THE INTERPLAY OF PSYCHOLOGY AND INVESTMENT STRATEGIES IN FINANCIAL MARKETS

Authors

  • Lin Jimao* Author

Abstract

This paper explores the intricate interplay between psychology and investing strategies in financial markets. It argues that understanding psychological influences on investor choices is essential for navigating market complexities. After introducing the research aims, major psychological factors shaping behaviour are reviewed, including risk appetite, loss aversion, overconfidence, and emotions like fear and greed. The uneven weighing of potential profits and losses in loss aversion can skew decisions, for example, while overconfidence can lead to inflated projections. The paper then examines technical analysis, noting how behavioural patterns indicate shifts in market mood. However, accurately predicting changes based solely on past trends has limitations. Algorithmic trading is highlighted for its ability to remove emotional biases through pre-programmed, data-driven decisions. Additionally, the contrast in psychological foundations between value investing and behavioural finance approaches is analyzed. Value investing relies on enduring market dips to profit from undervalued assets, requiring mental discipline. Behavioural finance aims to capitalize on investor irrationality, needing the flexibility to adapt to volatility. Case studies of famous investors demonstrate applications of behavioural tactics for success. The paper also explains how cognitive biases shape market crashes and manias when emotions like fear and greed are unchecked. Strategies to mitigate effects include long-term thinking, risk control, and comprehending what drives collective behaviour. Finally, the need to incorporate behavioural concepts into investor education is discussed to close knowledge gaps. Improvement of psychological resilience through deliberate practices is also advocated. In conclusion, with technological advances like AI poised to further transform investing psychology dynamics, investors must continually evolve their understanding.

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Published

2024-08-08

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Section

Articles