Analysis of Investor Overreaction Effect and Random Walk: A Case Study of Pakistan Stock Exchange

S. Réhman, Bahrawar Said
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Abstract

Research in behavioral finance put forward that in violation of Bayes’ theorem rule and involving in Noise trading, majority of the investors in stock market tend to underreact or overreact to unanticipated bad and good news. One of the investor anomalies “Overreaction effect” in 30 firms listed in Pakistan Stock Exchange has been investigated in this study with the help of the portfolios of Loser and Winner Average Cumulative Abnormal Return’s. Moreover, the Random Walk is checked over the average prices of the same 30 firms listed in Pakistan stock market. This research of market efficiency took stocks data of randomly selected 30 firms listed in Pakistan Stock Exchange on weekly basis whether such investor’s anomalies affect stock prices. The result presents that there exist weak form of efficiency where the investor Overreaction present over many periods especially in global financial crises. Along with it, the Econometric test confirms the presence of Random Walk in the thirty firms of Pakistan stock market. Finally, the portfolios of loser Average Cumulative Abnormal Return’s outperformed that of portfolios of winner Average Cumulative Abnormal Return’s.
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投资者过度反应效应与随机游走分析——以巴基斯坦证券交易所为例
行为金融学的研究提出,在违反贝叶斯定理规则和涉及噪声交易的情况下,股票市场的大多数投资者对未预料到的坏消息和好消息往往反应不足或反应过度。本文利用输家和赢家平均累积异常收益组合对巴基斯坦证券交易所30家上市公司的投资者异常现象之一“过度反应效应”进行了研究。此外,随机漫步检查了在巴基斯坦股票市场上市的30家公司的平均价格。本市场效率研究随机选取30家在巴基斯坦证券交易所上市公司的股票数据,以周为单位,研究投资者的异常行为是否会影响股价。结果表明,在多个时期,特别是在全球金融危机期间,投资者的过度反应存在弱形式的效率。与此同时,计量经济学检验证实了巴基斯坦股票市场30家公司存在随机漫步。最后,输家平均累积异常收益组合优于赢家平均累积异常收益组合。
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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