CONCLUSION
Behavioral Finance is a recently developing approach in finance literature. And as a result of its challenging findings to the modern finance theory it is mainly ignored across the traditional academic environment.
However its arguments are solid and assumptions are more close to the real markets this new approach has a rapid development in recent years. Main idea of the behavioral finance is that, investors are not as rational as they are assumed to be. Therefore, financial markets could be better understood by using models which capture the effects of both rational and irrational investors.Behavioral Finance and Efficient Market Hypothesis are not competing approaches, but rather complementary approaches. The merger of these two areas of research is an inevitable event which is very possible to occur in the near future. Finally it should be noted that behavioral finance is not a separate discipline, but will increasingly become part of mainstream finance. The real markets especially financial markets are so complicated, without the depth and breadth of different approaches combined it will not be possible to capture the magic of real markets.
References
Andrikopoulos, P. (2007). Modern finance vs. behavioural finance: An overview of key concepts and major arguments. The ICFAI Journal of Behavioural Finance, 4(2), 53-70.
Baker, M., Ruback, R. S., & Wurgler, J. (2004). Behavioral corporate finance: A survey. National Bureau of Economic Research.
Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797-817. doi:10.2307/2118364
Barberis, N., Huang, M., & Santos, T. (2001). Prospect theory and asset prices. The Quarterly Journal of Economics, 116(1), 1-53. doi:10.1162/003355301556310
Benartzi, S., & Thaler, R. H. (1995). Myopic loss aversion and the equity premium puzzle.
The Quarterly Journal of Economics, 110(1), 73-92. doi:10.2307/2118511Benartzi, S., & Thaler, R. H. (2001). Naive diversification strategies in defined contribution saving plans. The American Economic Review, 91(1), 79-98. doi:10.1257/aer.91.1.79
Black, F. (1986). Noise. The Journal of Finance, 41(3), 529-543. doi:10.1111/j.1540-6261.1986. tb04513.x
Bodie, Z., Kane, A., & Marcus, A. J. (1995). Essentials of investments. New York: McGraw-Hill.
Bondt, W. F., & Thaler, R. (1985). Does the stock market overreact? The Journal of Finance, 40(3), 793-805. doi:10.1111/j.1540-6261.1985. tb05004.x
Brabazon, T. (2000). Behavioral finance: A new sunrise or a false dawn. Limerick, Ireland: University of Limerick.
Campbell, J. Y. (2000). Asset pricing at the millennium. The Journal of Finance, 55(4), 1515-1567. doi:10.1111/0022-1082.00260
Cootner, P. H. (1964). The random character of stock market prices. Cambridge, MA: MIT Press.
Cornicello, G. (2004). Behavioural finance and speculative bubble. (Doctoral dissertation). University of Bocconi.
Daniel, K., & Titman, S. (2000). Market efficiency in an irrational world. National Bureau of Economic Research.
De Bondt, W. F., & Thaler, R. H. (1994). Financial decision-making in markets and firms: A behavioral perspective. National Bureau of Economic Research.
Fama, E., Fisher, L., Jensen, M., & Roll, R. (1969). The adjustment of stock prices to new information. International Economic Review, 10(1), 1-21. doi:10.2307/2525569
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417. doi:10.2307/2325486
Fama, E. F. (1991). Efficient capital markets:
II. The Journal of Finance, 46(5), 1575-1617. doi:10.1111/j.1540-6261.1991.tb04636.x
Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance. Journal of Financial Economics, 49(3), 283-306. doi:10.1016/ S0304-405X(98)00026-9
Froot, K., & Dabora, E.
(1998). How are stock prices affected by the location of trade? NBER Working Paper Series.Glaeser, E. (2003). Psychology and the market. Cambridge, MA: Harvard Institute of Economic Research.
Glaser, M., Noth, M., & Weber, M. (2003). Behavioral finance. Sonderforschungsbereich: Universitat Mannheim.
Glen, P. (2005). The efficient capital market hypothesis, chaos theory, and the insider filing requirements of the securities and exchange act of 1934: The predictive power of form 4 filings. Fordham Journal of Corporate and Financial Law, 11(1), 85-115.
Gorener, R. (2003). Investors’ behavior and rotated asset pricing models: Empirical evidence. (Doctoral dissertation). Rensselaer Polytechnic Institute.
Hollman, W. A. (2005). Buy and sell decisional analysis of financial advisors. (Doctoral dissertation). Walden University.
