The first derivatives were Index Future. The

    index used was Nifty. Option trading was started in June 2001, for index

    as well as stock. In November 2001, futures on stock were allowed.

    Currently, there are 30 stocks on which derivative trading are allowed.

    The trading is done on the exchange in the F&O (Future & Option)

    segment. Index F&O is also traded in the market. The indices traded are

    the Nifty and the Sensex.

    Forward Contracts

    A forward contract is an agreement to buy or sell an asset on a

    specified date for a specified price. One of the parties to the contract

    assumes a long position and agrees to buy the underlying asset on acertain specified future date for a certain specified price. The other party

    assumes a short position and agrees to sell the asset on the same date

    for the same price. Other contract details like delivery date, the parties to

    the contract negotiate price and quantity bilaterally. The forward

    contracts are normally traded outside the exchanges.

    The salient features of forward contracts are:

    They are bilateral contracts and hence exposed to counter party risk.

    Each contract is custom designed, and hence is unique in terms of

    contract size, expiration date and the asset type and quality.

    The contract price is generally not available in public domain.

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    On the expiration date, the contract has to be settled by delivery of

    the asset.

    If the party wishes to reverse the contract, it has to compulsorily go

    to the same counter-party, which often results in high prices being

    charged.

    However forward contracts in certain markets have become very

    standardized, as in the case of foreign exchange, thereby reducing

    transaction costs and increasing transactions volume. This process of

    standardization reaches its limit in the organized futures market.

    Limitations of forward markets

    Forward markets world-wide are affected by several problems:

    Lack of centralization of trading

    Iliquidity

    Counterpart risk

    Futures Contracts

    Futures markets were designed to solve the problems that exist in

    forward markets. A futures contract is an agreement between two parties

    to buy or sell an asset at a certain time in the future at a certain price. But

    unlike forward contracts, the futures contracts are standardized and

    exchange traded. To facilitate liquidity in the futures contracts, the

    exchange specifies certain standard features of the contract. It is a

    standardized contract with standard underlying instrument, a standard

    quantity and quality of the underlying instrument that can be delivered,

    (or which can be used for reference purposes in settlement) and a

    standard timing of such settlement. A futures contract may be offset prior

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    to maturity by entering into an equal and opposite transaction. More than

    99% of futures transactions are offset this way.

    The standardized items in a futures contract are:

    Quality of the underlying

    Quantity of the underlying

    The date and the month of delivery

    The units of price quotation and minimum price change

    Location of settlement

    Distinction between futures and forwards contracts

    Forward contracts are often confused with futures contracts. The

    confusion is primarily because both serve essentially the same economic

    functions of allocating risk in the presence of future price uncertainty.

    However futures are a significant improvement over the forward contracts

    as they eliminate counter party risk and offer more liquidity

    Distinction between futures and forwardsFutures Forwards Trade on an organized

    exchange

    OTC in nature

    Standardized contract terms Customized contract termsMore liquid Less liquidRequires margin payments No margin paymentFollows daily settlement Settlement happens at end of

    period.

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    What are index futures?

    Futures contracts started as a way farmers could sell their crops in

    advance of harvest to lock in a good price or to raise funds a few months

    before the crop was ready for market. The index futures we trade are

    traded on the same exchanges where agricultural commodity futures are

    still traded. The Chicago Mercantile exchange defines index futures as

    "legally binding agreements to buy or sell the cash value of the

    underlying Index at a specific future date." That's a big help, right? Let me

    see if I can do any better with some bulleted facts which should answer

    most questions:

    Index futures are a financial instrument called a "futures contract"

    with a value based on whatever stock index they represent. Today

    there is no paper contract, just a book keeping entry, but the term

    contract is still used.

    The cash value of an index futures contract is based on the

    underlying stock index multiplied by a fixed number plus a

    premium, which represents the income that the same money would

    have earned if invested elsewhere.

    The value of the index futures contract fluctuates continuously

    throughout the day as the underlying stock index changes. The

    values of the stock indexes are recalculated every second.

    Index futures are traded on an exchange. Today this often means

    an electronic exchange with no actual trading floor.

    The steps in a futures index transaction normally include

    transmitting an order to a broker, from the broker to the exchange,matching each buy order with a sell order, transmitting confirmation

    of trade time and price back from the exchange to the broker and

    from the broker to the trader.

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    Index futures orders can be placed by phone or fax, but most orders

    today are placed from a PC connected to the Internet.

    A transaction in the more heavily traded index futures on an

    electronic exchange typically takes 2-10 seconds, including all the

    steps from origination to confirmation.

    Unlike commodity futures, there is no physical product, so never a

    phone call like, "Where do you want this 5,000 bushels of beans?"

    The only thing that changes hands are bookkeeping entries on an

    account statement.

    Index futures can be bought or sold (or sold short) by anyone who

    has an account with a futures broker.

    The trader doesn't know the other party involved in the transaction,

    only that the transaction was completed.

    What is Stock Index Future?

    Stock index futures have some special institutional features. First,

    settlement, even on the delivery date, is in cash. The seller simply

    delivers to the buyer the cash difference between the closing level of the

    underlying index and the futures price. This cash settlement feature is

    adopted because it is impractical to deliver all the stocks in the index in

    their correct proportions. Indeed, for some contracts, cash delivery is not

    just an alternative, but a necessity; for example, when the underlying

    variable is not an asset at all but just a number, such as the CPI-W

    (Consumer Price Index-Wage Earners, on which a now discontinued

    contract was created in 1985 by the Coffee, Sugar and Cocoa Exchange)

    or the Property Claims Services National Catastrophe Index.

