How do shares prices react after a very large fall or rise in prices on one day? Do prices reverse some or all of the change quickly? Most of the academic papers on large one-day price changes address the issue of whether price reversals do occur and, if they do, the extent and duration of the reversal and in what circumstances they happen.
This article presents a brief review and listing of academic papers on large one-day price moves.
In 1985 De Bondt and Thaler (1985) proposed the overreaction hypothesis, which states that most people overreact to unexpected and dramatic news events. With respect to stocks, this overreaction can cause large one-day changes in share prices, which are then followed by a reversal.
Atkins and Edward A. Dyl (1990) found that after large one-day price changes, especially in the case of declines, the market reversed quickly, but the widening of the bid-ask spread made it difficult to exploit this. A little later Turner and Weigel (1992) found no evidence of short-term market reversals after large one-day price moves. This was followed a couple of years afterwards by the, so far, most cited work on the topic Cox and Peterson (1994), which argued that any observed short-term price reversals were due to changes in the bid-ask spread. They further observed that shares with large falls continue to perform badly beyond the short-term. In other words, the overreaction hypothesis doesn’t hold.
This was largely supported by Park (1995) a year later, who found that price reversals disappeared on the following day if the average of the bid-ask prices was used. After the following day, however, the paper did find systematic abnormal reversal returns. Wong (1997) found that prices tend to rise after large one-day advances and fall after large one-day declines (i.e. no reversals), which supported Cox and Peterson (1994) and not De Bondt and Thaler (1985).
From 2001, some papers started taking a more nuanced view of this by analysing the type of news that had caused the large price move. Pritamania and Singal (2001) found that if the news relates to earnings or analyst recommendations then the 20-day abnormal returns become much larger ranging from 3% to 4% for positive events and about -2.25% for negative events. This trend of analysis was continued by Larson and Jeff Madura (2003), who found that there was overreaction to strong price rises in the absence of news (defined as news appearing in the WSJ), but no overreaction to price rises accompanied by news.
Fehle and Zdorovtsov (2003), cut straight to the chase to analyse whether money could be made in the case of large one-day declines. They found that stocks did overreact in this situation, that the subsequent reversals could be profitably traded and that trading profits were correlated with the size of the fall. Further, following on from the above, they found that the reversals were greater for those stocks with no concurrent associated news. This was consistent with Daniel, Hirshleifer and Subrahmanyam (1998) and Hong and Stein (1999).
Sturm (2003) focused on the asymmetry of reactions: finding that large price decreases are followed by positive returns (i.e. reversal), but large price increases do not drive positive or negative abnormal returns. Ma, Tang and Hasan (2005) found a difference in behaviour between markets with strong evidence of price overreactions for Nasdaq stocks but not NYSE. This was followed by Zawadowskia, Andor and Kertész (2006) who did find significant reversal behaviour but that, while widened bid-ask spread for NYSE stocks eliminated profit potential, this was not the case for Nasdaq stocks where the bid-ask spread was unchanged offering the potential for significant short-term profits.
With respect to the UK market, Mazouz, Joseph and Joulmer (2009) found continuation, rather than reversal, behaviour after large moves. And then Gu (2013) found that the market does usually reverse its direction in the day after the large move.
INDEX (of papers listed below)
[Papers listed in reverse date order; ♠ indicates major paper.]
