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ABSTRACTIndian securities market is a highly volatile and sensitive market where portfolio construction
is highly important to get good returns. Thus the main focus of this research is to construct an
optimal equity portfolio with the help of Sharpe index model. Fifteen companies have been
selected and excess to beta ratio has been calculated and ranked the companies based on thatratio. The cut-off point was calculated based on the highest value and cut-off point should be
used to calculate the proportion of money to be invested in each stocks.
INTRODUCTION
Indian securities market came into existence as a most predominant market due to the
globalisation and liberalisation which happened in the year of 1990s. Though it happened to
be a predominant market, only less than 2% of total population invests in stocks. Primarily it
has been divided into two parts, Primary market and secondary market. IPO happens in
primary market and trading of issued shares will happen in secondary market. Security
analysis and portfolio management will help to construct the optimum portfolio for the
equities market and helps to make the right decision for investment.
Generally, Security Analysis is broadly classified into three categories:
Fundamental Analysis
Fundamental Analysis refers to the evaluation of securities with the help of certain
fundamental business factors such as financial statements, current interest rates as well as
competitors products and financial market. Financial statements are nothing but proofs or
written records of various financial transactions of an investor or company. Financialstatements are used by financial experts to study and analyze the profits, liabilities, assets of
an organization or an individual.
Technical Analysis
Technical analysis refers to the analysis of securities and helps the finance professionals to
forecast the price trends through past price trends and market data.
Quantitative Analysis
Quantitative analysis refers to the analysis of securities using quantitative data. There aremany theories present in Security Analysis and Portfolio Management. Harry Markowitz was
the first who had given Modern portfolio theory and he is called as Father of Modern
Portfolio Theory. He provided analytical tools for analysis and selection of optimal portfolio.
This portfolio approach won him Nobel Prize in 1990. There was numerous complex
calculation should be done for the construction of portfolio in Markowitz model. So,
Markowitz work was extended by William Sharpe Model to reduce the complexity.
William Sharpe model will be the best model for Long-term investment and it has been
given as single index model because Individual market return in relation with the market
return is taken into consideration for the construction of optimum portfolio.
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STATEMENT OF PROBLEM
The portfolio should not be constructed based on the brand identity, current performance etc
because that would not help investors in achieving the anticipated return. The main aim of
portfolio construction is diversification and to maintain perfect negative correlation between
the securities. The optimum portfolio gives the investors a better clarity to invest the rightproportion of money in the right stock and it helps the investors to get maximum returns with
minimal risk.
OBJECTIVE OF THE STUDY
To study the relative market performance of 15 companies listed in National Stock
Exchange, India.
To construct an optimal portfolio and analyze its risk and return, for the investments
made by investors.
To calculate the proportion of money to be invested by investors out of their
investment.
SCOPE OF THE STUDY
Scope of the study is to construct the optimum portfolio to reduce its risk and maximise the
profits. Based on the historical performance, risk and return of those companies should be
analysed and top companies should be selected for construction of portfolio.
LIMITATIONS
Portfolio is constructed based only on risk and return.
Stock prices considered only for 5 years so that the real impact cannot be found.
This research is not be suitable for short-term investment.
REVIEW OF LITERATURE
Kwok Wai Yu, Xiao Qi Yang, Heung Wong (2007), explained the applications of the Sharpe
rule in portfolio measurement and management. It proposes that a portion of the portfolio
value should be invested in some other assets for portfolio improvement. With the help of
Sharpe rule they determined that the new stocks are worthy of adding to the old portfolio if
they satisfy a condition, in which the average return rate of these stocks is greater than the
return rate of the old portfolio.
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METHODOLOGY
Descriptive study has been done for the construction of portfolio of stocks where results
obtained on the selected companies. Secondary data is taken for the study and data has been
collected from various sources like National stock exchange website, Reserve Bank of India
website and other databases.Sample Size: 15
The steps in constructing the portfolio using the Sharpe Method are as follows.
Find the excess return to ratio
Arrange the calculated excess return to ration in the descending order.
Find the cut-off points
TOOLS USED
Beta Coefficient
Beta coefficient is the relative measure of non-diversifiable risk. It is an index of the degree
of movement of an assets return in response to a change in the markets return.