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    Second, determination of its futures price depends on an estimate

    of the remaining cash dividends on the underlying index through

    delivery. Estimating cash dividends is not difficult over a one-year horizon

    since cash dividends for individual stocks are largely predictable from a

    firms past behavior, and because the law of large numbers tends to

    cause errors in individual predictions to wash out. Examined over shorter

    intervals, for US stocks, dividend payments are remarkably lumpy. In

    particular, the ex-dividend dates of stocks tend to be concentrated in the

    first two weeks of the mid-month of each calendar quarter (February,

    May, August, November) a fact that is worth careful consideration for

    accurate futures price evaluation.

    What is Index Option?

    The S&P 500 Index traded on the Chicago Board Options Exchange(CBOE) is an important example of index options. These are similar to

    S&P 500 Index futures, except that the buyer has the right, but not the

    obligation, to pay for and take delivery of 100 times the cash amount of

    the future level of the Index on a preset future expiration date. The

    option buyer will then choose not to take delivery, and no cash flow

    would occur. However, the option buyer would net a loss (and the option

    seller a corresponding profit) since the buyer would not recover the initial

    price he paid the seller for the option.

    Exchange-traded options often have special features, which make

    them more complex. For example, S&P 100 Index options listed on the

    CBOE can be used to buy the underlying asset by paying the strike price

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    at the market closing on any business day prior to and including the

    expiration date. S&P 500 Index options, which can only be exercised on

    the expiration date, are termed European options, while S&P 100 Index

    options (like options on individual common stocks), which can be

    exercised on any business day through and including the expiration date,

    are termed American options.

    Exercise of most options and futures results in delivery of the

    underlying asset. Exercise of S&P Index options (on the 100 or the 500),

    however, is settled in cash because it is impractical to deliver all the

    stocks in the S&P 100 or 500 Index in their exact proportions. Cash

    settlement upon exercise means that the call buyer receives in dollars

    100 times the difference between the closing level of the S&P 100 or 500

    Index and the strike price.

    COMPANY PROFILE

    INDIA INFOLINE Pvt.Ltd:

    The India Infoline Group is committed in placing the Investor First,

    by continuously striving to increase the efficiency of the operations as

    well as the systems and processes for use of corporate resources in such

    a way so as to maximize the value to the stakeholders. The Group aims at

    achieving not only the highest possible standards of legal and regulatory

    compliances, but also of efficient effective management.

    PROFILE OF INDIA INFOLINE:

    In 1995, Nirmal Jain founded his own independent financial research

    company, now known as India Infoline Ltd. India Infoline Ltd Launched on

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    11 May 1999; www.indiainfoline.com is Indias leading and most

    comprehensive business and financial information website.

    www.5paisa.com is subsidiary company of India Infoline Ltd. Launched for

    online trading in mid-2000. The 5paisa trading interface is one of the most

    advanced platforms available to retail investor in India. The site made

    available quality information and analysis - earlier restricted to a few

    people - to the common man absolutely free.

    The India Infoline group, comprising the holding company, India

    Infoline Ltd and its wholly owned subsidiaries offers the entire gamut of

    investment products ranging from Equities and derivatives trading,

    Commodities trading, Portfolio Management Services, Mutual Funds, Life

    Insurance, Fixed deposits, Government bonds and other small savings

    instruments. India Infoline also owns and manages the websites,

    www.indiainfoline.com and www.5paisa.com. India Infoline Ltd is a

    company listed on both the leading stock exchanges in India namely the

    Stock Exchange, Mumbai (BSE) and the National Stock Exchange (NSE).

    The India Infoline group has a significant presence across the country

    owing to its 125 offices across 45 cities across India. All these offices arenetworked and are connected with the corporate office in Mumbai.

    Post deregulation of the insurance sector, India Infoline Ltd became

    one of the first corporate agents to be licensed by IRDA and have tied up

    with ICICI Prudential Life Insurance Company. ICICI Prudential Life

    Insurance Company Ltd. is the leading private sector insurance player and

    India Infoline ltd. is their leading corporate agent.

    KEY MILESTONES

    Incorporated on October 18, 1995 as Probity Research & Services

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    Launched Internet portal www.indiainfoline.com in May 1999

    Commenced distribution of personal financial products like Mutual

    Funds and RBI Bonds in April 2000

    Launched online trading in shares and securities branded aswww.5paisa.com in July 2000

    Started life insurance agency business in December 2000 as a

    Corporate Agent

    Launched stock messaging service in May 2003

    Acquired commodities broking license in March 2004

    Launched portfolio management services in August 2004

    Listed on NSE and BSE on May 17, 2005

    Acquired 75% stake holding in Money tree Consultancy services in

    October 2005

    Acquired 100% equity of Marchmont Capital Advisors Pvt. Ltd in

    December 2005

    DSP Merrill Lynch Capital subscribed to convertible bonds

    aggregating Rs.80 crores in December 2005. Their current stake in

    India Infoline is a little over 14% as on 31

    st

    March 2007. Bennett Coleman & Co Ltd (BCCL) invested Rs.20 crores in India

    Infoline by way of preferential allotment in December 2005.

    Became a depository participant of CDSL in June 2006.

