The Impact of Anchoring Bias and Disposition Effect on Momentum Profit: The Role of Stock Liquidity

F. Soltani, A. Soroushyar, Masoud Fooladi
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Abstract

Researchers examined anomalies in the market to understand the market dimensions. Prior studies considered the effects of biases on momentum strategy. Stock liquidity as one of the risk factors for assets was also considered by researchers. The purpose of this study is to examine the role of stock liquidity in the separately and jointly effect of anchoring bias and the disposition effect on momentum profit. The population of this study consists of all companies listed on the Tehran Stock Exchange. Based on systematic election sampling this study covers 136 companies over the period of 20072020. In this study, the effect of disposition effect is calculated using the approach of Greenblatt and Han (2005) and Frazzini (2006) and the anchorage bias is calculated according to George and Hwang (2004). This study calculates 84 Iranian Journal of Finance, 2021, Vol. 6, No. 1 (Soltani, F.) momentum profits according to Jegadeesh and Titman (1993). To test the hypotheses, multivariate regressions and the five-factor model of Fama and French (2015) have been used. The results of this study show that the disposition effect in stocks with low liquidity increases momentum profit. In addition, anchoring bias in stocks with low liquidity leads to an increase the momentum profit. Findings of this study document that the interaction effect of anchoring bias and disposition effect, while reinforcing each other, is also associated with increasing in momentum profit. Finally, when anchoring bias and disposition effect reinforce each other, and stocks have low liquidity, they do not increase momentum profits.
锚定偏差和配置效应对动量利润的影响:股票流动性的作用
研究人员检查了市场中的异常现象,以了解市场规模。先前的研究考虑了偏差对动量策略的影响。股票流动性作为资产的风险因素之一也被研究者们所考虑。本研究旨在探讨股票流动性在锚定偏差和处置效应对动量利润的单独效应和共同效应中的作用。本研究的人口包括在德黑兰证券交易所上市的所有公司。基于系统的选举抽样,本研究涵盖了2007年至2020年期间的136家公司。本研究采用Greenblatt and Han(2005)和Frazzini(2006)的方法计算处置效应的效应,采用George and Hwang(2004)的方法计算锚定偏差。本研究根据Jegadeesh and Titman(1993)计算了84 Iranian Journal of Finance, 2021, Vol. 6, No. 1 (Soltani, F.)动量利润。为了检验这些假设,我们使用了多变量回归和Fama and French(2015)的五因素模型。研究结果表明,低流动性股票的配置效应会增加动量利润。此外,低流动性股票的锚定偏差导致动量利润增加。本研究发现,锚定偏见与处置效应的交互作用,在相互强化的同时,也与动量利润的增加有关。最后,当锚定偏差和处置效应相互强化,股票流动性较低时,它们不会增加动量利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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