Financial Revolution: From Traditional Finance to Behavioral and Neuro-finance

Authors

  • Mohammed Rashid Research Scholar, Department of Agriculture Economics and Business Management at Aligarh Muslim University in Aligarh.
  • Rais Ahmad Professor, Department of Agriculture Economics and Business Management at Aligarh Muslim University.
  • Shazeb Tariq Research Scholar, Department of Agriculture Economics and Business Management at Aligarh Muslim University in Aligarh.

DOI:

https://doi.org/10.48165/sajssh.2022.3408

Keywords:

Behavioral Finance, Neurofinance, Neurotechnology, Traditional Finance

Abstract

The paper aims to study the growth and evolution of finance, as well as how the evolution of  finance theories aids investors in decision-making. The traditional finance model's perfect  mobility and rationality fail to predict the economic events, dot-com bubble, and the European debt crisis. These economic disasters provide the foundation for the development of behavioral finance. Psychology and finance are merged into behavioral finance. It defies the traditional  financial premise. The field provides unique insights into financial and investment decision making models. Behavioral finance also serves as a bridge for developing novel financial  solutions known as Neurofinance. Neurofinance employs neurotechnology to explain  participants' behaviour and predict their future behaviour based on observing their brains and  hormonal activity. 

References

Baltussen, G. (2009). Behavioral finance: an introduction. Available at SSRN 1488110.

Banerjee, S. (2011). Learning from prices and the dispersion in beliefs. The Review of Financial Studies, 24(9), 3025-3068.

Belsky, G., & Gilovich, T. (2010). Why smart people make big money mistakes and how to correct them: Lessons from the life-changing science of behavioral economics. Simon and Schuster.

Coase, R. (1998). The new institutional economics. The American economic review, 88(2), 72- 74.

Copur, Z. (Ed.). (2015). Handbook of research on behavioral finance and investment strategies: Decision making in the financial industry: Decision Making in the Financial Industry. IGI Global

Fama, E. F. (1965). The behavior of stock-market prices. The journal of Business, 38(1), 34- 105.

Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The journal of finance, 25(2), 383-417.

Fama, E. F. (1976). Efficient capital markets: reply. The Journal of Finance, 31(1), 143-145. Fama, E. F. (1991). Efficient capital markets: II. The journal of finance, 46(5), 1575-1617.

Fama, E. F. (1998). Market efficiency, long-term returns, and behavioral finance. Journal of financial economics, 49(3), 283-306.

Fama, E. F. (2014). Two pillars of asset pricing. American Economic Review, 104(6), 1467-85.

Fischer, B., & Myron, S. (1973). The pricing of options and corporate liabilities. Journal of political Economy, 81(3), 637-654.

Harrison, G. W. (2008). Neuroeconomics: A critical reconsideration. Economics & Philosophy, 24(3), 303-344.

Haselton, M. G., Nettle, D., Andrews, P. W., & Buss, D. M. (2005). The handbook of evolutionary psychology. The evolution of cognitive bias, 724-746.

Hayek Hayek, F. A. (1945). American Economic Association. The American Economic Review, 35(4), 519-530.

Heukelom, F. (2007). Kahneman and Tversky and the origin of behavioral economics.

Khalid, B., & Sheerin, A. (2020). Behavioural Intent of Indian Consumers to Accept Mobile Banking Services. South Asian Journal of Social Science and Humanities, 1(3), 50-70.

Kirman, A. (2010). The economic crisis is a crisis for economic theory. CESifo Economic Studies, 56(4), 498-535.

Kuhnen, C. M., & Knutson, B. (2005). Finansal risk almanın sinirsel temeli. Nöron, 47, 763- 770.

Kuorikoski, J., & Ylikoski, P. (2010). Explanatory relevance across disciplinary boundaries: the case of neuroeconomics. Journal of Economic Methodology, 17(2), 219-228.

LeRoy, S. F. (1976). Efficient capital markets: Comment. The Journal of Finance, 31(1), 139- 141.

Lintner, J. (1975). The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. In Stochastic optimisation models in finance (pp. 131- 155). Academic Press.

Lo, A. W., & Repin, D. V. (2002). The psychophysiology of real-time financial risk processing. Journal of cognitive neuroscience, 14(3), 323-339.