    Merger of India Infoline Securities Private Limited with India Infoline

    Limited in January 2007.

    Entered into an alliance with Bank of Baroda for Baroda for Baroda e-

    trading in February 2007. IRDA license for insurance Broking in April 2007.

    VISION:

    Company vision is:

    http://www.indiainfoline.com/http://www.indiainfoline.com/http://www.indiainfoline.com/http://www.indiainfoline.com/http://www.indiainfoline.com/http://www.5paisa.com/http://www.5paisa.com/http://www.5paisa.com/http://www.5paisa.com/http://www.5paisa.com/http://www.indiainfoline.com/http://www.5paisa.com/
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    To be the premier provider of investment advisory and financial

    planning services in India.

    To be a leading investment intermediary for transactions through

    both online and offline medium.

    PUNCH LINE: ITS ALL ABOUT MONEY, HONEY!

    Corporate Office:

    India Infoline Ltd

    Building No 75, Nirlon Complex,

    Off Western Express Highway,

    Goregaon (East), Mumbai - 400063

    Tel : +91-22-56489000

    Fax : +91-22-26850451

    E Mail : [email protected]

    Website : www.indiainfoline.com

    India Infoline Group Corporate Structure

    India Infoline Securities Pvt.Ltd

    Equities & Derivatives Broking

    Depository services

    Portfolio Management Services

    India Infoline .com Distribution co. Ltd.

    Mutual Funds

    RBI Bonds

    Fixed Deposits Etc.

    India Infoline Insurance Services ltd.

    mailto:[email protected]://www.indiainfoline.com/index_1024_main.shtmlmailto:[email protected]://www.indiainfoline.com/index_1024_main.shtml
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    Corporate agents for ICICI Prudential Life Insurance

    Company Ltd.

    India Infoline Commodities Pvt. Ltd

    Commodities Broking

    India Infoline Investment Services Pvt, Ltd.

    Margin Funding & Financing

    ABOUT INDIA INFOLINE LTD,

    The India Infoline Group, comprising the holding company, India

    Infoline Ltd. And its wholly all subsidiaries offer the entire gamut of

    investment products ranging from Equities and Derivatives trading,

    Commodities trading, Portfolio management services, Mutual Funds, Life

    Insurance, Fixed Deposit, GOI bonds and other small savings instruments.

    It also owns & manages websites, www.indiainfoline.com &

    www.5paisa.com

    India Infoline Ltd. is a company listed on both the leading stock

    exchanges in India Stock Exchange Mumbai (BSE) and National Stock

    Exchange (NSE) Delhi.

    http://www.indiainfoline.com/http://www.5paisa.com/http://www.indiainfoline.com/http://www.5paisa.com/
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    India Infoline is forerunner in the field of equity research. India

    Infolines research is acknowledged by none other than Forbes as Best of

    the Web a read for investors in ASIA. India Infolines research is available

    not just over the internet but also on Inter National wire services like

    Bloomberg.

    India Infoline group has significant presence across the country

    owing to its 77 offices across 36 cities across India. All these offices are

    networked and connected with the corporate office in Mumbai. The group

    has invested significantly in technology and research, the result of which

    are there for everyone to see the 5paisa trading interface is one of the

    most advanced platform available to retail investor in India.

    The group has membership on BSE and NSE for equities trading and on MCX and

    NCDEX for commodities trading. It has a SEBI license for Portfolio Management under

    which various schemes are offered which has been consistently beating the benchmark

    indices since inception.

    Various software of India Infoline Ltd:

    The Trader Terminal (Advance):

    The TT(Advance) is the amazing software, which offers you all that

    you could possibly want to trade in the Indian stock markets. With the TT

    (Advance), you can trade in both, the stock Exchange, Mumbai (BSE) and

    the National stock Exchange (NSE) on the same screen and also in the

    segment, cash as well as Derivatives. It offers real-time streaming quotes

    and Intra-day charts.

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    You can keep a watch on as many scripts as you want to with the

    Market watch feature. You have online access to your DP account, your

    ledger and there is also the facility to transfer funds online owing to our

    tie-up with the leading Internet - enabled banks in the country. Our world

    class research powers your trading with money making intra-day ideas

    which are based on research which has been acknowledged by none other

    than forbs as Best of the web and Must read for investors

    The brokerages for online trading

    Intraday trading 0.05%

    Delivery 0.25%

    F & O 0.05%

    Odin Diet:

    The Odin Diet terminal provides you with the facility to trade not

    just in the Stock Exchange, Mumbai (BSE) and the National Stock

    Exchange (NSE) and in the cash as well as the Derivatives segment but

    also in the commodities segment in the Multi Commodity Exchange

    (MCX) and the National Commodity & Derivatives Exchange (NCDEX); allon the same screen. Though it doesnt provide charting features, it

    provides a cleaner interface for faster order execution, a facer well

    appreciated by the true blue trader of today.

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    Strengths That Set Us Apart:

    We have been in information services for the last seven

    years and have assiduously built the data and skill sets necessaryfor the business.

    We have leveraged our content to create the India Infoline brand,

    which is synonymous with high quality and credible information on

    business and finance.

    Our top management team represents a skill set, which is mutually

    exclusive but collectively exhaustive.

    The strength of the organization has been to continuously

    innovate and reinvent itself.

