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Overconfidence Bias: Empirical Examination of Trading Turnover and Market Returns


Article Information

Title: Overconfidence Bias: Empirical Examination of Trading Turnover and Market Returns

Authors: Syeda Faiza Urooj, Nosheen Zafar, Muzammil Illyas Sindhu

Journal: Global Social Sciences Review (GSSR)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
Y 2020-07-01 2021-06-30

Publisher: Humanity Publications

Country: Pakistan

Year: 2019

Volume: 4

Issue: 2

Language: English

DOI: 10.31703/gssr.2019(iv-ii).50

Categories

Abstract

<jats:p>Theory of overconfidence states that investors are highly overconfident when valuing the stocks. Self-attribution has been found by the researchers as the root cause for overconfidence bias in investors. Investors attribute the high stock prices and returns with their own art of picking up the stocks, and thus they trade more frequently. In order to test overconfidence and self-attribution Vector Autoregressive (VAR) model has been employed to find out the long-term relationship between endogenous variables: market return and market turnover and exogenous variables: volatility and dispersion. Results revealed that there exists a strong positive relationship between market returns and trading turnover. Also, the crosssectional standard deviation in market prices i-e volatility and the cross-sectional variation in stock returns i-e dispersion has a very strong impact on trading pattern and returns. Since investment decisions made by Pakistani investor largely depend upon psychological factors, giving less weightage to all the fundamentals, the trading pattern exhibited may collectively tend the market behave in an irrational manner.</jats:p>


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