The researcher to define the, behavioural finance is the study of the influence of psychology on the

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Volume - 5, Issue- 12, December 2017 IC Value 2016 : 61.33 e-issn : 2347-9671 p- ISSN : 2349-0187 EPRA International Journal of Economic and Business Review SJIF Impact Factor(2017) : 7.144 ISI Impact Factor (2013): 1.259(Dubai) Research Paper DEMOGRAPHIC PROFILE AND PREFERRED INVESTMENT AVENUES FOR SMALL INDIVIDUAL INVESTORS IN TIRUNELVELI DISTRICT Dr. Shunmugathangam P 1 1 Assistant Professor, Department of Business Administration, Sri Sarada College for Women, Tirunelveli District, Tamilnadu, India. ABSTRACT The researcher to define the, behavioural finance is the study of the influence of psychology on the behaviour of financial practitioners and the subsequent effect on markets. The science deals with theories and experiments focused on what happens when investors make decisions based on hunches or emotions. Thus, behavioural finance can be defined as a field of finance that proposes explanation of stock market anomalies using identified psychological biases, rather than dismissing them as chance results consistent with the market efficiency hypothesis. It is assumed that individual investors and market outcomes are influenced by information structure and variance characteristics of market participants. KEYWORDS: Investment strategies, Investment decision, Investment avenues, Gold financial market, Individual investors, Investment performance INTRODUCTION markets are influenced by many factors, the economic Behavioural Finance processes which take place in the country and the world, The traditional finance paradigm seeks to institutional and political constraints information. But understand financial markets using models in which investors behavioural finances influence the behavioural factors in small are rational. Even though many traditional theories of individual investors investment decision making. There are varying complexities and explanatory power have existed and two types of investors classified in India: one is small evolved over the past several decades, the rationality of individual investors and another one is institutional investors. investors is a central assumption all and sundry. The field of The researcher has focused only on the small individual finance has evolved over the past few decades based on the investors investing in more than one investment avenues. As assumption that people make rational decisions and that they a researcher has observed that the problem of this study is are unbiased in their predictions about the future. Investors that a few research works have proved that there is a great are thought of as a rational lot that take carefully weighted impact one or two behavioural factor influences the small economically feasible decisions every single time. A rational individual investors preferred investment avenues for stock investor can be defined as a one that always (i) updates his market and mutual funds but this research has focuses that beliefs in a timely and appropriate manner on receiving new not only stock market, mutual fund investments are influenced information; (ii) makes choices that are normatively by the small individual investors behavioural factors and also acceptable. Behavioural finance is a branch of finance that reflect result on investment performance. studies how the behaviour of agents in the financial market OBJECTIVES OF THE STUDY and influenced by psychological factors and the resulting To study the demographical profile of the small influence on decisions made while buying or selling the market, individual investor in Tirunelveli district. thus affecting the prices. The science aims to explain the To study the preferred more than one investment reasons why it s reasonable to believe that markets are avenues of the small individual investors. inefficient. Some of the key definitions of behavioural finance REVIEW OF LITERATURE are discussed below. The paper by Anli Suresh (2013), paper is on Statement of the Problem understanding behavioural finance through biases and traits The research is about behavioural finance because of trader vis-à-vis the investor attempts to fill the void and behavioural finance has made its impact on almost every field explore the relationship among these factors. The concluding of life. In this concept study the how cognitive behavioural observation is that understanding variance behavioural key factors affect investment decisions making process towards biases and traits can help an individual take sound financial preferred more than one investment avenues. Global financial decision and in turn make him a better trader / investor. www.eprawisdom.com Volume - 5, Issue- 12, December 2017 77