    RESEARCH METHODOLOGY

    Research Problem:

    Awareness, preference and potential growth of derivative market

    with special reference to equity only. This statement focuses on the

    awareness of derivatives, whether people prefer to invest in derivatives or

    not and along with that it also focuses on potential growth of derivatives

    in future.

    Objectives:

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    The sole effort behind carrying out this study was to find out what is

    the growth of derivatives, awareness among people, and preference of

    investors who are investing in derivatives.

    1. To know awareness of derivatives among the investors.

    2. To know preference of investors for investment in derivative

    market.

    3. To know potential growth of derivative market.

    Research Design:

    (A) Research Type:

    I have used descriptive research design for my project.

    As we are trying to study awareness, preference and potential growth of

    derivative market, it shows how many people are aware about derivatives

    and from them how many do actual investment in them and from them

    we came to know the potential growth of derivatives market.

    (B) Research Plan:

    Primary data is collected through survey model. The survey is done

    through questionnaire. With the help of this model we can come to know

    actually what customers known and how they invest in derivatives.

    (C) Sample Design:

    Universe is entire group of items that researcher wishes to study

    and about which help to plan to generalize. For my study the universe is

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    people who came to Bank of Baroda for opening demat a/c and investors

    of India Infoline. I have used non probability convenience descriptive

    sampling design.

    (D) Sample Type:

    The type of sampling is Non Probability convenience sampling

    because the population surveyed is according to the convenience and

    looking to the time and cost factors.

    Data Analysis:

    Data Analysis was be done using SPSS software (Stastical

    Package for Social Science). This will be used because it gives us

    accurate and fast result. Also multiple features of SPSS will help in

    applying various tests to reach to accurate conclusions.

    STATISTICAL TESTS TO BE USED

    Measurement of Central Tendency:

    Mean is used when data the types of data are interval, median is

    used when data are ordinal and mode is used when data are Nominal

    type.

    One Sample T-test:

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    The One-Sample T Test is used to test whether the mean of a single

    variable differs from a specified constant. The average difference

    between each data value and the hypothesized test value, at test that

    tests that this difference is 0, and a confidence level for this test may

    either 95% or 90%. One sample T-test is used when the type of data are

    INTERVAL in nature.

    DATA ANALYSIS AND INTERPRETATION

    Q-1 Are you aware of derivative market?

    ( ) Yes ( ) no

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    PARTICULAR FREQUENCY PERCENTAGEYES 75 75.00NO 25 25.00TOTAL 100 100.0

    AWARENESS

    YES

    NO

    Inference: From the graph it can be infer that out of 100 investors 75%

    are aware about derivative and 25% are not aware about derivative.

    Q-2 Reason for non-awareness of derivative market?

    1.) Lack of Knowledge:

    Particular Frequency PercentageUnmarked 96 96.0Marked 4 4.0Total 100 100.0

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    lack of knowledge

    unmarked

    marked

    Inference: from the graph it can be inferred that most of

    respondent denied that lack of knowledge is not a reason of non-

    awareness.

    2.) High Risk:

    Particular Frequency PercentageUnmarked 82 82.0Marked 18 18.0Total 100 100.0

    high risk

    unmarked

    marked

    Inference: from the above graph it can be inferred that high risk is

    one of the reason for not investing in derivative market.

    3.) Huge Investment:

    Particular Frequency PercentageUnmarked 78 78.0Marked 22 22.0Total 100 100.0

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    huge investment

    unmarked

    marked

    Inference: From the graph it can be inferred that are also take

    huge investment as their reason for non-awareness.

    Q-3 Have you invested in derivative market?

    ( ) Yes ( ) No

    PARTICULAR FREQUENCY PERCENTAGE

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    YES 77 77.00NO 23 23.00TOTAL 100 100.0

    investment

    YES

    NO

    Inference: from the graph it can be inferred that out of 100, 77%

    are investing in derivative.

    Q-4 Reason for not investing in derivative.1. High risk

    Particular Frequency Percentage

    Agree 3 3.0

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    Strongly agree 20 20.0

    high risk

    Agree

    Strongly agree

    Inference: from the graph, you can see that 20% people are sayingthat reason for non-investment in derivative is high risk.

    T Test

    One-Sample Statistics

    Particular N MeanStd.

    Deviation

    Std.ErrorMean

    4.HIGHRISK

    100 1.12 2.066 .207

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (1). In other words, wehypothesize that reason for not investing in derivative market is

    high risk.

    i.e. Ho : x = = 1

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that reason for not investing in derivative market is

    not high risk.

    i.e. H1: x , i.e. H1: x 1

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    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 1

    Particular t df Sig. (2-tailed)

    MeanDifference

    95% ConfidenceInterval of the

    DifferenceLower Upper Lower Upper Lower Upper

    4.HIGHRISK

    .581 99 .563 .120 -.29 .53

    Inference:Here the test is performed at 95% significance level and the t-

    value comes out as .563 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that high risk is the reason for not

    investing in derivative market.

    2. Margin Money:

    Particular Frequency PercentageNeutral 5 5.0

    Agree 5 5.0

    Strongly agree 12 12.0

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    margin money

    Neutral

    Agree

    Strongly agree

    Inference: from the graph, you can see that 12% people are saying

    that reason for non-investment in derivative is margin money.

    T Test

    One-Sample Statistics

    N MeanStd.

