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The purpose of the study is to examine overreaction effect in the Chinese stock market after the global financial crisis (GFC) of 2007 for all the stocks listed in Shanghai Stock Exchange (SSE) Composite 50 index.

To capture overreaction effect in the stock listed at SSE 50 Index, a time series analysis of average cumulative abnormal return within a unified framework is applied for the period of January 2009 to December 2015. From these loser and winner portfolios, contrarian strategy is applied to build arbitrage portfolio, which is the difference of mean reversions between loser and winner portfolios. The portfolio construction is based on a 12-month formation period and 6-month testing period for intermediate-term analysis and. for short-term analysis, 6 month formation and 3 month testing periods. The authors also applied regression analysis to test a return reversal effect for the sampled period.

Results show that contrarian strategy yields positive excess returns for the arbitrage portfolio for most of the testing periods. The intermediate baseline case shows the arbitrage portfolio producing an average excess return of 14.1%, while even the short-term one produces 4%, which is statistically significant at the 5% level. The study finds asymmetrical overreactions in the SSE especially for loser portfolios. The biggest winner and loser portfolios follow the mean reversal effect. Moreover, before-after test for the biggest winner and loser portfolios shows that the losers recovered and beat the market immediately.

The study could benefit government, policy makers and regulators by studying how presence of more individual investors than institutional investors of China stock market leads to more irrational decisions giving rise to volatility. The regulators could build favourable policies for institutional investors to give them incentive to invest more than individual investors through which market volatility could be controlled.

This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. The authors provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.

This research contributes to market behaviour research, showing how working under hypotheses of overreaction; gains can be made with contrarian investment strategy through arbitrage portfolios. We provide specific additional support for the short and medium-term overreaction in the SSE for the period 2009–2015 using regression analysis.

This study disentangles the investor-base effect and the information effect of investor attention. The former leads to a larger investor base and higher stock returns, while the latter facilitates the dissemination of information among investors and impacts informational trading.

Using positive volume shocks as a proxy for increased investor attention, this study evaluates the impacts of the investor-base effect and the information effect of investor attention on market correction following extreme daily returns in the US stock market from 1966 to 2018.

This study finds that the investor-base effect increases subsequent returns of both daily winner and daily loser stocks. The information effect leads to economically less significant return reversals for both the daily winner and daily loser stocks. These two effects tend to have economically more significant impacts on the daily loser stocks. The economic significance of these two effects is also related to firm size and the state of the stock market.

This study is the first to disentangle the investor-base effect and the information effect of increased investor attention. The evidence that the information effect facilitates the dissemination of new information and impacts stock returns contributes to the strand of studies on the impact of investor attention on market efficiency. This evidence also contributes to the strand of studies analyzing the impact of informational trading on stock returns. In addition, this study provides evidence for market overreaction and the subsequent correction. The results for up and down markets contribute to the literature on the investors' trading behavior.

The purpose of this paper is to assess the performance of a contrarian investment strategy focusing on frequently traded large-cap US stocks. Previous criticisms that losers’ gains are not due to overreaction but due to their tendency to be thinly traded and smaller-sized firms than winners are addressed.

Portfolios based on past performance are constructed and it is examined whether contrarian returns exist. The Capital Asset Pricing Model (CAPM), Fama and French three-factor model and the Carhart’s (1997) momentum portfolio are used to test whether excess returns are feasible in a contrarian strategy.

The results show an asymmetric performance following portfolio formation. Although both, winners and losers portfolios, have gains during holding periods, losers outperform winners at all times, and with a differential of up to 29.2 per cent 36 months after portfolio formation. Furthermore, the loser and the winner portfolios’ alphas are significant, suggesting that the CAPM and the multifactor models are unable to explain return differentials between winners and losers. Our evidence supports two main conclusions. First, stock market overreaction still holds for a sample of large firms. Second, this is robust to the Fama and French’s (1993, 1996) three-factor model and Carhart’s (1997) momentum portfolio. Findings emphasize the relevance of a contrarian strategy when rebalancing investment portfolios.

Portfolio managers can improve stock returns by selling past winners and buying previous loser large-cap US stocks.

This paper is the first, to the authors’ knowledge, to examine frequently traded large-cap US stocks to avoid infrequent trading and size concerns.

This paper demonstrates how economic field experiments may offer researchers a method to quickly assess policy outcomes that otherwise are difficult to measure. We compare lottery winners to losers of a privately run educational voucher program to measure the program’s effect on confidence. We measure confidence on academic ability using protocols developed to assess the educational program. We find that confidence does not differ robustly between winners and losers. Among non African-Americans, however, winners were significantly less overconfident than losers in predicting their academic achievement test scores. We also find older children are significantly more confident in their abilities.

The purpose of this paper is to examine the profitability of return‐based investment strategies in the New Zealand stock market; 16 such strategies are examined for the period from January 1995 to December 2004.

The paper shows that, at the end of each month of the sample period, every security is ranked in ascending order using their past J‐month formation period cumulative return (J=3, 6, 9 and 12). Then these securities are allocated to three groups; group 1 represents the loser portfolio, while group 3 represents the winner portfolio. Finally, equally weighted average returns of winner and loser portfolios are calculated over the next K‐month holding period (K=3, 6, 9, and 12). The statistical significance of the returns earned from buying winners and shorting losers is tested in order to determine the profitability of proposed strategies.

The findings in this paper show that a strong momentum effect, rather than a reversal effect, is present in this market. For example, the strategy, which is based on a six‐month portfolio formation period and a six‐month holding period, generates a monthly return of 1.14 per cent. These strategies are most profitable when they are based on formation and holding periods of three‐to‐six months. Further analyses reveal that the profits generated by such investment strategies cannot be explained by either the small firm effect or the January effect.