EPRA International Journal of Economic and Business Review SJIF Impact Factor(2017) : 7.144 The paper by Babaraju, Bhatt, Apurva A. Chauhan (2014), is concept oriented and not an empirical study. The objectives of the study were to understand behavioural finance new paradigm of finance and know the difference between traditional finance and behavioural finance, to identify variance behavioural factors influencing the decision of investor in stock market in conceptual wise investigation. The final result of the study can be drawn that investors do not always think and behave in a rational manner. The paper by Charu Thakeral, Babita Dosash and Vimal (2013), provides an overview of theories of behavioural finance that seek to explain the non-financial indicators, the main analysis of this study is based on the concept personality of that the investor affects financial decision making. This study covers the personality characteristics of individual as well as the social environments. The result of this study is that there is a strong relation between personality and financial decision making. Five types of personality traits were discovered which shows that theses is a very strong association between the personalities of investors and thesis financial investment decision making. The study by Egidus Bikas and Pertas Dubinskas (2013), investigates the behavioural finance factors influencing investment decisions in the Kenyan NSE with a particular interest in Machakos country. This study was aimed at better reflecting the way NSE investors think and behave by use of behavioural finance. It was intended to verify the extent to which these behavioural factors contribute to the success or failure of the investments made by these investors. Finally the study focuses on establishing the frequency at which these factors are utilized in informing investment decisions making by NSE investors. The result of this study is not an end in itself as it suggests further studies and research in this field with a view to identifying the most influential factors on stock market investors, behaviour on how they base their future investment strategies and how they are likely to affect their investment decisions. The paper by Muhammed Zul Qurnain Asab and Sobiaa Manzoor (2014), the objective of this paper is to understand the psychology in human being. It plays a major role for taking a decision about the certain action. The paper also examines the cognitive biases and emotional deviation and factors effecting the decisions making process of the people. The study is helpful as a tool for better decisions making by the investors and decreasing the chance of mistakes. The paper concludes that behavioural finance plays an important role in investors decisions making. The paper by Nicholas Barberis and Richard Thaler (2003), behavioural finance argues that some financial phenomena can plausibly be understood using models in which some agents are not fully rational. The field has two building blocks: limits to arbitrage, which argues that it can be difficult for rational traders to undo the dislocations caused by less rational traders; and psychology, which catalogue the kinds of deviations from full rationality we might expect to see. They discuss these two topics, and then present a number of behavioural finance applications: to the aggregate stock market, to the cross-section of average returns, to individual trading behaviour, and to corporate finance. They close by assessing progress in the field and speculating about its future course. The paper by Shahid Iqbal, Nazik Hussain, Madiha Latif and Sumaira Aslam (2013), is to identify the relationship and link between investor behaviour and financial market anomalies. The paper also explains that either mentioned investor behaviours have a direct or indirect impact on stock market change or the change compels the investor to behave in specific ways and also explains that an individual investor performs poorly as compared to institutional investors because of having less information and sophistication. Individual investor behaviour, as identified in most of the research findings, is the reason for the existence of stock market anomalies. The most compelling factors behind stock market anomalies are investor overconfidence, overreaction, overestimation, investor biased behaviour and investors less sophistication level. The result of the research is that local investors feel frustrated to invest in the stock markets due to irrationality and lack of information. Thus institutional and foreign investors are playing well and maximizing their wealth. RESEARCH METHODOLOGY a) Type of research design Existing research, have used two types of research designs that is descriptive research design and experimental research design. b) Type of survey The research has used sample survey. c) Type of universe The first step in developing any sample design is to clearly define the set of objects, technically called the universe to the studies. There are two types of universe finite or infinite universe. The present research is based on the finite universe and the number of items is finite. d) Population There are 32 districts available in Tamilnadu; the districts are divided into four regions: east, west, south and north. The present only concentrate one south zone only. The zone includes five districts Dindigul, Madurai, Tuticorin, Kanyakumari