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Research Journal of Finance and Accounting                                               www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011

 Difference in Gender Attitude in Investment Decision Making
                                                in India
                                     Gaur Arti1, Julee2, Sukijha Sunita3
1. Deptt. Of Business Administration, Ch. Devi lal University, Sirsa.
2. JCD Institute of Business Management, JCDV, SIRSA (Haryana)-125055
3. Department of Management Studies, JCDMCOE, SIRSA (Haryana)-125055
Email: sunita.sukhija@yahoo.com

Abstract
As women play a more active role, they also want to get the same attention, advice, terms and deals that
men get from their wealth managers and advisers. Traditionally, the right to make investment decisions
normally belongs to men. However, women today are making a bigger share of the decision over whether
to invest in stocks, bonds or real estate. Specifically, in 2009, women decided how to allocate about $20
trillion in investments -- about 27% of the world's wealth, which is up by 16% from 2008. The objective of
this study is to study the differences in the Investment Decision Making (IDM) process between female and
male investors. In this study, chi-square test has been applied as statistical tool. The findings of this study
are higher level of awareness for males than females for different investment avenues and Female investors
tend to display less confidence in their investment decisions and hence have lower satisfaction levels.
Key words: IDM, investment avenues, awareness, stereotypes, self-directed


1. Introduction
As women play a more active role, they also want to get the same attention, advice, terms and deals that
men get from their wealth managers and advisers, according to a report just released by The Boston
Consulting Group. But at the same time, due to the very different womenโ€™s needs and expectations, they
also want tailored services from their advisors. Traditionally, the right to make investment decisions
normally belongs to men. However, women today are making a bigger share of the decision over whether
to invest in stocks, bonds or real estate. Specifically, in 2009, women decided how to allocate about $20
trillion in investments -- about 27% of the world's wealth, which is up by 16% from 2008. When it comes
to investing, men and women hold to traditional stereotypes, according to a recent study. Male investors are
more confident, while women are more realistic and risk averse, according to the 2006 Share Builder
Women & Investing Survey, which polled 965 women and 1,066 men over the age of 18. The study,
surveyed clients of Share Builder Securities Corp., an online brokerage company looked up for self-
directed investors, had a margin of error of plus or minus three percentage points. The findings show that
Young men, not surprisingly, are the most assured/secured investors: About 33% of men under 35 are very
confident they will meet their investment objectives versus 18% of women. However, about 50% of women
under 35 are "somewhat confident" they'll meet their objectives, versus 45% of men."Women are more
realistic about the progress they are making,โ€ quotes the Share Builderโ€™s chairman and chief executive.
"They are clearly more concerned about saving for the future. Men investors are a little more self-assured,
but not necessarily with good reason." Modern financial economics assumes that investors behave with
extreme rationality; but they do not (Barber and Odean, 2001). The recognition that individual behavioral
influences affect market outcomes initiated a new research stream in financial economics, called behavioral
finance. Behavioral finance research applies lessons from psychology to financial decision by incorporating
observable, systematic and very human departures from rationality into standard models of financial
markets. Gender differences in investment strategies are one such departure. Psychological research
demonstrates that in areas like financial decision making, women have different outlook and preferences
than men.The increased participation of women in the labor force coupled with the trend towards increased
longevity and rising net worth makes women investors a force that cannot be ignored. In developing


                                                      1
Research Journal of Finance and Accounting                                                www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011

countries like India the husband remains the dominant decision maker for reproductive matters. Up to 50%
of women agreed that their husbands decide.              In more developed countries, as women now have
easier access to information, their own finances, and a sense of control over their own lives, many are
making their own decisions about these matters. When it comes to actually making the decision, women
generally make decisions on a more emotive level, whereas men go more with the facts and data. Women
prefer a narrative, a story with the faces and the interaction and the relationships that are occurring. In India
itself, womenโ€™s employment participation grew 31 percent in 2005 from 26 percent in 2000, the first rise
seen in decades. A survey conducted by leading Indian newspaper of 2000 women (half of them working)
revealed that income in working women households in 19 percent higher than non-working women
households. The average household expenditure of working women households was also 15 percent higher
than non-working women households. Given, the much higher presence of women in both professional and
personal investing, it is very important to understand the role of gender in investment decision making
process (IDM).