=Correlation*(Y)/(X)
Where, (Y) = Standard Deviation of Individual Stock,
(X) = Standard Deviation of Market
Return
The total gain or loss experienced on an investment over a given period of time, calculated by
dividing the assets cash distributions during the period, plus change in value, by its
beginning-of-period investment value is termed as return.
Return = ((Todays market price Yesterdays market price)/Yesterdays marketprice)*100
Efficient Portfolio
A portfolio that maximizes return for a given level of risk or minimizes risk for a given level
of return is termed as an efficient portfolio.
Risk-Free Rate of Return (Rf)
Risk-free rate of return is the required return on a risk free asset, typically a three month
treasury bill.
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Excess Return to Beta Ratio
Excess Return to Beta Ratio = Ri-Rf/i
Where, Ri= the expected return on stock,
Rf = the return on a riskless asset,
i= the expected change in the rate of return on stock associated with one unit changein the market return.
Cut-off Point
Ci = ( (Ri-Rf) /ei)/ (1+
)
Investment to be made in each Security
Xi=Zi/
Where, Xi= the proportion of investment of each stock.
And
Zi=i/ei (Ri-Rf/i-Ci)
Where, Ci = the cut-off point.
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ANALYSIS AND DISCUSSIONS
Table 1: Return, Standard Deviation, Beta and Residual Variance of Individual Stock
Portfolio Scrips IndividualReturn
Unsystematic Risk
ITC 45.15630781 2.48941059 0.561263549 6.197165084
HDFC -8.034497417 3.792903111 1.148901333 14.38611401
INFOSYS 2.956756271 1.923710021 0.692962931 3.700660244
ICICI 72.82353214 3.39112593 1.549568331 11.49973507
ONGC -39.13308354 3.322595538 0.825152399 11.03964111
SBI 62.29244616 2.734717596 1.143667091 7.478680331
TATA MOTORS 60.63047122 4.300381038 1.30728804 18.49327707M&M 69.60074429 3.386513204 1.074686915 11.46847168
NTPC 0.866573602 1.964663737 0.722779541 3.859903601
BHEL -85.35497731 3.593234935 1.032742164 12.9113373
CIPLA 51.13273521 1.938771035 0.498426256 3.758833127
WIPRO 49.03034737 2.803540103 0.886436543 7.85983711
DLF -36.97339488 3.937281052 1.572556532 15.50218208
RANBAXY 49.53198033 2.989680009 0.745920128 8.938186558
SAIL -10.1237203 3.231801617 1.296612145 10.44454169
Table 2: Excess return to beta ratio
Portfolio Scrips (Ri-Rf)/ Rank New Ranking
ITC 65.77357 2 CIPLA
HDFC -14.1653 12 ITC
INFOSYS -7.62414 9 M&M
ICICI 41.6784 7 RANBAXY
ONGC -57.4113 14 SBI
SBI 47.2624 5 WIPRO
TATA MOTORS 40.07569 8 ICICI
M&M 57.09639 3 TATA MOTORS
NTPC -10.2015 10 INFOSYS
BHEL -90.6276 15 NTPC
CIPLA 86.05633 1 SAIL
WIPRO 46.01609 6 HDFC
DLF -28.7515 13 DLF
RANBAXY 55.35711 4 ONGC
SAIL -14.1628 11 BHEL
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CIPLA yielded the maximum return among the companies selected and Bharat Heavy
Electricals Limited yielded lower return following that ONGC and DLF yielded lower return.
Pharma and FMCG have shown a higher return in all the companies chosen for the analysis.
It shows that Pharma is the growing sector and it is most preferred investable securities in
India. Beta is greater than 1 in Mahindra and Mahindra, State Bank of India, ICICI, TataMotors, SAIL, HDFC, DLF and BHEL, which shows that these securities have more risk and
at the same time the reward per unit of risks is also more.
Sharpe has provided a model for the selection of appropriate securities in a portfolio.
The excess return of any stock is directly related to its excess return to beta ratio.
The ratio provides a relationship between potential risk and reward. Ranking of the stocks are
done on the basis of their excess return to beta. Based on the excess return to beta ratio the
scrips are ranked from 1 to 15, with Cipla being in the first rank and BHEL being in the last.
The excess return to beta ratio was calculated using 8.24% as risk free rate of return.
