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The purpose of this study is to analyze market inefficiencies in the market for cryptocurrencies by providing a comprehensive analysis of short-term (over)reactions that follow significant price changes of such currencies.

This study identifies and analyzes overreactions and mispricing in markets for cryptocurrencies by applying a broad set of thresholds that depend on market-specific dynamics and volatilities. This study also analyzes the returns on days following abnormal returns and identifies significant differences from normal returns using the t-test and the Mann–Whitney U-test. The researchers further complement the literature by using end-of-the-day returns in addition to high-low returns. Additionally, this study considers a broad sample of 50 cryptocurrencies for an expanded time span (2015–2020) that includes the big currencies as well as smaller currencies.

Findings detect the existence of overreactions and, thus, market inefficiencies in crypto markets. The findings for different methodological approaches are similar, which underpins the robustness of the findings. By considering a broad sample that includes small and big currencies, we can show the existence of a market size effect. By considering a broad set of thresholds, the authors further found evidence for a magnitude effect, which means that higher initial abnormal returns are related to higher inefficiencies.

This paper has practical implications. Market inefficiencies were detected, which can be used in practical trading to obtain excess returns. In fact, methodological approach of this study and its results can be used to derive a strategy for trading in cryptocurrencies that can be easily implemented. Based on the study’s findings, the authors can expect positive access returns by applying this trading strategy.

The authors complement the literature on market inefficiencies and mispricing in crypto markets by analyzing price patterns after initial abnormal returns. Researchers contribute by applying different methodological approaches in addition to the approaches used so far, by considering a set of different thresholds and by applying a much broader data set that enables the study to analyze additional aspects.

This paper explores abnormal price changes in the FOREX by using both daily and intraday data on the EURUSD, USDJPY, USDCAD, AUDUSD and EURJPY exchange rates over the period 01.01.2008–31.12.2018.

It applies a dynamic trigger approach to detect abnormal price changes and then various statistical methods, including cumulative abnormal returns analysis, to test the following hypotheses: the intraday behaviour of hourly returns on overreaction days is different from that on normal days (H1), there are detectable patterns in intraday price dynamics on days with abnormal price changes (H2) and on the following days (H3).

The results suggest that there are statistically significant differences between intraday dynamics on days with abnormal price changes and normal days respectively; also, prices tend to change in the direction of the abnormal change during that day, but move in the opposite direction on the following day. Finally, there exist trading strategies that generate abnormal profits by exploiting the detected anomalies, which can be seen as evidence of market inefficiency.

New evidence on abnormal price changes and related trading strategies in the FOREX.

The purpose of this paper is to examine whether internet search intensity, as captured by Google’s search volume index (SVI), predicts house price changes in an emerging market like India.

Using data on Google’s SVI for four Indian cities and their corresponding house price index values, the authors examine whether abnormal SVI (growth in search intensity normalized by the national average) impacts abnormal house prices (house price change normalized by the national average).

Like developed markets such as the USA, the authors find that internet search intensity strongly predicts future house price changes. A simple rebalancing strategy of buying a representative house in the city with the greatest change in search intensity and selling a representative house in the city with the smallest change in search intensity each quarter yields an annualized excess (over risk-free government T-bills) return of 4 percent.

Emerging markets have low internet penetration and high information asymmetry with a dominant unorganized real estate market. The results are interesting as it sheds light on the nature and role of the internet as an infomediary even in emerging markets

This study uses the unique setting of unusual market activity (UMA) replies to examine the market reaction and the effects of disclosure and investor protection amid information uncertainty.

A total of 1527 hand-collected UMA replies from the interlinked stock exchanges of Indonesia, Malaysia, Thailand and Singapore for the period of 2015–2017 were analysed using event study and Heckman two-step methods with market and matched control firm benchmarks.

The overall results support the uncertain information hypothesis. The UMA replies with new information were also found to reduce information uncertainty, but not information asymmetry, and they are complementary to investor protection in enhancing abnormal returns. The overall finding suggests that the UMA public query system can be an effective market intervention mechanism in improving information certainty and efficiency.

This study provides insight on the effects of news replies and investor protection on abnormal returns, and support for the uncertain information hypothesis. The finding is useful to policymakers and stock exchanges as they seek to understand how to alleviate investors' anxiety and to create an informationally efficient market. Nevertheless, this study is limited by the extensiveness of the hand-collected UMA replies and also the potential issue of simultaneity-induced endogeneity.

This study uses UMA replies and cross-country data taking into account the effects of market surroundings such as information uncertainty and the level of investor protection on market reaction.

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.

Prior research on additions to the S & P 500 and the smaller MidCap 400 and SmallCap 600 indexes reach different conclusions regarding the key variables that explain the cross-section of announcement period abnormal returns. Most notable in this regard is that liquidity measures, long thought to be of importance, do not appear to explain abnormal returns of the S & P 500 when other factors are controlled for. By contrast, they do appear to matter for additions to the smaller stock indexes. To explore this difference, the purpose of this paper is to analyze the abnormal returns upon announcement that a stock will be added to the Nasdaq-100 Index in a cross-sectional manner, controlling for several possible alternative factors.

This paper analyzes abnormal returns upon announcement that a stock will be added to the Nasdaq-100 Index. The authors consider several possible sources of the positive price effects in a multivariate setting that controls simultaneously for measures of liquidity, arbitrage risk, operating performance and investor interest and awareness. The authors then analyze both trading volume and the bid-ask spreads. The authors finally examine analyst and investor interest, focussing on changes in analyst coverage.