    Deviation

    Std.ErrorMean

    4.MARGINMONEY

    100 .88 1.707 .171

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (1). In other words, we

    hypothesize that reason for not investing in derivative market is

    Margin money.

    i.e. Ho : x = = 1

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that reason for not investing in derivative market is

    not margin money..i.e. H1: x , i.e. H1: x 1

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

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    Significance level: 0.05

    Test Value = 1

    Particular t df Sig. (2-tailed)

    MeanDifference

    95% ConfidenceInterval of the

    DifferenceLower Upper Lower Upper Lower Upper

    4.MARGINMONEY

    -.703 99 .484 -.120 -.46 .22

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .484 which is grater than 0.05, it means thatthe null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that margin money is the reason for

    not investing in derivative market.

    3. Tax:

    Particular Frequency PercentageStrongly

    disagree

    9 9.0

    Disagree 3 3.0Neutral 11 11.0

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    tax

    Strongly disagree

    Disagree

    Neutral

    Inference: from the graph, you can see that 11% people are saying

    that they are neutral stage.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.Deviatio

    nStd. Error

    Mean4.TAX 100 .48 .990 .099

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (1). In other words, we

    hypothesize that reason for not investing in derivative market is tax.

    i.e. Ho : x = = 1

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that reason for not investing in derivative market is

    not margin money.

    i.e. H1: x , i.e. H1: x 1

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    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 1

    Particular t df

    Sig. (2-tailed)

    MeanDifference

    95% ConfidenceInterval of the

    DifferenceLower Upper Lower Upper Lower Upper

    4.TAX -5.254

    99 .000 -.520 -.72 -.32

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected and alternative hypothesis is

    accepted.

    4. Lot Size:

    Particular Frequency

    Percentage

    Stronglydisagree

    7 7.0

    Disagree 3 3.0

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    Neutral 5 5.0Agree 2 2.0Stronglyagree

    6 6.0

    lot size

    Strongly disagree

    Disagree

    Neutral

    Agree

    Strongly agree

    Inference: from the graph, you can see that most of the people are

    saying that reason for non-investment in derivative is not lot size.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.Deviatio

    n

    Std.ErrorMean

    4.LOTSIZE 100 .66 1.430 .143

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (1). In other words, we

    hypothesize that reason for not investing in derivative market is Lot

    size.

    i.e. Ho : x = = 1

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that reason for not investing in derivative market is

    not Lot size.

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    i.e. H1: x , i.e. H1: x 1

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 1

    Particular t df Sig. (2-tailed)

    MeanDifference

    95% ConfidenceInterval of the

    DifferenceLower Upper Lower Upper Lower Upper

    4.LOTSIZE -2.378

    99 .019 -.340 -.62 -.06

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .019 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that lot size is the reason for not

    investing in derivative market.

    Q-5 What are the objectives of investment in derivativemarket?

    1. High return

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    Particular Frequenc

    y

    Percent

    Some what not

    preferred

    2 2.0

    Neutral 11 11.0Some what preferred 23 23.0Most preferred 64 64.0Total 100 100.0

    high return

    Some w hat not

    preferred

    Neutral

    Some w hatpreferred

    Most preferred

    Inference: From the graph it can be inferred that 64%people

    consider high return as their objective of investing in derivative.

    Measurement of Central tendency

    Particular ValueMean 4.49Median 5.00Mode 5

    Inference:

    Mean value is 4.49 that mean most of investors take high return as

    their objective of investing in derivative.

    Median is 5.00 that mean investors consider high return as their

    objective of investing in derivative.

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    Mode is 5.00 that mean investors take high return as their

    objective of investing in derivative.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean5.HIGH

    RETURN100 4.49 .772 .077

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (5). In other words, we

    hypothesize that high return is one of the objective of investing in

    derivatives.

    i.e. Ho : x = = 5

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    high return is not one of the objectives of investing in derivatives.

    i.e. H1: x , i.e. H1: x 5

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 5

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    Particular t df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper5.HIGH

    RETURN

    -

    6.60799 .000 -.510 -.66 -.36

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected.

    2. Hedge the risk:

    Particulars

    Frequenc

    y

    Percent

    Some what not

    preferred

    4 4.0

    Neutral 26 26.0Some what preferred 49 49.0Most preferred 21 21.0Total 100 100.0

    HEDGE THE RISK

    some w hat not

    preferred

    neutral

    most preferred

    some what

    preferred

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    Inference:

    From the graph it can be inferred that they are investing in

    derivative because it hedge the risk.

    Measurement of Central tendency

    Particular ValueMean 4.15Median 4.00Mode 4

    Inference:

    Mean value is 4.15 that mean investors investing in derivative

    because it hedges the risk.

    Median is 4.00 that mean investors investing in derivative because

    it hedges the risk.

    Mode is 4.00 that mean investors investing in derivative because

    it hedges the risk.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviatio

    n

    Std.

    Error

    Mean

    5. HEDGE

    RISK100 4.15 .947 .095

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

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    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that hedge the risk is one of the objective of investing

    in derivative.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    hedge the risk is not one of the objectives of investing in derivative.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differenc

    e

    95%

    Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper5. HEDGE

    RISK1.584 99 .116 .150 -.04 .34

    Inference:

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    Here the test is performed at 95% significance level and the t-

    value comes out as .116 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that investors investing in derivative

    because it hedge the risk.