- Predictability of Big Day and Profitability Thereafter 
- Abnormal stock returns, for the event firm and its rivals, following the event firm’s large one-day stock price drop 
- Stock price reaction following large one-day price changes: UK evidence 
- Is reversal of large stock-price declines caused by overreaction or information asymmetry: Evidence from stock and option markets 
- Short-term market reaction after extreme price changes of liquid stocks 
- The Stock Price Overreaction Effect: Evidence on Nasdaq Stocks 
- What Drives Stock Price Behavior Following Extreme One-Day Returns  ♠
- Investor Confidence and Returns Following Large One-Day Price Changes 
- Large Price Declines, News, Liquidity, and Trading Strategies: An Intraday Analysis 
- Return predictability following large price changes and information releases  ♠
- A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets 
- Investor Psychology and Security Market Under- and Overreactions 
- Abnormal Stock Returns Following Large One-day Advances and Declines: Evidence from Asia-Pacific Markets 
- A Market Microstructure Explanation for Predictable Variations in Stock Returns following Large Price Changes  ♠
- The Influence of Organized Options Trading on Stock Price Behavior following Large One-Day Stock Price Declines 
- Stock Returns following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance  ♠
- Daily Stock Market Volatility: 1928–1989 
- The Reversal of Large Stock-Price Decreases  ♠
- Price Reversals, Bid-Ask Spreads, and Market Efficiency  ♠
- Further Evidence on Investor Overreaction and Stock Market Seasonality  ♠
- Does the Stock Market Overreact?  ♠
Predictability of Big Day and Profitability Thereafter
Authors [Year]: Anthony Yanxiang Gu 
Journal [Citations]: Journal of Accounting and Finance , 13(5), pp63-73
Abstract: Significantly higher volume in a few day window combined with significantly higher opening may signal a big up day. Negative relationships between return and volume over a three-day window may signal the danger of a big down day. Opening prices of all the big down days are significantly higher than the day’s low and close, and opening prices of all the big up days are significantly lower than the day’s high and close. The market usually reverses its direction in the day after the big day. A strategy is developed for excess returns.
Abnormal stock returns, for the event firm and its rivals, following the event firm’s large one-day stock price drop
Authors [Year]: Susana Yu and Dean Leistikow 
Journal [Citations]: Managerial Finance, 37(2), pp151 – 172 
Abstract: The purpose of this paper is to examine intra-industry contagion and the following apparent violations of the efficient market hypothesis around large one-day price decline events in individual stocks. On average, after an event, the event stock experiences a positive three-day AR (S&P 600 stocks) followed by a 17-day negative AR (both S&P 500 and 600 stocks). Moreover, for that 17-day period: the rivals’ stocks outperform the event firms’ stocks and the event firms’ returns are statistically significantly related to prior variables. The paper also finds statistically significant relationships between the prior variables and the rivals’ post-event stock returns. It provides an intra-industry effects explanation for these results.
Stock price reaction following large one-day price changes: UK evidence
Authors [Year]: Khelifa Mazouz, Nathan L. Joseph and Joulmer Joulmer 
Journal [Citations]: Journal of Banking & Finance, 33(8), pp1481–1493 
Abstract: We examine the short-term price reaction of 424 UK stocks to large one-day price changes. Using the GJR-GARCH(1,1), we find no statistical difference amongst the cumulative abnormal returns (CARs) of the Single Index, the Fama–French and the Carhart–Fama–French models. Shocks ⩾5% are followed by a significant one-day CAR of 1% for all the models. Whilst shocs >5% are followed by a significant one-day CAR of −0.43% for the Single Index, the CARs are around −0.34% for the other two models. Positive shocks of all sizes and negative shocks <5% are followed by return continuations, whilst the market is efficient following larger negative shocks. The price reaction to shocks is unaffected when we estimate the CARs using the conditional covariances of the pricing variables.
Is reversal of large stock-price declines caused by overreaction or information asymmetry: Evidence from stock and option markets
Authors [Year]: Hyung-Suk Choi and Narayanan Jayaraman 
Journal [Citations]: Journal of Futures Markets, 29(4), pp348–376 
Abstract: The role of option markets is reexamined in the reversal process of stock prices following stock price declines of 10% or more. A matched pair of optionable and nonoptionable firms is randomly selected when their price declines by 10% or more on the same date. The authors examine the 1,443 and 1,018 matched pairs of New York Stock Exchange/American Stock Exchange (AMEX) and National Association of Securities Dealers Automated Quotations firms over the period from 1996 to 2004. It was found that the positive rebounds for nonoptionable firms are caused by an abnormal increase in bid–ask spread on and before the large price decline date. On the other hand, the bid–ask spreads for optionable firms decrease on and before the large price decline date. An abnormal increase in the open interest and volume in the option market on and before the large price decline date was also found. Overall, the results suggest that the stock-price reversal neither is a result of overreaction nor can it be simply explained by the bid–ask bounce.
