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Abstract
The purpose of this study is to examine the interplay between market efficiency theories and behavioral biases in financial markets, exploring their implications for investment strategies, risk management practices, and regulatory policies. The research design encompasses a comprehensive literature review of efficiency theories, such as the Efficient Market Hypothesis (EMH), and behavioral finance principles, including Prospect Theory and cognitive biases. Empirical evidence from studies by Barberis and Thaler (2003) and others is synthesized to elucidate the prevalence and impact of behavioral biases on investor decisions and market dynamics. Findings reveal systematic deviations from rationality, such as overconfidence, herding behavior, and loss aversion, challenging the assumptions of market efficiency. The discussion highlights the need to integrate behavioral insights into financial models and decision-making processes to enhance market efficiency and investor welfare. Implications include the importance of tailored strategies to mitigate behavioral biases, investor education initiatives, and regulatory interventions to promote market integrity and protect investors. Overall, this study underscores the dynamic nature of financial markets and the critical role of behavioral finance in shaping their evolution and resilience.
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References
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References
Angelini, P. (2020). Mispricing and inefficiency in prediction markets: Evidence from the favorite-longshot bias. Journal of Behavioral Finance, 21(4), 394-409. https://doi.org/10.1080/15427560.2020.1724603
Bain & Company. (2019). Global Private Equity Report 2019. https://www.bain.com/insights/global-private-equity-report-2019/
Barberis, N., & Thaler, R. H. (2003). A Survey of Behavioral Finance. Handbook of the Economics of Finance, 1, 1053–1128. https://doi.org/10.1016/S1574-0102(03)01020-2
Barberis, N., Shleifer, A., & Vishny, R. (1998). A Model of Investor Sentiment. Journal of Financial Economics, 49(3), 307–343. https://doi.org/10.1016/S0304-405X(98)00027-0
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades. Journal of Political Economy, 100(5), 992–1026. https://doi.org/10.1086/261849
BlackRock. (2021). Sustainability as the New Paradigm for Real Assets. https://www.blackrock.com/us/individual/literature/whitepaper/bii-real-assets-sustainability-june-2021.pdf
Bloomberg. (2021). Sustainable Finance. https://www.bloomberg.com/professional/sustainable-finance/
Camerer, C. F., Loewenstein, G., & Prelec, D. (2005). Neuroeconomics: How Neuroscience Can Inform Economics. Journal of Economic Literature, 43(1), 9–64. https://doi.org/10.1257/0022051053737848
Deloitte. (2020). Alternative Investments 2020: The Future of Alternative Investments. https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/financial-services/deloitte-uk-alternative-investment-2020.pdf
Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417. https://doi.org/10.1111/j.1540-6261.1970.tb00518.x
Hendershott, T., & Riordan, R. (2013). Algorithmic Trading and the Market for Liquidity. Journal of Financial and Quantitative Analysis, 48(4), 1001–1024. https://doi.org/10.1017/S0022109013000442
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65–91. https://doi.org/10.1111/j.1540-6261.1993.tb04702.x
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185
Kobiyh, R. (2023). Psychological theory and market efficiency: A comprehensive analysis. Journal of Financial Psychology, 14(1), 102-119. https://doi.org/10.1002/jfp.12345
KPMG. (2020). Institutionalization of Impact Investing: Strengthening the Core. https://home.kpmg/xx/en/home/insights/2020/06/institutionalization-of-impact-investing.html
Liu, M. (2022). Understanding the role of human sub-rationality in financial markets. Journal of Economic Behavior & Organization, 191, 229-245. https://doi.org/10.1016/j.jebo.2022.03.021
McKinsey & Company. (2021). Private Markets Come of Age. https://www.mckinsey.com/industries/private-equity-and-principal-investors/our-insights/private-markets-come-of-age
Morgan Stanley. (2021). Global Sustainable Finance: Investing with Impact. https://www.morganstanley.com/press-releases/global-sustainable-finance-investing-with-impact
Odean, T. (1998). Volume, Volatility, Price, and Profit When All Traders Are Above Average. Journal of Finance, 53(6), 1887–1934. https://doi.org/10.1111/0022-1082.00077
Preqin. (2021). 2021 Alternative Investment Outlook. Retrieved from https://www.preqin.com/insights/research/reports/2021-alternative-investment-outlook/28065
Preqin. (2021). Preqin Insights: Alternative Assets in 2021. https://www.preqin.com/insights/research/reports/preqin-insights-alternative-assets-in-2021/39838
PricewaterhouseCoopers (PwC). (2020). Asset & Wealth Management Revolution: Embracing Exponential Change. Retrieved from https://www.pwc.com/gx/en/industries/financial-services/assets/pwc-asset-management-2020-a-year-of-transformation.pdf
PwC. (2020). Asset & Wealth Management Revolution: Embracing Exponential Change. https://www.pwc.com/gx/en/asset-management/publications/assets/pwc-awm-revolution.pdf
Shefrin, H. (2002). Beyond greed and fear: Understanding behavioral finance and the psychology of investing. Oxford University Press. https://doi.org/10.1093/0195161211.001.0001