Abnormal Trading Volumes around Large Stock Price Moves and Subsequent Price Dynamics

Pub Date : 2019-08-01 DOI:10.1561/105.00000109
A. Kudryavtsev
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Abstract

The study analyzes the correlation between abnormal trading volumes accompanying large stock price changes and subsequent stock price dynamics. Assuming that abnormal trading volume associated with a large price move may serve as an indication for the extent of the immediate stock price reaction to the underlying company-specific shock, I suggest that large price moves accompanied by relatively high (low) abnormal trading volumes may be followed by price reversals (drifts). Analyzing a large sample of major daily stock price moves and defining the latter according to a number of alternative proxies, I document that both large price increases and decreases accompanied by high (low) abnormal trading volumes are followed by significant price reversals (drifts) on each of the next two trading days and over five- and twenty-day intervals following the initial price move, the magnitude of the reversals (drifts) increasing over longer post-event windows. The effect remains significant after accounting for additional companyspecific (size, CAPM beta, historical volatility) and event-specific (stock’s absolute return on the event day) factors, and is robust to different methods of calculating abnormal returns and to different sample filtering criteria.
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股票价格大变动和随后的价格动态的异常交易量
本研究分析了伴随股价大幅变动的异常交易量与随后的股价动态之间的相关性。假设与价格大幅波动相关的异常交易量可以作为股票价格对潜在公司特定冲击的即时反应程度的指标,我认为,价格大幅波动伴随着相对较高(较低)的异常交易量可能会伴随着价格逆转(漂移)。分析了主要每日股票价格波动的大量样本,并根据许多替代代理定义后者,我证明,在接下来的两个交易日和初始价格波动后的5天和20天间隔内,伴随着高(低)异常交易量的大幅价格上涨和下跌都伴随着显著的价格反转(漂移),反转(漂移)的幅度在更长的事件后窗口中增加。在考虑了其他公司特定因素(规模、CAPM beta、历史波动率)和事件特定因素(股票在事件当天的绝对回报)后,该效应仍然显著,并且对不同的异常回报计算方法和不同的样本过滤标准具有鲁棒性。
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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