Short-term market reaction after extreme price changes of liquid stocks
Authors [Year]: Ádám G. Zawadowskia, György Andor and János Kertész 
Journal [Citations]: Quantitative Finance, 6(4), pp283-295 
Abstract: In our empirical study we examine the dynamics of the price evolution of liquid stocks after experiencing a large intra-day price change, using data from the NYSE and the NASDAQ. We find a significant reversal for both intra-day price decreases and increases. Volatility, volume and, in the case of the NYSE, the bid–ask spread, which increase sharply at the event, stay significantly high days afterwards. The decay of the volatility follows a power law in accordance with the `Omori law’. While on the NYSE the large widening of the bid–ask spread eliminates most of the profits that can be achieved by an outside investor, on the NASDAQ the bid–ask spread stays almost constant, yielding significant short-term profits. The results thus give an insight into the size and speed of the realization of an excess return for providing liquidity in a turbulent market.
The Stock Price Overreaction Effect: Evidence on Nasdaq Stocks
Authors [Year]: Yulong Ma, Alex P. Tang and Tanweer Hasan 
Journal [Citations]: Quarterly Journal of Business & Economics, 44(3/4), pp113-127 
Abstract: We empirically investigate the market overreaction effect of the stocks with the largest daily percentage increases or decreases in price reported in The Wall Street Journal between January 1996 and December 1997. We select 852 stocks for the NYSE and Nasdaq samples of gainers and losers. We find strong evidence of stock price overreaction effects for both the Nasdaq gainers and losers samples but no such evidence for either the NYSE samples. The reversal of stock returns occurs within a two-day post-event period. Regression analysis shows that the stock price reversal is inversely related to the price gains or losses controlling for the size of Nasdaq firms.
What Drives Stock Price Behavior Following Extreme One-Day Returns ♠
Authors [Year]: Stephen J. Larson and Jeff Madura 
Journal [Citations]: Journal of Financial Research, 26(1), pp113–127 
Abstract: We identify samples of losers and winners by selecting daily stock price returns in excess of 10% (sign ignored) and determine whether these samples over- or underreact. We then identify “informed” events, which correspond to announcements in the Wall Street Journal(WSJ), and “uninformed” events, which are not explained in the WSJ. For winners, there is overreaction in response to uninformed events but no overreaction on average in response to informed events. This finding suggests the degree of overreaction to new information depends on whether the cause of the extreme stock price change is publicly released.
Investor Confidence and Returns Following Large One-Day Price Changes
Authors [Year]: Ray R. Sturm 
Journal [Citations]: Journal of Behavioral Finance, 4(4), pp201-216 
Abstract: I hypothesize that post-event price behavior following large one-day price shocks is related to pre-event price and firm fundamental characteristics, and that these characteristics proxy for investor confidence. Several behavioral theories suggest how investors form their expectations, and I suggest four investor confidence hypotheses based on these theories. In addition to documenting further evidence of investor overreaction, my findings indicate that investors respond differently to negative price shocks than to positive price shocks. In particular, large price decreases generally drive positive post-event abnormal returns, while large price increases do not drive positive or negative abnormal returns. However, my main finding is that this relationship is altered when pre-event return and firm characteristics are introduced. This suggests that certain pre-event characteristics influence investor confidence, which in turn influences buying and selling decisions and thereby drives post-event returns. However, investor confidence appears to be lessened by a price shock effect.
Large Price Declines, News, Liquidity, and Trading Strategies: An Intraday Analysis
Authors [Year]: Frank Fehle and Volodymyr M. Zdorovtsov 
Journal [Citations]: University of South Carolina Working Paper, 
Abstract: This paper examines whether trading strategies based on short-term price reversals following large one-day losses have economically significant returns. We directly incorporate transactions costs by basing returns on the contemporaneous bid and ask quotes and jointly examine the effects of overreaction, liquidity pressure, and public information flow measures. Consistent with the overreaction hypothesis, trading strategy returns increase in the magnitude of event day loss. Consistent with behavioral models, the reversals are higher for event stocks without concurrent news releases. The evidence is generally supportive of the liquidity pressure hypothesis. The analysis suggests refined trading strategies yielding economically significant positive returns. The results are robust to a number of alternative tests.
