Abstract

The objective of the paper is to introduce a conceptual framework for the study of learning behavior of an individual investor in the context of stock trading. It is developed based on the review of behavioral finance literature, and insights from cognitive, behavioral and social learning theories and related empirical evidence. The framework recognizes the investor as an entity that learns consciously and/or unconsciously for continually updating its perspectives underlying stock trading. The intentional or consciousness form of learning occurs as individual learning through reflection of past trading experiences whereas the learning happens unconsciously as social learning through inquiry and imitating the others’ behaviors. These learning processes are expected to be affected by interaction of various structures and processes, both internal and external to the investor, such as cognitive, affective, social and behavioral ones. Accordingly, the framework suggests five hypotheses to examine the determinants of these learning behaviors and to assess whether the investors learn over passage of time through the effects of these structures and processes. It promotes primary data-based behavioral finance empirical studies to track dynamics involved in learning, which could provide new insights on such behavior predicted by the adaptive market hypothesis.

Highlights

  • The standard finance theories and models such as efficient market hypothesis (EMH) of Fama (1970), portfolio theory of Markowitz (1952), capital assets pricing model of Sharpe (1964), Lintner (1965) and Black (1972) assume that investors are rational so that they make decisions to maximize their expected utility

  • The new conceptual framework: An overview we present an overview for the understanding of the nature and the extent of learning predicted by our model in the context of stock trading

  • This paper proposes a conceptual framework to improve the understanding of the learning behavior of a retail investor in the context of stock trading

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Summary

Introduction

The standard finance theories and models such as efficient market hypothesis (EMH) of Fama (1970), portfolio theory of Markowitz (1952), capital assets pricing model of Sharpe (1964), Lintner (1965) and Black (1972) assume that investors are rational so that they make decisions to maximize their expected utility. The AMH predicts that market participants are capable of learning their mistakes for adapting to dynamic market conditions over time When they are adaptive, stocks are expected to be priced rationally so that the market can be assumed to be approaching to its efficiency status (Lo, 2012; Manahov & Hudson, 2014). The framework will promote empirical research on the AMH to support for its prediction that market participants are capable of learning their irrational behaviors for adapting to market environment It inspires primary data-based behavioral finance research which is limitedly available, especially in the context of emerging stock markets (Kumar & Goyal, 2015).

The new conceptual framework
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