and Tirunelveli. The current study deals with the higher level population of Tirunelveli district. e) Sampling unit The current study sample units, small individual investors include more than one preferred investment avenues. f) Sample size determination Present research based on the total population in Tirunelveli district has decided to sample size determination. In Tirunelveli district, the total population in 2011 in Tirunelveli district was collected from the manual. Formula for finite population n = Z 2 pqn / (N-1) e 2 +Z 2 pq Z = Z value e.g. 1.96 for 95% confidence level, p = population proportion (expressed as decimal) (assumed to be 0.5 (50%) since this would provide the maximum sample size). n = sample size for finite population. n = 1.96 2 *0.5(1-0.5)*3072880 / (0.05) 2 (3072880-1) + 1.96 2 *0.5(1-0.5) n = 2949964.8 / 7682.19 + 0.96 www.eprawisdom.com Volume - 5, Issue- 12, December 2017 78

e-issn : 2347-9671, p- ISSN : 2349-0187 n = 2949964.8 / 7683.15 Sample size determination proportionate method =.0004 (approximately ) Sample size = By only of the total population in Tirunelveli district and the sample size was determined by in the main study. c) Sampling technique Probability sampling Dr. Shunmugathangam P A method for selecting individuals for each member of the population has an equal chance of being selected to be added to the study. RESULTS ANALYSIS AND INTERPRETATION OF DATA Demographical Profile of Small Individual Investors in Tirunelveli District Gender of the respondents The gender wise distribution of small individual investors was analyzed and the results are presented in Table 1. Table 1: Gender wise classification of the respondents S. No. Gender Number of Small Percentage Individual Investo rs 01. Male 234 60.9 02. Female 150 39.1 Total From the above table it is undershoot that 60.90% of the respondents belong to the gender group of male followed by 39.10% of the respondents belongs to the female. It is inferred that the majority of respondents belongs to the gender group of male (60.90%). Graph 1: Gender wise classification of the respondents Age of the respondents The age wise distribution of small individual investors was analyzed and the results are presented in Table 2. Table 2: Age wise classification of respondents S. No. Age Number of Small Percentage 01. 18-25 62 16.1 02. 26-35 126 32.8 03. 36-45 112 29.2 04 46-55 53 13.8 05. 56 above 31 8.1 Total Graph 2: Age wise classification of respondents www.eprawisdom.com Volume - 5, Issue- 12, December 2017 79

EPRA International Journal of Economic and Business Review SJIF Impact Factor(2017) : 7.144 The results indicate that about 32.8% of the (32.8%) and lower of the respondents belong to the age group respondents belong to the age group of 26-45years followed of above 56 (8.1%). by the 36-45 years (29.2%), 18-25years (16.1%), 46-55years Education level of the respondents (13.8%) and above 56 (8.1%) of the respondents. The majority Education level of small individual investors was of the respondents belong to the age group of 26-35 years analyzed and the results are presented in Table 3. Table 3: Education level wise classification of respondents S. No. Education Level Number of Small Percentage 01. School level / Diploma / 126 32.8 ITI 02. Graduate 78 20.3 03. Post graduate 72 18.8 04 Professional degree 29 7.6 05. Illiterate 79 20.6 Total Graph 3: Education level wise classification of respondents It is observed the about 32.8% of the respondents belong to the education level is school / diploma / ITI followed by 20.6% of the respondents are illiterate, 20.3% of the respondents belong to the education level is graduate, 18.8% of the respondents are post graduate and 7.6% of the respondents belong to the education level is professional degree. It is inferred that the majority of the respondents belong to the educational level is school / diploma / ITI and lower proportion of respondents belong to the education level is professional degree. Occupation level of small individual investors Employment factor determinates the commitment and obligation of respondents in the investment ground. It has its own influences on the anxiety and stance of the respondents was accurate investment preference. The employment status of the respondents was confined into government employees, private employees and business. The occupation level of small individual investors was analyzed and the results are presented in Table 4. Table 4: Occupation level wise classification of small individual investors S. No. Occupation Number of Small Percentage 01. Government employee 132 34.4 02. Private employee 186 48.4 03. Own-business 66 17.2 Total Graph 4: Occupation level wise classification of small individual investors www.eprawisdom.com Volume - 5, Issue- 12, December 2017 80