Lo, A. W., Repin, D. V., & Steenbarger, B. N. (2005). Fear and greed in financial markets: A clinical study of day-traders. American Economic Review, 95(2), 352-359.

MacKenzie, D. (2008). An engine, not a camera: How financial models shape markets. Mit Press.

Malkiel, B. G. (2003). The efficient market hypothesis and its critics. Journal of economic perspectives, 17(1), 59-82.

Markowitz, H. (1952). Portfolio selection J. Finance.

Merkle, C., Kempf, A., & Niessen-Ruenzi, A. (2009). Emotion and Finance-An Interdisciplinary Approach to the Impact of Emotions on Financial Decision Making.

Merton, R. C. (1973). Theory of rational option pricing. The Bell Journal of economics and management science, 141-183.

Muhammad, N. M. N., & Maheran, N. (2009). Behavioural Finance vs traditional finance. Adv. Manage, 2(6), 1-10.

Mundale, J., & Bechtel, W. (1996). Integrating neuroscience, psychology, and evolutionary biology through a teleological conception of function. Minds and Machines, 6(4), 481- 505.

Newman, P., Milgate, M., & Eatwell, J. (Eds.). (1992). The new Palgrave dictionary of money & Finance (Vol. 3, pp. 445-446). London: Macmillan.

Noor, M. A. (2022). Factors Influencing the Implementation of Integrated Financial Management Information Systems: Study Focus on Bangladesh. South Asian Journal of Social Science and Humanities, 3(2), 32-55.

O'reilly, R. C., & Munakata, Y. (2000). Computational explorations in cognitive neuroscience: Understanding the mind by simulating the brain. MIT press.

Paul, K. (2009). The return of depression economics and the crisis of 2008. New York.

Payzan-LeNestour, E., & Bossaerts, P. (2012, May). Learning to choose the right investment in an unstable world. In Paris December 2012 Finance Meeting EUROFIDAI-AFFI Paper.

Peterson, R. L. (2005). The neuroscience of investing: fMRI of the reward system. Brain research bulletin, 67(5), 391-397.

Pompian, M. M. (2011). Behavioral finance and wealth management: how to build investment strategies that account for investor biases. John Wiley & Sons.

Sapra, S. G., & Zak, P. J. (2008). Neurofinance: Bridging psychology, neurology, and investor behavior. Neurology, and Investor Behavior (December 1, 2008).

Sewell, M. (2007). Behavioural Finance. University of Cambridge, 1-14.

Sewell, M. (2012). The efficient market hypothesis: Empirical evidence. International Journal of Statistics and Probability, 1(2), 164.

Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The journal of finance, 19(3), 425-442.

Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral Finance and the psychology of investing. Oxford University Press on Demand.

Shiller, R. J. (2000). Irrational Exuberance, Princeton Univ.

Shiller, R. J. (2000). Measuring bubble expectations and investor confidence. The Journal of Psychology and Financial Markets, 1(1), 49-60.

Statman, M. (1999). Behaviorial Finance: Past battles and future engagements. Financial analysts journal, 55(6), 18-27.

Suhaimi, S. (2021). Challenges of Public Participation: A Qualitative Study. South Asian Journal of Social Science and Humanities, 2(5), 100-109.

Taffler, R. J., & Tuckett, D. A. (2010). Emotional Finance: The role of the unconscious in financial decisions. Behavioral Finance: Investors, corporations, and markets, 95-112.

Tseng, K. C. (2006). Behavioral finance, bounded rationality, neuro-finance, and traditional finance. Investment Management and Financial Innovations, 3(4), 7-18.

Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. science, 185(4157), 1124-1131.

Watson, M. (2007). Searching for the Kuhnian moment: The Black-Scholes-Merton formula and the evolution of modern finance theory. Economy and Society, 36(2), 325-337.

Zajonc, R. B. (1980). Feeling and thinking: Preferences need no inferences. American psychologist, 35(2).

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Published

2022-08-04

How to Cite

Rashid, M., Ahmad, R., & Tariq, S. (2022). Financial Revolution: From Traditional Finance to Behavioral and Neuro-finance. South Asian Journal of Social Sciences and Humanities, 3(4), 95–108. https://doi.org/10.48165/sajssh.2022.3408