2. Review of Literature
Zuckerman and Kuhlman (2000) found in their study that โ€œmen engage in more overall risky behavior
than womenโ€ (pg1024) and within financial matters Prince (1993) found that men perceive themselves as
more competent.
Powell and Ansic (1997) found that gender was the most important explanatory factor affecting confidence
in investment decisions. Females were less confident about their decisions after controlling for factors such
as age, experience, education, knowledge, and asset holdings. In such a study of financially orientated
savers, Steinerock (1991) found that women had a lower risk preference and a higher degree of anxiety in
financial decisions than men, plus a stronger desire to use financial advisorsโ€. This demonstrates through
the research that given most circumstances regarding financial matters, women seek less risk than men.
Powell and Ansic (1997) argue, could be because of different investment strategies as men and women are
motivated by different โ€œneedsโ€. They put forward the idea that these different โ€œneedsโ€ and therefore
strategies, may be that women are looking more for security whereas men are looking for returns.
          There have been many more research papers supporting the idea that women have a lower level of
confidence than men in their ability to make decisions and also in the outcome of the decisions that they
have made (Estes and Hosseini (1998), Stinerock (1991), Masters (1989) as cited in Powell and Ansic
(1997)). Shiller R. states, โ€œPeople often show, in experimental settings, excessive overconfidence about
their own judgementsโ€ (โ€œHuman Behaviour and the Efficiency of the Financial Systemโ€ pg12).
Overconfidence it is felt (Langer and Roth (1975), Miler and Ross (1975) and Taylor and Brown (1988)
cited in Daniel, Hirshleifer and Subrahmanyam (1998)) is due to the misguided belief that one knows more
than one does and that people give them more credit than is due when investment decisions turn out the
way that was expected. However, when decisions donโ€™t turn out the way that they were intended, this is put
down to external factors beyond the individualโ€™s control.
3. Research Methodology
3.1 Objective of the Research:
 โ€ข       To study the differences in the Investment Decision Making (IDM) process between female and
         male investors.

3.2 Sample design
The well premeditated objectives of the empirical investigation required a reasonably large and
representative sample of the targeted investor population. It is fairly well known from the available aspects
of the residents of Hyderabad that only certain segments of the population are of direct interest. The
โ€˜targeted relevant population segmentโ€™ comprises of those respondent investors who: possess reasonable
level of income, are educated and well employed or engaged in economic activities such as professionals,
entrepreneurs, etc. The subjectively decided sample size of 200 investors/respondents has been taken from
the โ€˜targeted relevant population segmentโ€™ based on the combined judgment and random sampling covering
different income, education, age and occupation groups.

                                                       2
Research Journal of Finance and Accounting                                                          www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011

3.3 Data Collection
As the focus of the research has been in the identification of female and male investorโ€™s broad/specific
profile and determine of perception on investment, the data has been collected from the respondents on the
income and investments of the households a whole. A total of 200 questionnaires were personally
administered.
3.4 Statistical Tools
Various tools are used for the analysis and interpretation. These tools are used as per the knowledge, skill
and need of the data. Some tools which I have used various tests like chi square, graphs, pie charts, bar
charts, etc. A chi-square test (ฯ‡2 test) is a statistical hypothesis test in which the test statistic has a chi-
square distribution when the null hypothesis is true, or any in which the probability distribution of the test
statistic (assuming the null hypothesis is true) can be made to fairly accurate.
4. Analysis and Interpretations
In the present study, we have included three broad IDM variables to investigate the female and male
investorsโ€™ IDM behavior on investment in shares, mutual funds, gold and โ€˜othersโ€™ so as to determine the
basic profile, their investment behavior and investment decision making process. Further, the impact of
these variables have also been observed on the future investment in shares, mutual funds, gold and โ€˜othersโ€™
by taking into consideration the availability of investible funds.
Result: Since the tabulated values calculated at probability level 0.05 for all the hypostasis below is less
than the calculated values, therefore, null hypothesis is rejected in all the below case. Therefore it is
determine that there is a significant difference in the Investment and investment Decision Making (IDM)
process between female and male investors.
4.1 H1: There is a significance difference in the occupation of male and female.
H0: There is no significant difference in the occupation of male and female.