e-issn : 2347-9671, p- ISSN : 2349-0187 It is clear that about 48.4% of the respondents belong to the occupation level of private employees followed by 34.4% of the respondents are government employee and 17.2% of the respondents belong to the occupation level of having own-business. It is inferred that the majority of the respondents belong to the occupation level of private Dr. Shunmugathangam P employees and lower depict of the respondent belong to the having own-business. Income level wise classification of small individual investors The income level wise classification of small individual investors was analyzed and the results are presented in Table 5. Table 5: Income level wise classification of respondents S. No. Education Level Number of Small Percentage 01. Below 20000 36 9.4 02. 20001-30000 120 31.3 03. 30001-40000 130 33.9 04 40001-50000 60 15.6 05. Above 50001 38 9.9 Total Graph 5: Income level wise classification of respondents Table 6 and Graph 6 shows that the 9.4% of the respondents monthly income belongs to the below 20000, 31.3% of the respondents monthly income belongs to 20001-30000, 33.9% of the respondents monthly income belongs to 30001-40000, 15.6% of the respondents monthly income belongs to 40001-50000 and 9.9% of the respondents monthly income belongs to above 50001. Thus it depicts a higher proportion of monthly income in 20001-300000 and lower proportion of monthly income in small individual investors belong to the below 20000. INVESTMENT AVENUES investment avenues by respondents Investors are able preferred an investment avenues with potential risk and returns to suit their own preferences. However, at the time of purchase, investors behaviour is formed by factors including expert advice from management consultants and reference investment experience. Investors who have experienced make new investment decisions bearing loss in mind. Additionally, small individual investors refer to financial news and other information sources as basis for their assessment of risk in products they are considering. All the factors affect investors preferred investment avenues by respondents was confined into eleven investment category such as post office, bank deposit, insurance, debt, bond, share market, public provident fund, government securities, gold, real estate, chit funds, national securities, others investment avenues for vehicles, ornaments, tangible and intangible good etc. more than one investment avenues in small individual investors were analyzed and the results are presented in Table 6. www.eprawisdom.com Volume - 5, Issue- 12, December 2017 81

EPRA International Journal of Economic and Business Review SJIF Impact Factor(2017) : 7.144 Table 6: investment avenues wise classification of small individual investors S. No. Investment Avenues Classification of Investment Number of Small Percentage Avenues 01. Post office 02. Bank deposit 03. Public provident fund 04. National savings securities 05. Government securities 06. Mutual fund 07. Life insurance 08. Dept 09. Bond 10. Share market 11. Real estate 12. Gold / silver 13. Chit funds 14. Other investment avenues & computed data 152 232 185 199 121 263 163 221 92 292 199 185 261 123 93 291 41 343 322 62 237 147 200 184 199 185 282 102 39.6 60.4 48.2 51.8 31.5 68.5 42.4 57.6 24.0 76.0 51.8 48.2 68.0 32.0 24.2 75.8 10.7 89.3 83.9 16.1 61.7 38.3 53.1 47.9 51.8 48.2 73.4 26.4 Graph 6: investment avenues wise classification of small individual investors The sample of small individual investors preferred in each investment avenues. 152 of (39.6%) of the respondents preferred investment in post office and remaining 232 (60.4%) of the respondents not preferred the post office. In bank deposit 185 of (48.2%) of the respondents preferred and remaining 199 (51.8%) of the respondents preferred the bank deposit. 121of (31.5%) of the respondents invested their money in PPF and remaining 263 (68.5%) of the respondents not invested in their money in that investment. 163 of (42.4%) of the respondents www.eprawisdom.com Volume - 5, Issue- 12, December 2017 82

e-issn : 2347-9671, p- ISSN : 2349-0187 invested their money in national savings securities remaining respondents not invested in their national savings securities. 92 of (24.0%) of the respondents invested in their money in government securities and remaining 292 (76.0%) of the respondents not invested in their government savings securities. 199 of (51.8%) of the respondents invested in their money in mutual funds and remaining respondents not invested their money in mutual funds. 261of (68.0%) of the respondents invested in their money in life insurance and remaining 123 (32.0%) of the respondents not invested in their money in life insurance. 93 of (24.2%) of the respondents invested in their money in debt and remaining 291 (75.8%) of the respondents not invested in the debt. 41 of (10.7%) of the respondents invested in their money in bond and remaining respondents 343 (89.3%) of the respondents not invested in their money in bond. 282 of (73.4%) of the respondents invested in their money in share market remaining respondents not invested in their money in Dr. Shunmugathangam P share market. 237 of (61.7%) of the respondents invested in their money in real estate and remaining respondents not invested their money in real estate. 