The main implication of this paper shows that buying past winners and selling past losers is profitable in the short to medium run in New Zealand.

This study aims to examine whether mutual funds can earn daily alpha and time daily market return.

Based on the Treynor and Mazuy (1966) model and the Henriksson and Merton (1981) model, the author tests the daily market-timing ability of actual mutual funds and bootstrapped mutual funds.

The author finds that daily alpha and daily market-timing ability can come from pure luck. In addition, the relation between fund alpha and market-timing ability is at best minimal.

Using bootstrapped funds as the benchmark, this study shows that daily fund market is overall efficient.

Investors in Hong Kong tend to overreact to good news but not to bad news in the short run. ‘Winner’ stock portfolios making abnormal gains on the event day tend to make abnormal losses in the subsequent test period. On the contrary, abnormal losses persist in the test period for the loser stock portfolios. This may be attributable to the speculative nature of the Hong Kong market and thin trading of small‐sized stocks. Some evidence of small firm effect is found in this study, but price overreactions are more apparent with large size portfolios. Apart from size, asymmetrical investors' response to good news and bad news also drives stock prices to behave differently after experiencing abnormal gains or losses. For winner stocks, larger abnormal gains on day 0 are followed by larger abnormal losses in the subsequent 10‐day period. Whereas for loser stocks, larger abnormal losses are followed by larger but further losses in the test period. Last but not least, symptoms of weekly price seasonally are found amongst the abnormal return patterns in this study.

Ever since the publication of the original Jegadeesh and Titman (1993) study, momentum effect has been tested vigorously to validate its pervasiveness for different time periods and across different markets. In spite of numerous out-of-sample tests, there is one apparent alibi – little research has been devised for steady increasing of Shari’ah compliant stocks.

This study is to examine the momentum strategy returns in a global Shari’ah compliant stock setting.

It finds strong presence of stock momentum returns for Pakistan and Malaysia. And the momentum returns are neither driven by industry momentum nor by the small size stocks. Though no momentum profits are found for the portfolios formed by global Shari’ah compliant stocks, this seems to be largely due to return reversal for the small size Shari’ah compliant stocks.

The strong presence of momentum profits for relatively large Shari’ah compliant stocks is a desirable trait as it indicates that the momentum trading strategies are practical and implementable.

This paper aims to introduce a new perspective on long-term stock return predictability by focusing on the relative (individual and hybrid) informative power of a wide range of accounting (firm-related), technical and macroeconomic factors while considering the past performance of the stocks using machine learning algorithms.

The sample includes a panel data set of 94 non-financial firms listed in Egyptian Exchange 100 index from 2014: Q1 to 2019: Q4. Relativity has been investigated by comparing relevant factors’ individual and combined informative power and differentiating between losers and winners based on historical stock returns. To predict the quarterly stock returns, Gaussian process regression (GPR) has been used. The robustness of the results is examined through the out-of-sample test. This study also uses linear regression (LR) as a benchmark model.

The past performance and the presence of other predictors influence the informative power of relevant factors and hence their predictive ability. The out-of-sample results show a trade-off between GPR and LR with proven superiority to GPR in limited experiments. The individual informative power outperforms the hybrid power, in which macroeconomic indicators outperform the remaining sets of indicators for losers, while winners show mixed results in terms of various performance evaluation metrics. Prediction accuracy is generally higher for losers than for winners.

This study provides interesting insight into the dynamic nature of the predictor variables in terms of stock return predictability. Hence, this study also deepens the understanding of asset pricing in a way that directly contributes to practitioners’ portfolio diversification strategies.

In concern of the chaos of factors in the literature and its accompanying misleading conclusions, this study takes another look at the approach that studies stock return predictability. To the best of the authors’ knowledge, this is the first study in the Egyptian context that re-examines the predictive power of the previously discovered factors from a different perspective that highlights their relative nature.

This study examines the impact of firm-specific information and macroeconomic variables on market overreaction of US and Chinese winner and loser portfolio before and during COVID-19.

The firm-specific information includes firm size, volume, volatility, return of asset (ROA), return of equity (ROE), earning per share (EPS) and quick ratio while the macroeconomic variables are export rate, import rate, real GDP, nominal GDP, FDI, IPI and unemployment rate. Besides, one-third of the top performance stocks are categorized as winner portfolio while one-third of lowest performance stocks are categorized as loser portfolio. This study uses AECR to indicate stock return and measure market overreaction. GAECR is used to determine contrarian profit. The data range of pre-COVID-19 is from 1-Jan-2015 to 31-Dec-2019 while the period of COVID-19 is from 1-Jan-2020 to 31-Dec-2020.

In pre-COVID-19, firm-specific information (volatility, ROA, ROE and EPS) and macroeconomic variables are found to be correlated to stock return in US and Chinese portfolios except Chinese winner portfolio. Nonetheless, the impact of firm-specific information has vanished and macroeconomic variables are significant to stock return in COVID-19. It shows that investors rely on the economic indicators to trade in turbulent period due to emergence of COVID-19 as a disruption in market. Furthermore, US and Chinese portfolios are overreacted during COVID-19. Chinese loser portfolio has higher tendency of overreaction than US loser portfolio while US winner portfolio has higher tendency of overreaction than Chinese winner portfolio.

The results of this study assists academician, practitioners and investors on understanding and create awareness to the existence of market overreaction and the determinants that can cause the phenomenon.