             Business         service    self-                house        The chi square is: 34.577, d.o.f.: 3
                                         employed             wives        H1 is accepted. H0 is rejected. Therefore
Female       24               28         22                   26           there is a significant difference.
Male         49               29         22                   0


4.2 H1: There is a significance difference between the annual income of males and females.
H0: There is no significant difference between the annual income of males and females.

            <50000       5-        10-     30-      50-            >100k      The chi square is: 42.875, d.o.f: 5
                         10k       30k     50k      100k                      H1 is accepted. H0 is rejected.
Male        2            8         20      40       20             10         Therefore     there    is   a     significant
Female      10           40        20      16       10             4          difference.




                                                          3
Research Journal of Finance and Accounting                                                                www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011

4.3 H1: There is a significance difference between the investment policy of males and females.
H0: There is no significant difference between the investment policy of males and females.

            Tax             secure           increase             health     The chi square is: 10.869, d.o.f: 3
            savings         future           consistent                      H1 is accepted. H0 is rejected.
                                             income                          Therefore there is a significant difference.
Male        15              20               45                   20
Female      23              32               24                   21


4.4 H1: There is a significance difference in taking advice or assistance in the investments decision making
between the males and females.
H0: There is no significant difference in taking advice or assistance in the investment decision making
between the males and females.



           Spouse          father       mother          wife      and   &mother       financial        The chi square is:
                                                        husband                       adviser          34.594, d.o.f :5 H1 is
                                                        father                                         accepted.     H0     is
Male       8               36           5               24              15            12               rejected.     Therefore
Female     14              10           26              19              10            21               there is a significant
                                                                                                       difference.




4.5 H1: There is a significance difference between the investment options of males and females.
H0: There is no significant difference between the investment options of males and females.



         Banks,       Post          office    mutual         stocks     gold,    insurance        pension      The    chi   square   is:
                      and           other     funds,         ,                                    funds        31.603, d.o.f: 5
                      govt. savings,                                                                           H1 is accepted. H0 is
         Male         23                      11             20         22       14               10           rejected.
         Female       45                      20             6          5        20               4            Therefore there is a
                                                                                                               significant difference.




                                                                  4
Research Journal of Finance and Accounting                                              www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011


4.6 H1: There is a significance difference between the investment period of males and females.
H0: There is no significant difference between the investment period of males and females.

                              Short term                     long term                        The chi square is: 33.704,
Male                          73                             27                               d.o.f: 1
Female                        32                             68                               H1     is   accepted.   H0 is
                                                                                              rejected. Therefore there is
                                                                                              a significant difference.




4.7. H1: There is a significance difference in renewing the investments of males and females.
H0: There is no significant difference in renewing the investments of males and females.


            0-1year      1-5year     5-10year     10-          The chi square is: 47.643, d.o.f: 3
                                                  20year       H1 is accepted. H0 is rejected. Therefore
Male        38           46          12           4            there is a significant difference.
Female      10           32          40           18