Table 3: Cut-off point calculation for 15 companies
Scrip's (Ri-Rf)/ (Ri-Rf)/ Cumulative
(Ri-Rf)/
(Ri-
Rf)/New USR
CIPLA 86.0533 5.687379398 5.687379398 19.32693481
ITC 65.7735 3.341892869 9.029272267 30.68340342
M&M 57.096 5.749556017 14.77882828 50.22162771
RANBAXY 55.357 3.445805809 18.22463409 61.93121477
SBI 47.262 8.265778228 26.49041232 90.02010172
WIPRO 46.016 4.600165897 31.09057822 105.6524519
ICICI 41.678 8.699877204 39.79045542 135.2165003
TATA MOTORS 40.075 3.703284478 43.4937399 147.8010551
INFOSYS -7.624 -0.989405019 42.50433488 144.4388446
NTPC -10.201 -1.380681883 41.123653 139.7469915
SAIL -14.162 -2.279726714 38.84392628 131.9999913
HDFC -14.165 -1.318923544 37.52500274 127.5180062
DLF -28.7515 -4.586181493 32.93882125 111.9331781ONGC -57.411 -3.541066306 29.39775494 99.8998754
BHEL -90.627 -7.48621515 21.91153979 74.46011096
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Scrip's / Cumulative
/
1+ /
Cut Off Point
(Ci)
CIPLA 0.066085602 0.066085602 1.224573046 15.7825904
ITC 0.050785206 0.116870808 1.397152067 21.96139142M&M 0.100691043 0.217561851 1.739321824 28.87425835
RANBAXY 0.062246653 0.279808504 1.9508493 31.74577082
SBI 0.174891585 0.454700089 2.545168408 35.36901583
WIPRO 0.099964625 0.554664714 2.884869641 36.6229553
ICICI 0.20866171 0.763326424 3.593946876 37.62339982
TATA MOTORS 0.092387723 0.855714147 3.907900171 37.82109281
INFOSYS 0.12975957 0.985473717 4.348851017 33.21310481
NTPC 0.13533938 1.120813097 4.808763253 29.06090073
SAIL 0.160970084 1.281783181 5.355774118 24.64629545
HDFC 0.093039463 1.374822645 5.671942166 22.48224726DLF 0.159522223 1.534344868 6.214032888 18.0129684
ONGC 0.061678823 1.59602369 6.423630754 15.55193305
BHEL 0.082601603 1.678625293 6.704328713 11.10627389
Table 4: Selection of stocks among 15 companies
Scrips Cut Off
CIPLA 15.78259ITC 21.96139
M&M 28.87426
RANBAXY 31.74577
SBI 35.36902
WIPRO 36.62296
ICICI 37.6234
TATA MOTORS 37.82109
Table 5: Proportion of funds invested
Scrips z x
CIPLA 6.395374073 41.96%
ITC 2.530425592 16.60%
M&M 1.806077157 11.85%
RANBAXY 1.463401973 9.60%
SBI 1.443729097 9.47%
WIPRO 0.924188657 6.06%
ICICI 0.519553808 3.41%
TATA MOTORS 0.159321617 1.05%
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FINDINGS & RECOMMENDATIONS
The Pharma and FMCG sectors are the major contributors for the portfolio. Among
the selected 15 stocks, pharmaceutical sector is performing well. The beta values for
those stocks are lesser than 1 which indicates, minimal risk is involved in those
stocks.
The CIPLA forms the major contribution with 42% followed by ITC with 17%.
The recommended proportion investments to the companies according to constructed
portfolio are Cipla 42%, ITC 17%, M&M 12%, Ranbaxy 10%, SBI 9%, Wipro 6%,
ICICI 3%, and Tata Motors 1%.
Investors expecting high return for the minimal risk can go for Cipla (
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CONCLUSION
Though there are 15 stocks that meet the criteria for being included in the Portfolio, the
portfolio is constructed with the top 8 stocks that meet the criteria to be included in the
portfolio according to the Sharpe Index Model. Those stocks are: CIPLA, ITC, Mahindra &Mahindra, Ranbaxy, State Bank of India, Wipro, ICICI and Tata Motors. The portfolio
predominantly consists of stocks from the pharmaceutical sector.
Thus the portfolio construction table would help an investor in investment decisions. And the
investor would select any company among the fifteen companies from the above portfolio
table.