    3. More reliable:

    Particular

    Frequency Percentage

    Least Preferred 4 4.00Some what not preferred 6 6.00Neutral 43 43.00Some what preferred 35 35.00Most preferred 12 12.00Total 100 100.0

    MORE RELIABLE

    Least Preferred

    Some w hat not

    preferred

    Neutral

    Some w hat

    preferred

    Most preferred

    Inference:

    From the graph it can be inferred that investors are at neutral

    stage when we say that more reliable is one of the objective for

    investing in derivative.

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    Measurement of Central tendency

    Particular Value

    Mean 3.45Median 3.00Mode 3

    Inference:

    Mean value is 3.45 that mean investors are at neutral when we say

    that investing in derivative is more reliable.

    Median is 3.00 that mean investors are at neutral when we saythat investing in derivative is more reliable.

    Mode is 3.00 that mean investors are at neutral when we say that

    investing in derivative is more reliable.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.Error

    Mean5.MORE

    RELIABLE100 3.45 .925 .093

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference betweencalculated mean and hypothesized mean (3). In other words, we

    hypothesize that investors are agree that they are investing

    because derivative are more reliable.

    i.e. Ho : x = = 3

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    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    we hypothesize that investors are not agree that they are investing

    because derivative are more reliable.

    i.e. H1: x , i.e. H1: x 3

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 3

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper5.MORE

    RELIABLE4.864 99 .000 .450 .27 .63

    Inference:

    Here the test is performed at 95% significance level and

    the t-value comes out as .000 that is less than 0.05, it means that

    the null hypothesis H0 is rejected.

    T Test

    One-Sample Statistics

    Particular N Mean Std.

    Deviation

    Std.

    Error

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    Mean5.MORE

    RELIABLE100 3.45 .925 .093

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors are agree that they are investing

    because derivative are more reliable.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    we hypothesize that investors are not agree that they are investing

    because derivative are more reliable.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df Sig. (2-tailed)

    MeanDifferen

    ce

    95% ConfidenceInterval of the

    Difference

    Lower Upper Lower Upper Lower Upper5.MORERELIABLE

    -5.944 99 .000 -.550 -.73 -.37

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    Inference:

    Here the test is performed at 95% significance level and

    the t-value comes out as .000 that is less than 0.05, it means that

    the null hypothesis H0 is rejected.

    4. Safe to invest:

    Particular

    Frequency Percentage

    Least Preferred 8 8.00Some what not preferred 27 27.00Neutral 38 38.00

    Some what preferred 15 15.00Most preferred 12 12.00Total 100 100.0

    SAFE TO INVEST

    Least Preferred

    Some w hat not

    preferred

    Neutral

    Some w hatpreferred

    Most preferred

    Inference:

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    From the graph it can be inferred that investors are at neutral

    stage when we say that derivative are safe to invest.

    Measurement of Central tendency

    Particular ValueMean 2.96Median 3.00Mode 3

    Inference:

    Mean value is 2.96 that mean investors are at neutral stage whenwe say that derivatives are safe to invest.

    Median is 3.00 that mean investors are at neutral stage when we

    say that derivatives are safe to invest.

    Mode is 3.00 that mean investors are at neutral stage when we say

    that derivatives are safe to invest.

    T TestOne-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean5.SAFE INV. 100 2.96 1.109 .111

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (3). In other words, we

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    hypothesize that investors are investing because derivatives are

    safe to invest.

    i.e. Ho : x = = 3

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    they are not believe that derivative are safe to invest.

    i.e. H1: x , i.e. H1: x 3

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 3

    Particular t df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lower Upper5.SAFE

    INV.-.361 99 .719 -.040 -.26 .18

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .719 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that investors are at neutral stage

    when we say that derivative is safe to invest.

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    5. More liquid:

    Particular

    Frequency Percentage

    Least Preferred 20 20.00Some what not preferred 12 12.00Neutral 39 39.00Some what preferred 12 12.00Most preferred 17 17.00Total 100 100.0

    MORE LIQUID

    Particular

    Least Preferred

    Some what notpreferred

    Neutral

    Some what preferred

    Most preferred

    Inference:

    From the graph it can be inferred that investors are at neutral

    stage in considering more liquid as an objective of investing in

    derivatives.

    Measurement of Central tendency

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    Particular ValueMean 2.94Median 3.00Mode 3

    Inference:

    Mean value is 2.94 that mean investors are at neutral stage when

    we say that derivatives are more liquid.

    Median is 3.00 that mean investors are at neutral stage when we

    say that derivatives are more liquid.

    Mode is 3.00 that mean investors are at neutral stage when we say

    that derivatives are more liquid.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean5.MORE

    LIQUID100 2.94 1.317 .132

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (3). In other words, wehypothesize that investors are investing in derivative due to its

    liquidity.

    i.e. Ho : x = = 3

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    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that investors are investing in derivative are not

    liquid.

    i.e. H1: x , i.e. H1: x 3

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 3

    Particular t df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lower Upper5.MORE

    LIQUID-.456 99 .650 -.060 -.32 .20

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .650 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that investors are at neutral stage

    when we say that derivative is more liquid.

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    Q 6 give your preference of investment in derivative

    instrument.

    1.) Index future:

    Particular

    Frequency Percentage

    Some what not preferred 3 3.00Neutral 14 14.00Some what preferred 21 21.00Most preferred 62 62.00

    Total 100 100.0

    INDEX FUTURE

    Some w hat not

    preferred

    Neutral

    Some w hat

    preferred

    Most preferred

    Inference:

    From the graph it can be inferred that most of the investors

    are prefer to invest in Index future.