s5. Conclusion and Suggestion
The present study is unique in that it investigates the gender differences in the IDM process in context of
Indian investors. Our empirical tests provide strong support for the behavioral finance model. The
following results make the IDM process of female and male investors very informative:
โ€ข         A higher level of awareness for males than females for different investment avenues.
โ€ข         Female investors tend to display less confidence in their investment decisions and hence have
lower satisfaction levels.
โ€ข         Female investors are more cautious vis-ร -vis males with regards to prospective investment in
equity shares especially if availability of funds is low.
โ€ข         The underlying dimension in selection of investments reveals emphasis on familiarity, opinion and
demographic measures for all investment avenues both for female and male investors.
This report/research emphasized the increasing importance of female investors in the investment industry.
Whereas the investment industry has recently recognised the wisdom of targeting female investors as a
separate market segment, this acknowledgement has been based largely on the premise that female
investors look for a different type of relationship with financial professionals than do male investors. The
results also shed light on the investorsโ€™ IDM process, which is an important area of academic research.
Future research could replicate this study with larger sample and wider coverage. Since our study is
restricted to the psycho-economic-demographic variables, future research can also explore the social as
well as cultural dimensions so as to have a better understanding into the investorsโ€™ decision making
process.




                                                       5
Research Journal of Finance and Accounting                                        www.iiste.org
ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online)
Vol 2, No 12, 2011


References
   โ€ข   Kahneman, D. and Tversky, A. (March 1979) Prospect Theory: An Analysis of decision Under
       Risk, Econometrica, Volume 47, No.2, pp.263-291.
   โ€ข   Kyle, A. S. and Wang, F. A. (December 1997) Speculation Duopoly with Agreement to Disagree:
       Can Overconfidence Survive the Market Test? The Journal of Finance, Vol. LII No.5 pp.2073-
       2090.
   โ€ข   Lewis, L. (8th September 2002) If you want to make money on the stock market, deal with a
       woman, [Online]. The Independent Newspaper
   โ€ข   Odean, T. (December 1998) Volume, Volatility, Price, and Profit When All Traders Are above
       Average, The Journal of Finance, Volume LIII No.6, pp.1887-1934.
   โ€ข   Powell, M. and Ansic, D. (1997) Gender differences in risk behaviour in financial decision
       making: An experimental analysis, Journal of Economic Psychology, 18, pp.605-628.
   โ€ข   Sharpe, W. (1964) Capital asset prices: a theory of market equilibrium under conditions of risk,
       Journal of Finance, Vol. 19, pp.768-783.
   โ€ข   Shiller, R. J. (โ€œno dateโ€) Human Behaviour and the Efficiency of the Financial System, pp.1-34.
       www.econ.yale.edu.
   โ€ข   Zuckerman, M. and Kuhlman, D. M. (December 2000) Personality and Risk Taking: Common
       Biosocial Factors, Journal of Personality, pp.999-1029.




                                                 6

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Difference in gender attitude in investment decision making in india