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1986). Fairness and the assumptions of economics. The Journal of Business, 59(4), 285-300. doi:10.1086/296367
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. The Journal of Economic Perspectives, 5(1), 193-206. doi:10.1257/ jep.5.1.193
Kahneman, D., & Tversky, A. (1972). Subjective probability: A judgment of representativeness. Cognitive Psychology, 3(3), 430-454. doi:10.1016/0010-0285(72)90016-3
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econo- metrica, 47(2), 263-291. doi:10.2307/1914185
Kim, K. A., & Nofsinger, J. R. (2005). Institutional herding, business groups, and economic regimes: Evidence from Japan. The Journal of Business, 78(1), 213-242. doi:10.1086/426524
Mullainathan, S., & Thaler, R. H. (2000). Behavioral economics. National Bureau of Economic Research.
Nofsinger, J. R. (1996). Tests of herding and positivefeedback trading strategies by institutions and individuals. (Doctoral dissertation).
Washington State University.Nofsinger, J. R., & Sias, R. W. (1999). Herding and feedback trading by institutional and individual investors. The Journal of Finance, 54(6), 2263-2295. doi:10.1111/0022-1082.00188
Olsen, R. A. (1998). Behavioral finance and its implications for stock-price volatility. Financial Analysts Journal, 54(2), 10-18. doi:10.2469/faj. v54.n2.2161
Ritter, J. R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11(4), 429-437. doi:10.1016/S0927-538X(03)00048-9
Rodriguez, J. (2002). Essays in behavioral finance. (Doctoral dissertation). University of Houston.
Samuelson, P. A. (1963). Risk and uncertainty: A fallacy oflarge numbers. Scientia, 98(4-5), 49-56.
Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. The Journal of Finance, 40(3), 777-790. doi:10.1111/j.1540-6261.1985. tb05002.x
Shiller, R. (2003). From efficient market theory to behavioral finance. The Journal of Economic Perspectives, 17(1), 83-104. doi:10.1257/089533003321164967
Shiller, R. J. (1999). Handbook of Macroeconomics: Vol. 1. Human behavior and the efficiency of thefinancial system (pp. 1305-1340). doi:10.1016/ S1574-0048(99)10033-8
Shiller, R. J. (2001). Irrational exuberance. New York: Broadway Books.
Shiller, R. J. (2002). Bubbles, human judgment, and expert opinion. Financial Analysts Journal, 58(3), 18-26. doi:10.2469/faj.v58.n3.2535
Thaler, R. H. ( 1999). Mental accounting matters. Journal of Behavioral Decision Making, 12, 183-206. doi:10.1002/ (SICI)1099-0771(199909)12:33.0.CO;2-F
Thaler, R. H. (2000). From homo economicus to homo sapiens. The Journal of Economic Perspectives, 14(1), 133-141. doi:10.1257/jep.14.1.133 Timmermann, A., & Granger, C. W. (2004). Efficient market hypothesis and forecasting. International Journal of Forecasting, 20(1), 15-27. doi:10.1016/S0169-2070(03)00012-8
Tversky, A., & Kahneman, D. (1986). Rational choice and the framing of decisions.
The Journal of Business, 59(4), 251-278. doi:10.1086/296365Tversky, A., & Kahneman, D. (1991). Loss aversion in riskless choice: A reference-dependent model. The Quarterly Journal of Economics, 106(4), 1039-1061. doi:10.2307/2937956
Wermers, R. (1999). Mutual fund herding and the impact on stock prices. The Journal of Finance, 54(2), 581-622. doi:10.1111/0022-1082.00118
KEY TERMS AND DEFINITIONS
Behavioral Finance: A field of finance that proposes psychology-based theories to explain movements in stock markets. Within behavioral finance, it is accepted that the investors are that smart as they assumed to be.
Cognitive Biases: Cognitive bias refers to an impairment of judgment leading to irrationality and perceptual distortion. It may occur as a result of moral and emotional motivation, limited access to information or influences of the society leading to a decision or judgment that is not fair.
Noise Trading: A rational agent is an agent who has clear preferences, models uncertainty via expected values, and always chooses to perform the action with the optimal expected outcome for itself from among all available actions.
Prospect Theory: This theory describes how individuals evaluate losses and gains. The theory is proposed by Daniel Kahneman and Amos Tversky.
This work was previously published in Global Strategies in Banking and Finance, edited by Hasan Dincer and Umit Hacioglu, pages 254-271, copyright 2014 by Business Science Reference (an imprint of IGI Global).
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