    Measurement of Central tendency

    Particular ValueMean 4.42Median 5.00Mode 5

    Inference:

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    Mean value is 4.42 that mean investors are most preferred to

    invest in Index future.

    Median is 5.00 that mean investors are most preferred to invest in

    Index future.

    Mode is 5.00 that mean investors are most preferred to invest in

    Index future.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.INDEX

    FUTURE100 4.42 .843 .084

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (5). In other words, we

    hypothesize that investors prefer to invest in Index future.

    i.e. Ho : x = = 5

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    investors will not prefer to invest in Index future.

    i.e. H1: x , i.e. H1: x 5

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    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 5

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper6.INDEX

    FUTURE

    -

    6.88099 .000 -.580 -.75 -.41

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.INDEX

    FUTURE 100 4.42 .843 .084

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

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    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors prefer to invest in Index future.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    investors will not prefer to invest in Index future.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df Sig. (2-tailed)

    MeanDifferen

    ce

    95% ConfidenceInterval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper6.INDEX

    FUTURE 4.982 99 .000 .420 .25 .59

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    1. Stock future:

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    Particular

    Frequency Percentage

    Least Preferred 5 5.00Some what not preferred 13 13.00Neutral 25 39.00Some what preferred 43 43.00Most preferred 14 14.00Total 100 100.0

    STOCK FUTURELeast Preferred

    Some w hat not

    preferred

    Neutral

    Some what

    preferred

    Most preferred

    Inference:

    From the above graph it can be inferred that Stock future is

    some what preferred by the investors.

    Measurement of Central tendency

    Particular ValueMean 3.48Median 4.00Mode 4

    Inference:

    Mean value is 3.48 that mean investors are somewhat preferred to

    invest in stock future.

    Median is 4.00 that mean investors are somewhat preferred to

    invest in stock future.

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    Mode is 4.00 that mean investors are somewhat preferred to

    invest in stock future.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.STOCK

    FUTURE100 3.48 1.049 .105

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors prefer to invest in stock future.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    investors will not prefer to invest in stock future.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

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    Particular t df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lower Upper6.STOCK

    FUTURE

    -

    4.95799 .000 -.520 -.73 -.31

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.STOCK

    FUTURE100 3.48 1.049 .105

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors prefer to invest in stock future.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words,

    investors will not prefer to invest in stock future.

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    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df

    Sig.(2-

    tailed)

    MeanDifferen

    ce

    95% ConfidenceInterval of the

    Difference

    Lower Upper Lower Upper Lower Upper6.STOCK

    FUTURE-4.957 99 .000 -.520 -.73 -.31

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    2. Index option:

    Particular

    Frequency Percentage

    Least Preferred 1 1.00Some what not preferred 3 1.00

    Neutral 22 22.00Some what preferred 48 48.00Most preferred 26 26.00Total 100 100.0

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    INDEX OPTION

    Least Preferred

    Some w hat not

    preferred

    Neutral

    Some w hat

    preferred

    Most preferred

    Inference:

    From the above graph it can be inferred that most of the

    investors some what preferredto invest in Index option.

    Measurement of Central tendency

    Particular ValueMean 4.17Median 4.00

    Inference:

    Mean value is 4.17 that mean investors are somewhat preferred to

    invest in stock future.

    Median is 4.00 that mean investors are somewhat preferred to

    invest in stock future.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.INDEX 100 4.17 .943 .094

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    OPTION

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors are somewhat preferred to invest in

    Index option.

    i.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant differencebetween calculated mean and hypothesized mean. In other words

    we hypothesize that investors are not somewhat preferred to invest

    in Index option.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper6.INDEX

    OPTION1.802 99 .075 .170 -.02 .36

    Inference:

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    Here the test is performed at 95% significance level and the t-

    value comes out as .075 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that investors are some what

    preferred to invest in Index option.

    3. Stock option:

    Particular

    Frequency Percentage

    Least Preferred 7 7.00Some what not preferred 15 15.00Neutral 25 25.00Some what preferred 28 28.00Most preferred 25 25.00Total 100 100.0

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    STOCK OPTION

    Least Preferred

    Some w hat not

    preferred

    Neutral

    Some w hat

    preferred

    Most preferred

    Inference:

    From the graph it can be inferred that investors are somewhat

    preferred to invest in stock option.

    Measurement of Central tendency

    Particular ValueMean 3.49Median 4.00Mode 4

    Inference:

    Mean value is 3.49 that mean investors are somewhat preferred to

    invest in stock option.

    Median is 4.00 that mean investors are somewhat preferred to

    invest in stock option.

    Mode is 4.00 that mean investors are somewhat preferred to

    invest in stock option.

    T Test

    One-Sample Statistics

    Particular N Mean Std. Std.

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    Deviation

    Error

    Mean6.STOCK

    OPTION100 3.49 1.219 .122

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize those investors prefer to invest in Stock option.

    I.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that investors are not prefer to invest in Stock

    option.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differen

    ce

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower Upper Lower Upper6.STOCK

    OPTION

    -

    4.18599 .000 -.510 -.75 -.27

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    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    T Test

    One-Sample Statistics

    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean6.STOCK

    OPTION100 3.49 1.219 .122

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (3). In other words, we

    hypothesize that investors prefer to invest in Stock option.