  • 1. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 Difference in Gender Attitude in Investment Decision Making in India Gaur Arti1, Julee2, Sukijha Sunita3 1. Deptt. Of Business Administration, Ch. Devi lal University, Sirsa. 2. JCD Institute of Business Management, JCDV, SIRSA (Haryana)-125055 3. Department of Management Studies, JCDMCOE, SIRSA (Haryana)-125055 Email: sunita.sukhija@yahoo.com Abstract As women play a more active role, they also want to get the same attention, advice, terms and deals that men get from their wealth managers and advisers. Traditionally, the right to make investment decisions normally belongs to men. However, women today are making a bigger share of the decision over whether to invest in stocks, bonds or real estate. Specifically, in 2009, women decided how to allocate about $20 trillion in investments -- about 27% of the world's wealth, which is up by 16% from 2008. The objective of this study is to study the differences in the Investment Decision Making (IDM) process between female and male investors. In this study, chi-square test has been applied as statistical tool. The findings of this study are higher level of awareness for males than females for different investment avenues and Female investors tend to display less confidence in their investment decisions and hence have lower satisfaction levels. Key words: IDM, investment avenues, awareness, stereotypes, self-directed 1. Introduction As women play a more active role, they also want to get the same attention, advice, terms and deals that men get from their wealth managers and advisers, according to a report just released by The Boston Consulting Group. But at the same time, due to the very different womenโ€™s needs and expectations, they also want tailored services from their advisors. Traditionally, the right to make investment decisions normally belongs to men. However, women today are making a bigger share of the decision over whether to invest in stocks, bonds or real estate. Specifically, in 2009, women decided how to allocate about $20 trillion in investments -- about 27% of the world's wealth, which is up by 16% from 2008. When it comes to investing, men and women hold to traditional stereotypes, according to a recent study. Male investors are more confident, while women are more realistic and risk averse, according to the 2006 Share Builder Women & Investing Survey, which polled 965 women and 1,066 men over the age of 18. The study, surveyed clients of Share Builder Securities Corp., an online brokerage company looked up for self- directed investors, had a margin of error of plus or minus three percentage points. The findings show that Young men, not surprisingly, are the most assured/secured investors: About 33% of men under 35 are very confident they will meet their investment objectives versus 18% of women. However, about 50% of women under 35 are "somewhat confident" they'll meet their objectives, versus 45% of men."Women are more realistic about the progress they are making,โ€ quotes the Share Builderโ€™s chairman and chief executive. "They are clearly more concerned about saving for the future. Men investors are a little more self-assured, but not necessarily with good reason." Modern financial economics assumes that investors behave with extreme rationality; but they do not (Barber and Odean, 2001). The recognition that individual behavioral influences affect market outcomes initiated a new research stream in financial economics, called behavioral finance. Behavioral finance research applies lessons from psychology to financial decision by incorporating observable, systematic and very human departures from rationality into standard models of financial markets. Gender differences in investment strategies are one such departure. Psychological research demonstrates that in areas like financial decision making, women have different outlook and preferences than men.The increased participation of women in the labor force coupled with the trend towards increased longevity and rising net worth makes women investors a force that cannot be ignored. In developing 1
  • 2. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 countries like India the husband remains the dominant decision maker for reproductive matters. Up to 50% of women agreed that their husbands decide. In more developed countries, as women now have easier access to information, their own finances, and a sense of control over their own lives, many are making their own decisions about these matters. When it comes to actually making the decision, women generally make decisions on a more emotive level, whereas men go more with the facts and data. Women prefer a narrative, a story with the faces and the interaction and the relationships that are occurring. In India itself, womenโ€™s employment participation grew 31 percent in 2005 from 26 percent in 2000, the first rise seen in decades. A survey conducted by leading Indian newspaper of 2000 women (half of them working) revealed that income in working women households in 19 percent higher than non-working women households. The average household expenditure of working women households was also 15 percent higher than non-working women households. Given, the much higher presence of women in both professional and personal investing, it is very important to understand the role of gender in investment decision making process (IDM). 