Return predictability following large price changes and information releases ♠
Authors [Year]: Mahesh Pritamania and Vijay Singal 
Journal [Citations]: Journal of Banking & Finance, 25(4), pp631–656 
Abstract: We examine return behavior following large price change events. Unconditional post-event abnormal returns are found to be unimportant. As we condition on other criteria related to the quality of information like volume and public announcements, the abnormal returns become large. The type of news provides further refinement. If the news relates to earnings or analyst recommendations then the 20-day abnormal returns become much larger ranging from 3% to 4% for positive events and about −2.25% for negative events. Finally, an out-of-sample trading strategy confirms investor under-reaction and generates significant abnormal annualized returns of the order of 12–18%.
A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets
Authors [Year]: Hong, Harrison and Jeremy C. Stein 
Journal [Citations]: The Journal of Finance, 54(6), pp2143–2184 
Abstract: We model a market populated by two groups of boundedly rational agents: “newswatchers” and “momentum traders.” Each newswatcher observes some private information, but fails to extract other newswatchers’ information from prices. If information diffuses gradually across the population, prices underreact in the short run. The underreaction means that the momentum traders can profit by trend-chasing. However, if they can only implement simple (i.e., univariate) strategies, their attempts at arbitrage must inevitably lead to overreaction at long horizons. In addition to providing a unified account of under- and overreactions, the model generates several other distinctive implications.
Investor Psychology and Security Market Under- and Overreactions
Authors [Year]: Kent Daniel and David Hirshleifer and Avanidhar Subrahmanyam 
Journal [Citations]: The Journal of Finance, 53(6), pp1839–1885 
Abstract: We propose a theory of securities market under- and overreactions based on two well-known psychological biases: investor overconfidence about the precision of private information; and biased self-attribution, which causes asymmetric shifts in investors’ confidence as a function of their investment outcomes. We show that overconfidence implies negative long-lag autocorrelations, excess volatility, and, when managerial actions are correlated with stock mispricing, public-event-based return predictability. Biased self-attribution adds positive short-lag autocorrelations (“momentum”), short-run earnings “drift,” but negative correlation between future returns and long-term past stock market and accounting performance. The theory also offers several untested implications and implications for corporate financial policy.
Abnormal Stock Returns Following Large One-day Advances and Declines: Evidence from Asia-Pacific Markets
Authors [Year]: Michael C.S. Wong 
Journal [Citations]: Financial Engineering and the Japanese Markets, 4(2), pp171-177
Abstract: This paper documents significant 5-day, 10-day and 20-day cumulative abnormal returns following large one-day advances/declines in some Asian emerging stock markets, such as Hong Kong, Taiwan, Singapore, Thailand, Australia and Philippines. Stock prices tend to rise after large one-day advances and fall after large one-day declines. These findings are inconsistent with DeBondt and Thaler’s (1985 and 1987) overreaction hypothesis. However, they are consistent with Cox and Peterson’s (194) find that prices of longer term (5 to 20 days) tend to decline following large price declines.
A Market Microstructure Explanation for Predictable Variations in Stock Returns following Large Price Changes ♠
Authors [Year]: Jinwoo Park 
Journal [Citations]: Journal of Financial and Quantitative Analysis, 30(2), pp241-256 
Abstract: Prior empirical evidence of predictable variations in stock returns following large price changes is found to be, at least in part, driven by the sample selection bias arising from the systematic movement of closing transaction prices within the bid-ask spread. By using the average of the bid-ask prices in the sample selection process, the price reversal on the day following the events (day +1) disappears. For a short-run period after day +1, however, systematic abnormal return patterns are still observed. These short-run price reversals persist even after controlling for the influence of systematic trading patterns around the events. However, investigation of contrarian investment profits from these short-run price reversals shows that the average abnormal returns are not large enough to cover the transaction price movement between the bid and ask prices.
The Influence of Organized Options Trading on Stock Price Behavior following Large One-Day Stock Price Declines
Authors [Year]: David R Peterson 
Journal [Citations]: Journal of Financial Research, 18(1), pp33-44 
Abstract: In this study I examine the effect of organized options trading on stock price behavior immediately following stock price declines of 10 percent or more. A matched-pair sample of National Market System option and nonoption firms are analyzed from June 1985 through December 1992. After controlling for the bid-ask bounce, firm size, share price, return standard deviation, and beta, I find that three-day cumulative abnormal returns for option firms are approximately 1.57 percent less than those for nonoption firms. Thus, options trading enhances stock market efficiency and/or liquidity. However, no profitable trading strategies are indicated.