    I.e. Ho : x = = 3

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that investors are not prefer to invest in Stock

    option.

    i.e. H1: x , i.e. H1: x 3

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    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 3

    Particular T df Sig. (2-tailed)

    MeanDifference

    95% ConfidenceInterval of the

    Difference

    Lower Upper LowerUppe

    r Lower Upper6.STOCKOPTION

    4.021 99 .000 .490 .25 .73

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .000 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean.

    Q 7 Give your preference in terms of investment inderivative market.

    1. Short term:

    Particular Frequency

    Percentage

    Least preferred 6 6.0Some what notpreferred

    5 5.0

    Neutral 18 18.0Some what preferred 12 12.0Most preferred 59 59.0Total 100 100.0

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    short term

    Least preferred

    Some w hat not

    preferred

    Neutral

    Some w hat preferred

    Most preferred

    Inference:

    From the graph it can be inferred that people prefer to invest

    for short period of time.

    Measurement of Central tendency

    Particular ValueMean 4.13Median 5.00Mode 5

    Inference:

    Mean value is 4.13 that mean investors are somewhat preferred to

    invest for short time.

    Median is 5.00 that mean investors are most preferred to invest

    for short time.

    Mode is 5.00 that mean investors are most preferred to invest for

    short time.

    T Test

    One-Sample Statistics

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    Particular N Mean

    Std.

    Deviation

    Std.

    Error

    Mean7.SHORT

    TERM 100 4.13 1.228 .123

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (4). In other words, we

    hypothesize that investors are somewhat preferred to invest for

    short time.

    I.e. Ho : x = = 4

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that investors are not somewhat preferred to invest

    for short time.

    i.e. H1: x , i.e. H1: x 4

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 4

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differe

    nce

    95% Confidence

    Interval of the

    Difference

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    Lowe

    r Upper Lower Upper Lower Upper7.SHORT

    TERM1.059 99 .292 .130 -.11 .37

    Inference:

    Here the test is performed at 95% significance level and the t-

    value comes out as .292 which is grater than 0.05, it means that

    the null hypothesis H0 is accepted and it can be said that there is

    no significant difference between calculated mean and

    hypothesized mean. It means that investors are somewhat

    preferred to invest for short time.

    2. Medium term:

    Particular

    Frequency Percentage

    Least Preferred 7 7.00Some what not preferred 3 3.00Neutral 49 49.00Some what preferred 38 38.00Most preferred 3 3.00Total 100 100.0

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    MEDIUM TERM

    Least Preferred

    Some w hat not

    preferred

    Neutral

    Some w hat

    preferred

    Most preferred

    Inference:

    From the above graph it can be inferred that most of the investors

    are neutral stage to invest for short time.

    Measurement of Central tendency:

    Particular ValueMean 3.27Median 3.00Mode 3

    Inference:

    Mean value is 3.27 that mean investors are at neutral stage to

    invest for medium term.

    Median is 3.00 that mean investors are at neutral stage to invest

    for medium term.

    Mode is 3.00 that mean investors are at neutral stage to invest for

    medium term.

    T Test

    One-Sample Statistics

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    Particular N Mean

    Std.

    Deviatio

    n

    Std.

    Error

    Mean7.MEDIUM

    TERM 100 3.27 .863 .086

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (3). In other words, we

    hypothesize that investors are at neutral stage to invest for medium

    term.

    I.e. Ho : x = = 3

    Alternative Hypothesis (H1): There is significant difference

    between calculated mean and hypothesized mean. In other words

    we hypothesize that investors are not at neutral stage to invest for

    medium term.

    i.e. H1: x , i.e. H1: x 3

    Statistical Test: one sample t-test is chosen because the

    measurement of data is interval in nature.

    Significance level: 0.05

    Test Value = 3

    Particular T df

    Sig. (2-

    tailed)

    Mean

    Differ

    ence

    95% Confidence

    Interval of the

    Difference

    Lowe

    r Upper Lower

    Uppe

    r Lower Upper

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    7.MEDIUM

    TERM3.129 99 .002 .270 .10 .44

    Inference:

    Here the test is performed at 95% significance level and the

    p-value comes out as .002 that is less than 0.05, it means that the

    null hypothesis H0 is rejected. It can be said that there is significant

    difference between calculated mean and hypothesized mean. It

    means that investors are not at neutral stage to invest for medium

    term.

    3. Long Term:

    Particular Frequency Percentageleast preferred 11 11.0some what not preferred 4 4.0Neutral 29 29.0some what preferred 23 23.0most preferred 33 33.0Total 100 100.0

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    long term

    least preferred

    some w hat not

    preferred

    neutral

    some w hat

    preferred

    most preferred

    Inference:

    From the graph it can be inferred that investors prefer to

    invest for long period of time.

    Measurement of Central tendency:

    Particular ValueMean 3.63Median 4.00

    Inference:

    Mean value is 3.63 that mean investors are at neutral stage to

    invest for long term.

    Median is 4.00 that mean investors are at some what not prefer

    stage to invest for medium term.

    T Test

    One-Sample Statistics

    Particular N MeanStd.

    Deviation

    Std.ErrorMean

    7.LONG 100 3.63 1.284 .128

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    TERM

    One-Sample Test

    Null Hypothesis (HO): There is no significant difference between

    calculated mean and hypothesized mean (3). In other words, we

    hypothesize that