2. Review of Literature Zuckerman and Kuhlman (2000) found in their study that โ€œmen engage in more overall risky behavior than womenโ€ (pg1024) and within financial matters Prince (1993) found that men perceive themselves as more competent. Powell and Ansic (1997) found that gender was the most important explanatory factor affecting confidence in investment decisions. Females were less confident about their decisions after controlling for factors such as age, experience, education, knowledge, and asset holdings. In such a study of financially orientated savers, Steinerock (1991) found that women had a lower risk preference and a higher degree of anxiety in financial decisions than men, plus a stronger desire to use financial advisorsโ€. This demonstrates through the research that given most circumstances regarding financial matters, women seek less risk than men. Powell and Ansic (1997) argue, could be because of different investment strategies as men and women are motivated by different โ€œneedsโ€. They put forward the idea that these different โ€œneedsโ€ and therefore strategies, may be that women are looking more for security whereas men are looking for returns. There have been many more research papers supporting the idea that women have a lower level of confidence than men in their ability to make decisions and also in the outcome of the decisions that they have made (Estes and Hosseini (1998), Stinerock (1991), Masters (1989) as cited in Powell and Ansic (1997)). Shiller R. states, โ€œPeople often show, in experimental settings, excessive overconfidence about their own judgementsโ€ (โ€œHuman Behaviour and the Efficiency of the Financial Systemโ€ pg12). Overconfidence it is felt (Langer and Roth (1975), Miler and Ross (1975) and Taylor and Brown (1988) cited in Daniel, Hirshleifer and Subrahmanyam (1998)) is due to the misguided belief that one knows more than one does and that people give them more credit than is due when investment decisions turn out the way that was expected. However, when decisions donโ€™t turn out the way that they were intended, this is put down to external factors beyond the individualโ€™s control. 3. Research Methodology 3.1 Objective of the Research: โ€ข To study the differences in the Investment Decision Making (IDM) process between female and male investors. 3.2 Sample design The well premeditated objectives of the empirical investigation required a reasonably large and representative sample of the targeted investor population. It is fairly well known from the available aspects of the residents of Hyderabad that only certain segments of the population are of direct interest. The โ€˜targeted relevant population segmentโ€™ comprises of those respondent investors who: possess reasonable level of income, are educated and well employed or engaged in economic activities such as professionals, entrepreneurs, etc. The subjectively decided sample size of 200 investors/respondents has been taken from the โ€˜targeted relevant population segmentโ€™ based on the combined judgment and random sampling covering different income, education, age and occupation groups. 2
  • 3. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 3.3 Data Collection As the focus of the research has been in the identification of female and male investorโ€™s broad/specific profile and determine of perception on investment, the data has been collected from the respondents on the income and investments of the households a whole. A total of 200 questionnaires were personally administered. 3.4 Statistical Tools Various tools are used for the analysis and interpretation. These tools are used as per the knowledge, skill and need of the data. Some tools which I have used various tests like chi square, graphs, pie charts, bar charts, etc. A chi-square test (ฯ‡2 test) is a statistical hypothesis test in which the test statistic has a chi- square distribution when the null hypothesis is true, or any in which the probability distribution of the test statistic (assuming the null hypothesis is true) can be made to fairly accurate. 4. Analysis and Interpretations In the present study, we have included three broad IDM variables to investigate the female and male investorsโ€™ IDM behavior on investment in shares, mutual funds, gold and โ€˜othersโ€™ so as to determine the basic profile, their investment behavior and investment decision making process. Further, the impact of these variables have also been observed on the future investment in shares, mutual funds, gold and โ€˜othersโ€™ by taking into consideration the availability of investible funds. Result: Since the tabulated values calculated at probability level 0.05 for all the hypostasis below is less than the calculated values, therefore, null hypothesis is rejected in all the below case. Therefore it is determine that there is a significant difference in the Investment and investment Decision Making (IDM) process between female and male investors. 4.1 H1: There is a significance difference in the occupation of male and female. H0: There is no significant difference in the occupation of male and female. Business service self- house The chi square is: 34.577, d.o.f.: 3 employed wives H1 is accepted. H0 is rejected. Therefore Female 24 28 22 26 there is a significant difference. Male 49 29 22 0 4.2 H1: There is a significance difference between the annual income of males and females. H0: There is no significant difference between the annual income of males and females. <50000 5- 10- 30- 50- >100k The chi square is: 42.875, d.o.f: 5 10k 30k 50k 100k H1 is accepted. H0 is rejected. Male 2 8 20 40 20 10 Therefore there is a significant Female 10 40 20 16 10 4 difference. 3