The authors find that only liquidity variables are significant, but that factors representing feedback effects on the firm’s operations and level of managerial effort are not. The authors find that the average bid/ask spreads of stocks added to the Nasdaq-100 index are lower after the addition. The authors also find that the number of analysts following a stock increases significantly after addition, verifying increased analyst interest. Both forms of evidence are consistent with the hypothesis that the additions are associated with enhanced liquidity for the stocks.

The authors conclude that what does happen to a Nasdaq stock when it is announced that it will be added to the Nasdaq-100 Index is that more analysts are drawn to it, and its market liquidity is enhanced. The authors conclude that what does not happen is that there is no evidence of significant effects of enhanced managerial effort or operating performance associated with the inclusion. This difference is noteworthy because it suggests that a certification effect of additions to the S & P indexes associated with S & P’s selection process are unique to it and do not apply to the Nasdaq-100 Index additions based on market cap alone. The results provide indirect evidence on the existence and significance of the certification effect associated with additions to the S & P indexes.

This study aims to explore information asymmetry (IA) (as measured by the adverse selection component of the bid-ask spread) around S&P 500 revisions.

The authors use adverse selection cost of trading measures to examine the effects of S&P 500 index composition changes on the trading environment from 2001 to 2010.

The authors find that the adverse selection cost of trading significantly decreases post-addition and increases post-deletion. However, the intraday price dynamics of additions to the index seem to be distinct from those of deletions from the index. The event period cumulative abnormal returns (CARs) for additions are significantly associated with the change in the adverse selection cost of trading. However, this association is non-significant for deletions. The CARs for deletion events are found to be significantly associated with the change in realized spreads. Realized spreads are a measure of revenue earned by liquidity providers in the market.

This study helps better understand the dynamics of two types of IA – one from a firm to investor and the other between investors – and presents evidence of the role of adverse selection in index changes. By doing so, it helps better understand the mechanism driving price formation post-addition to and deletion from an index.

The purpose of this paper is to examine the short horizon stock behavior following large price shocks in the Indian stock market.

The author followed the methodology developed by Pritamani and Singhal (2001) to the short horizon stock behavior following large price shocks. Multivariate regression has also been used to test the robustness of the evidenced results.

The abnormal return following large one-day price changes were not found to be important. However, large price one-day changes, conditioned with volume, evidenced significant reversals and momentum over the following 20-day period. Large price changes accompanied by low volume exhibited significant reversals and suggests significant economic profits. The large price changes accompanied by high volume exhibited continuations.

Large price changes accompanied by low volume exhibited significant reversals and suggested significant economic profits. The large price changes with high volume exhibited continuations. The contrarian strategy of buying low-volume one-day losers and selling one-day winners produced significant short horizon economic profits in the Indian stock market directly contradicting the efficient market hypothesis and has behavioral implications.

In this paper, the author has unearthed significant simple profitable trading strategies based on reversals and continuation following large one-day price changes with potential for significant economic profits.

This paper provides a practical framework for profitable trading strategies based on reversals and continuation following large one-day price changes with a potential for significant economic profits. The analysis of short horizon stock behavior following large price shocks conditional on volume based on the chosen methodology has not been attempted so far in the Indian stock market.

This study examines the influence of the ownership structure of banks on investors' behavior by dissecting the investors' response to news regarding performance indicators in private and government-owned banks.

The event study methodology is used for the analysis. The data for 35 banks (out of 38), listed on the National Stock Exchange (NSE) for a duration of 230 months (January 2001 to February 2020) is collected. A set of cross-sectional regression analyses is done to identify variables influencing the returns under differential circumstances.

Private banks seem to display a sharper response to negative changes in earnings, while government-owned banks show a more robust reaction to a positive change. The contrast is seen in the variables, having a bearing on the abnormal returns After controlling for a set of factors, the regression analysis shows the ownership structure may not matter on abnormal returns (on event day), the factors such as a change in quarterly earnings, firm-size and three-year average-sales growth influence the positive and negative changes in abnormal returns of government banks, and predictability for private banks is found to be poor regarding selected indicators.

The study evaluates the role of ownership structure on the heterogeneity in investors' responses to the financial performance of banks, thereby assisting in designing strategies to ensure the optimal outcome around the quarterly earnings announcements.

The aim of this paper is to investigate the impact of voluntary disclosure on information asymmetry between investors and the average information content of subsequent the earnings announcement.

The authors use empirical methodology relying on multiple regression analyses. The authors estimate models of trading volume and stock returns around the earnings’ release date as a function of voluntary disclosures, measured using information in the 8-K statements.

Voluntary disclosures prior to the earnings release date increase trading volume related to stock returns. In addition, voluntary disclosures also reduce stock price movement around that date.

The results indicate that voluntary disclosures increase trading volume related to stock returns around the earnings release date. Such increases indicate increased differential precision among investors, demonstrating that voluntary disclosures increase differences in opinion among investors. The reduced stock price movement around the earnings release date also show that voluntary disclosures reduce the information content of earnings. One limitation is that the measure of voluntary disclosures does not consider the variation in the information content of individual disclosures.

Firms who make voluntary disclosures will need to carefully consider how to structure such releases to minimize asymmetry between investors. Investors should pay greater attention to finding out, and interpreting, voluntary disclosures by firms.

Regulators have previously expressed concern about leveling the playing field between more and less informed investors. The results showing increased differences in information as a result of voluntary disclosures provide valuable insights as regulators debate the balance of mandated and voluntary disclosure.

This is the first study to investigate the effect of voluntary disclosures on information asymmetry among investors using trading volume and, consequently, the first to find increased differences among investors that result from those voluntary disclosures. The paper is also the first to use a direct measure of voluntary disclosure developed by Cooper et al. to demonstrate the negative relation between voluntary disclosure and the average informativeness of earnings announcements.