200 of (53.1%) of the respondents invested their money in gold / silver and remaining respondents not invested their in gold / silver, 199 of (51.8%) of the respondents invested in their money in chit funds remaining respondents invested in their money in and 199 of (73.3%) of the respondents not invested their money in chit funds and other investment avenues vehicles other necessity goods and remaining 184 (63.0%) of the respondents not invested their money in other investment avenues. It is inferred that the majority of the respondents have preferred in their investment avenues for share market 282 of (73.4), other investment avenues 282 of (73.3%) and most of the small individual investors have not preferred investment avenues in bond (89.5%). Investment amount of respondents The below table shows the percentage of investment amount made by the respondents an invested in preferred investment avenues. Table 7: Investment amount wise classification of small individual investors S. No. Annual Investment Number of Small Percentage Amount 01. Below 10% 29 7.6 02. 11-20% 78 20.3 03. 21-30% 72 18.8 04 31-40% 126 32.8 05. Above 40% 79 20.6 Total & computed data Graph 7: Investment amount wise classification of small individual investors From the above table and graph it is understood ACKNOWLEDGEMENT that 32.80% of the respondents belong to the investment I would like to express my deep and sincere gratitude amount have invested in 31-40% followed by 20.60% (above to my research supervisor Dr. E. Raja Justes, Professor, 40%), 18.80 % (21-30%) and 7.60% (below 10%). It is inferred Department of Management Studies (Finance), Manonmaniam that the majority of respondents belong to the investment Sundaranar University, Tirunelveli for giving me an amount have invested in investment avenues 31-40% and opportunity to do research and for providing valuable guidance lower proportion of the respondents belong to the investment throughout this research work. amount have invested in investment avenues below 10%. CONCLUSION REFERENCES Behavioural finance is a field of finance that proposes (1) Anli Suresh (2013) Understanding behavioural finance through biases and traits of trader vis-a-vis investor, psychology-based theories to explain stock market Journal of Finance, Accounting and Management, July anomalies. Within behavioural finance, it is assumed that the 2013, 4(2): 11-25 information structure and the characteristics of market (2) Babaraju K. Bhatt, Apurva A. Chauhan (2014) Behavioural participants systematically influence individuals investment finance: a new paradigm of finance, International Journal decisions as well as market outcomes. Behavioural factors of Application or Innovation in Engineering & Management, influencing to prefer more than one investment avenues in February 2014, 3(2): 359-362 small individual investors is a significant topic within the (3) Charu Thakral, Babita Dosajh, Vimal Aggarwal (2013) behavioural finance literature is the notion of behavioural Role of behavioural finance in financial market: an factors influencing pertaining to novice small individual exploration of personalities of retail investors. investors. There are a substantial number of behavioural factors International Journal of Management and Social Sciences that influence an investors preferred more than one investment Research, October 2013, 2(10): 30-33, www.irjcjournals.org avenues. www.eprawisdom.com Volume - 5, Issue- 12, December 2017 83

EPRA International Journal of Economic and Business Review SJIF Impact Factor(2017) : 7.144 (4) Egidijus Bikas, Daiva Jureviciene, Petras Dubinskas, Lina Author Biography Novickyte (2013) Behavioural finance: the emergence and Dr. Shunmugathangam P, is now working development trends, Procedia - Social and Behavioural as an Assistant Professor in the Department Sciences, July 2013, 82: 870-876, www.sciencedirect.com of Business Administration. She received (5) Muhammad Zulqarnain Asab, Sobia Manzoor, Hina Naz doctor of Philosophy degree in Management (2014) Impact of behavioural finance & traditional finance Studies (Finance) from Manonmaniam on financial decision making process, Journal of Economics Sundaranar University in 2017 respectively. and Sustainable Development, November 2014, 5(18): 89- She received Master of Commerce degree in 95, www.iiste.org Banking & Insurance Management and Post (6) Nicholas Barberis Richard Thaler (2003) A survey of Graduate Diploma degree in Finance and behavioural finance, Elsevier Science, Handbook of the Taxation from Annamalai University in 2016 Economics of Finance, September 2002, 1053-1128 and in 2015 respectively. She has published (7) Shahid Iqbal, Nazik Hussain, Madiha Latif and Sumaira various original research articles in many Aslam (2013) Investor type and financial market anomalies: international journals. She is working as an a comparison of individual, institutional and foreign Autonomous Joined Coordinator in Sri investors and role of their behaviours in investing Sarada College for Women. decisions, Middle-East Journal of Scientific Research, 17(11): 1591-1596 www.eprawisdom.com Volume - 5, Issue- 12, December 2017 84