  • 4. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 4.3 H1: There is a significance difference between the investment policy of males and females. H0: There is no significant difference between the investment policy of males and females. Tax secure increase health The chi square is: 10.869, d.o.f: 3 savings future consistent H1 is accepted. H0 is rejected. income Therefore there is a significant difference. Male 15 20 45 20 Female 23 32 24 21 4.4 H1: There is a significance difference in taking advice or assistance in the investments decision making between the males and females. H0: There is no significant difference in taking advice or assistance in the investment decision making between the males and females. Spouse father mother wife and &mother financial The chi square is: husband adviser 34.594, d.o.f :5 H1 is father accepted. H0 is Male 8 36 5 24 15 12 rejected. Therefore Female 14 10 26 19 10 21 there is a significant difference. 4.5 H1: There is a significance difference between the investment options of males and females. H0: There is no significant difference between the investment options of males and females. Banks, Post office mutual stocks gold, insurance pension The chi square is: and other funds, , funds 31.603, d.o.f: 5 govt. savings, H1 is accepted. H0 is Male 23 11 20 22 14 10 rejected. Female 45 20 6 5 20 4 Therefore there is a significant difference. 4
  • 5. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 4.6 H1: There is a significance difference between the investment period of males and females. H0: There is no significant difference between the investment period of males and females. Short term long term The chi square is: 33.704, Male 73 27 d.o.f: 1 Female 32 68 H1 is accepted. H0 is rejected. Therefore there is a significant difference. 4.7. H1: There is a significance difference in renewing the investments of males and females. H0: There is no significant difference in renewing the investments of males and females. 0-1year 1-5year 5-10year 10- The chi square is: 47.643, d.o.f: 3 20year H1 is accepted. H0 is rejected. Therefore Male 38 46 12 4 there is a significant difference. Female 10 32 40 18 s5. Conclusion and Suggestion The present study is unique in that it investigates the gender differences in the IDM process in context of Indian investors. Our empirical tests provide strong support for the behavioral finance model. The following results make the IDM process of female and male investors very informative: โ€ข A higher level of awareness for males than females for different investment avenues. โ€ข Female investors tend to display less confidence in their investment decisions and hence have lower satisfaction levels. โ€ข Female investors are more cautious vis-ร -vis males with regards to prospective investment in equity shares especially if availability of funds is low. โ€ข The underlying dimension in selection of investments reveals emphasis on familiarity, opinion and demographic measures for all investment avenues both for female and male investors. This report/research emphasized the increasing importance of female investors in the investment industry. Whereas the investment industry has recently recognised the wisdom of targeting female investors as a separate market segment, this acknowledgement has been based largely on the premise that female investors look for a different type of relationship with financial professionals than do male investors. The results also shed light on the investorsโ€™ IDM process, which is an important area of academic research. Future research could replicate this study with larger sample and wider coverage. Since our study is restricted to the psycho-economic-demographic variables, future research can also explore the social as well as cultural dimensions so as to have a better understanding into the investorsโ€™ decision making process. 5
  • 6. Research Journal of Finance and Accounting www.iiste.org ISSN 2222-1697 (Paper) ISSN 2222-2847 (Online) Vol 2, No 12, 2011 References โ€ข Kahneman, D. and Tversky, A. (March 1979) Prospect Theory: An Analysis of decision Under Risk, Econometrica, Volume 47, No.2, pp.263-291. โ€ข Kyle, A. S. and Wang, F. A. (December 1997) Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test? The Journal of Finance, Vol. LII No.5 pp.2073- 2090. โ€ข Lewis, L. (8th September 2002) If you want to make money on the stock market, deal with a woman, [Online]. The Independent Newspaper โ€ข Odean, T. (December 1998) Volume, Volatility, Price, and Profit When All Traders Are above Average, The Journal of Finance, Volume LIII No.6, pp.1887-1934. โ€ข Powell, M. and Ansic, D. (1997) Gender differences in risk behaviour in financial decision making: An experimental analysis, Journal of Economic Psychology, 18, pp.605-628. โ€ข Sharpe, W. (1964) Capital asset prices: a theory of market equilibrium under conditions of risk, Journal of Finance, Vol. 19, pp.768-783. โ€ข Shiller, R. J. (โ€œno dateโ€) Human Behaviour and the Efficiency of the Financial System, pp.1-34. www.econ.yale.edu. โ€ข Zuckerman, M. and Kuhlman, D. M. (December 2000) Personality and Risk Taking: Common Biosocial Factors, Journal of Personality, pp.999-1029. 6