Stock Returns following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance ♠
Authors [Year]: Don R. Cox and David R. Peterson 
Journal [Citations]: The Journal of Finance, 49(1), pp255–267 
Abstract: We examine stock returns following large one-day price declines and find that the bid-ask bounce and the degree of market liquidity explain short-term price reversals. Further, we do not find evidence consistent with the overreaction hypothesis. We observe that securities with large one-day price declines perform poorly over an extended time horizon.
Daily Stock Market Volatility: 1928–1989
Authors [Year]: Andrew L. Turner and Eric J. Weigel 
Journal [Citations]: Management Science, 38(11), pp1586-1609 
Abstract: This paper examines the daily return variability of the S&P 500 and the Dow Jones indices over the 1928–1989 period. We use the traditional close-to-close standard deviation of returns, two alternative estimators incorporating the daily high and low of the index, and a robust estimator to measure the volatility of stock index returns. The 1980s were the third most volatile decade behind the 1920s and 30s. To a large extent, this was caused by the anomalous behavior of the fourth quarter of 1987. Returns in the 1980s had far more skewness and kurtosis than in any other decade studied; these results were not entirely due to 1987, as returns in 1988 and 1989 had large measures of both skewness and kurtosis. The frequency of extreme-return events increased in the 1980s, but was still dramatically less than the 1920s and 30s. When extreme negative days occurred in the 1980s the losses tended to be more severe than in the previous four decades. Extreme-return days are preceded by significant losses and are intertemporally clustered. There is no evidence of short-term market reversals after either positive or negative jumps in stock index returns.
The Reversal of Large Stock-Price Decreases ♠
Authors [Year]: Marc Bremer and Richard J. Sweeney 
Journal [Citations]: The Journal of Finance, 46(2), pp747–754 
Abstract: Extremely large negative 10-day rates of return are followed on average by larger-than-expected positive rates of return over following days. This price adjustment lasts approximately 2 days and is observed in a sample of firms that is largely devoid of methodological problems that might explain the reversal phenomenon. While perhaps not representing abnormal profit opportunities, these reversals present a puzzle as to the length of the price adjustment period. Such a slow recovery is inconsistent with the notion that market prices quickly reflect relevant information.
Price Reversals, Bid-Ask Spreads, and Market Efficiency ♠
Authors [Year]: Allen B. Atkins and Edward A. Dyl 
Journal [Citations]: Journal of Financial and Quantitative Analysis, 25(4), pp535-547 
Abstract: We examine the behavior of common stock prices after a large change in price occurs during a single trading day and find evidence that the stock market appears to have overreacted, especially in the case of price declines; however, the magnitude of the overreaction is small compared to the bid-ask spreads observed for the individual stocks in the sample. We interpret this finding as being consistent with a market that is efficient after transactions costs are considered.
Further Evidence on Investor Overreaction and Stock Market Seasonality ♠
Authors [Year]: Werner F. M. De Bondt and Richard Thaler 
Journal [Citations]: The Journal of Finance, 42(3), pp557-581 
Abstract: In a previous paper, we found systematic price reversals for stocks that experience extreme long-term gains or losses: Past losers significantly outperform past winners. We interpreted this ﬁnding as consistent with the behavioral hypothesis of investor overreaction. In this follow-up paper, additional evidence is reported that supports the overreaction hypothesis and that is inconsistent with two alternative hypotheses based on firm size and differences in risk, as measured by CAPM-betas. The seasonal pattern of returns is also examined. Excess returns in January are related to both short-term and long-term past performance, as well as to the previous year market return.
Does the Stock Market Overreact? ♠
Authors [Year]: Werner F. M. De Bondt and Richard Thaler 
Journal [Citations]: The Journal of Finance, 40(3), pp793–805 
Abstract: Research in experimental psychology suggests that, in violation of Bayes’ rule, most people tend to “overreact” to unexpected and dramatic news events. This study of market efficiency investigates whether such behavior affects stock prices. The empirical evidence, based on CRSP monthly return data, is consistent with the overreaction hypothesis. Substantial weak form market inefficiencies are discovered. The results also shed new light on the January returns earned by prior “winners” and “losers.” Portfolios of losers experience exceptionally large January returns as late as five years after portfolio formation.
Other paper reviews.