GroupA06 Final

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    Submitted by:

    Group A06

    Aditi Parikh 2011005Ashish Kapil 2011012

    Dheeraj Jain 2011016

    Dikshit Jain 2011018

    Mondit Moyur Mahanta 2011032

    Prakhar Saikia 2011041

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    Objective To determine the relationship between development of the insurance market andeconomic growth within the context of various economic factors prevailing in the Indian

    economy.

    Aspect of economic environment/policy measure to be examined

    Two important measures of development of insurance sector are:

    Insurance Penetration: measured as the percentage of insurance premium to GDP

    Insurance Density: calculated as the ratio of premium to population (per capita premium)

    Economic environment: GDP growth, interest rates, inflation

    Policy measures: Regulations imposed by IRDA and Insurance act Investmentrules, regulations on price tariffs and solvency margins.

    0.0

    2.0

    4.0

    6.0

    8.0

    10.0

    Asia India World

    Life

    Non-life

    Total

    MotivationThe Indian insurance market happensto be a mega opportunity with annualgrowth rate of around 15-20 per cent.The key changes in regulations andmacroeconomic variables are affectingthe growth of the sector.

    The figure represents the real growth inpremium during 2010-11

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    What needs to be added: Major players market shares

    Market concentration and foreign shares Mix of life/non-life business

    Key catalysts driving non-life business rising household income and riskawareness

    Demand for health, motor and private insurance

    Contribution of each segment for non-life

    Trend Products offered before and after deregulation

    Insurancemarket

    Lifeinsurance

    (24)

    Public (1)Private

    (23)

    Generalinsurance

    (24)

    Public (6)Private

    (18)

    Re-insurance

    (GIC)

    Market Structure

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    Focus: The study only focuses on various variables (economic, demographic, policy) within thecontext of Indian Economy

    The period of study is 1993-2010, in order to establish a comparison of pre and post liberalization

    of insurance sector Selection of variables - Based upon secondary research and group discussions , we selected the

    below variables for our study

    Data Collection: The data is predominantly collected from World Bank - World DevelopmentIndicators

    Dummy variable: There is one institutional/market structure variable which represents the affect ofopening up of Indian insurance sector for private players. This happened in year 1999, hence,Dummy variable is assigned value 0 and 1 accordingly.

    Method - Multiple regression analysis method with the use of dummy variable to determine theextent and validity of the relationship.

    Limitation This model does not take into consideration the supply side determinants ofinsurance market, e.g. distribution of insurance products, agents or Bancassurance channels.

    Variable Type Reason for selection (Hypothetical relation)

    Insurance Premium Dependent Indicator of spending on insurance products

    GDP per capita Independent, Economic This variable represents the household income(+)

    Gross Savings percapita

    Independent, Economic This variable represents the householdsavings (+)

    Inflation Independent, Economic Affects household savings decision (-)

    Interest Rate Independent, Economic Affects household savings decision (+)

    Life Expectancy atBirth Independent,Demographic Affects insurance consumption over the years(+)

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    After performing the series of regression and transforming some of the variables mentioned in the above slideswe

    observed that there are four most significant variables displayed below explained 98.9 percentage of penetratiin Insurance Premium. The regression model is significant as p value is 0. The final Regression Equation stand

    as:

    Dummy variable is introduced to verify the categorical effect due to liberalization in 2000 that may beexpected to shift the outcome. We observed that the estimated slope coefficient of dummy variable is

    not significant as its p value is 26.5 %.

    Total Insurance Premium = -11083 + 2.43 GDP per Capita + 153 Life Expectancy atBirth+ 74 Inflation (GDP Deflator) + 344 log (Real Interest Rate)

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    Initiation of Reforms: Formation of Malhotra committee in 1993 to assess thefunctionality of the sector and take charge of recommendations for future path.

    It ultimately led to formation of Insurance Regulatory and Development Authority

    (IRDA) in 2000* Some of the key functions of IRDA

    Registration of Insurers

    Regulation on insurance agents

    Solvency Margin

    Re-insurance

    Obligation of Insurers to Rural and Social sector Investment and Accounting Procedure

    Protection of policy holders' interest

    Entry of private players in insurance market with FDI up to 26%

    With growth of banking in India, Bancassurance becoming the primary distributionchannel of insurance products.

    Establishment of Insurance Ombudsman in 2005 to handle complaints of aggrievedinsured customers.

    Detarrification of all insurance products in 2007 where in premiums will be risk basedinstead of tariff based.

    Micro insurance regulation in 2005 to expand the reach of insurance at affordablecost to Bottom of pyramid.

    * This was a major reform, hence, represented by dummy variable in our regression

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    The study of development of Indian insurance market with the help of regressionanalysis and tracking policy measures led to following key observations:

    GDP per capita is the major indicator of development of insurance sector in the

    context of Indian Economy. This represents the household income, hence, a pattern ofincreased insurance consumption can be seen with rise in the income.

    The growth of insurance market has been significant post-liberalization of insurancesector i.e. year 2000. However, this cannot be explained by the regression analysis.

    The rapid growth of insurance sector can be attributed to key regulations changeswhich constantly aimed at sustaining the growth of the sector.

    The other variables such as interest rates, inflation, life expectancy rates are not muchsignificant in context of Indian economy.

    0

    500

    1000

    1500

    2000

    2500

    3000

    35004000

    Insurance Premium (Rs. Cr.)

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    Political

    Regulator/Government has

    been proactive in its policiestowards insurance sector

    Private insurers can tap the IPOmarket, Introduction of healthinsurance portability, scrappingof common pool (Indian motorthird party pool system),bancassurance draft reforms

    DTC impact

    Economical

    With increase in economic

    growth ,the level of disposableincome has increase ,resultingin higher rate of insurancegrowth

    Infrastructure bottleneckscrippling investment

    Social

    High population growthrate(1.3%) and age distribution(demographics )contributing to

    a large pool of prospectivecustomers

    Increasing level of literacyleading to insurance awareness

    The customers view insurancemore as an investment toolthan risk coverage

    Rural insurance

    Technology

    Automation of insuranceleading to personalizedfacilities to the customers

    Mobile application to compareinsurance products andpremium rates

    Use of technology forpaperless insurance

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    Defining the scope and method of study

    should be the primary step for doing anenvironmental analysis as there can bemultiple ways to do it.

    Review of literature for empirical

    relationships can be a good starting point forselecting the environmental variables.

    Identification of key policy measures and

    mapping their impact on performance of thesector is one of the most difficult andsignificant task in doing the environmentanalysis.