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The purpose of this paper is to investigate whether there is any difference across individual investors, domestic and foreign institutional investors in trading volume responses to analyst reports. The authors also examine the determinants of trading volume responses using firm as well as forecast characteristics.

The authors use trading data from the Korean equity market. The authors divide investors into three classes of investors; namely, individual investors, domestic institutional investors, and foreign institutional investors. The authors then examine whether the trading responses to analyst reports vary across investor types, and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types.

Individual investors are the most responsive investor group, being responsive to analyst reports on small, neglected firms with large inside ownership as well as to analyst reports with optimistic forecasts. Domestic institutional investors are responsive to reports on neglected firms with high return volatility while foreign institutional investors show least responses.

There are few studies that investigate whether the trading responses to analyst reports vary across investor types and how firm characteristics and characteristics of analyst reports influence the trading activities on the release dates across investor types. Taking advantage of the trading volume data for the three main investor types in the Korean stock market, the authors study the trading volume responses for each investor type and make comparisons across investor types.

This paper reports the results of the effects of the release, in the United Kingdom, annual reports and accounts (ARA), on security prices and trading volume of the U.K. firms. If the information reported in the annual reports and accounts (ARA) is relevant, the U.S. security market will respond to the release news through return and volume variances. Both signals are indicators of the relevance of the annual reports and accounts. The results of the analysis suggest the existence of unexpected returns to the annual reports and accounts and no corresponding U.S. trading volume response. The price results are in marked contrast to the findings of previous research that examined the information content of U.S. domestic annual reports, but do not detect a stock price response (e.g., Foster et al. 1986; Bernard and Stober 1989; Cready and Mynatt 1991). Our stock price analyses indicate that non‐U.S. GAAP accounting measures do not impede U.S investors' ability to use U.K. firms' ARA in valuing the sample firms. Indeed, U.S. investors use information from the ARA in their valuation of U.K. firms. Since trading responses to a disclosure are generally more easily detected than price responses (Cready and Hurtt 1999), these findings jointly suggest the provincial nature of the ARA release.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants.

We use multivariate regression approach and examine how trading activity levels within the set of non-announcing firms varies with respect to collective measures of contemporaneous earnings announcement visibility. We employ attention and information transfer theories in our hypothesis development.

This analysis is the first to explore the overall roles of the offsetting attraction and distraction influences of earnings news in shaping the level of attention given to the equity market by market participants. Specifically, we examine how the number of earnings announcement activity affects investor attention as measured by trading volume given to the set of non-announcing firms. We find that while earnings announcement numbers lower trading volume responses to earnings news among announcing firms (consistent with Hirshleifer et al., 2009), their distractive influence does not carry over into the market as a whole. More importantly, investor attention to both the overall market and the larger subset of non-announcing firms increase in response to earnings news activity levels. However, after decomposing the announcers as same-industry and different-industry announcers, we find that investor attention to the non-announcing segment of the market increases with the number of same-industry announcers, but actually seems to decrease (i.e. they distract attention) with the number of different-industry announcers. We also find that the associated earnings surprise brings attention to non-announcing firms (consistent with earnings news is relevant to overall market price movements). Finally, we find that distraction effects are attenuated in the financial crisis period.

A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms. Although it will be a challenging task to measure pricing efficiency for the non-announcers, this will complement the prior literature only focusing on the announcing segment of the market.

First, instead of assessing the impact of number of earnings announcements on the subset of announcing firms, which is a micro-level perspective, we identify the impact of news arrivals on all firms in the market including the vastly larger set of non-announcing firms. Second, by decomposing the number of announcements into industry-related and -unrelated news we show that different types of news arrivals spark investor attention differently, suggesting the importance of categorizing the news into related and unrelated industries.

A potential future area of research identified by our analysis is to investigate what type of investors' attention is distracted or attracted during the earnings announcements. A promising area of future research is to examine the relation between market pricing efficiency and aggregate earnings activity for the set of non-announcing firms.

This paper is the first one exploring the overall roles of the offsetting attraction and distraction influences of earnings announcements in shaping the level of investor attention given to the equity market by market participants. Our findings should be of interest to investors, analysts, security market regulators and researchers.

The purpose of this paper is to examine the relationship between trading volume and returns in the West Texas Intermediate (WTI) and Brent crude oil futures markets. In so doing, the paper addresses two important issues. First, whether there is a positive relationship between returns and trading volume in the crude oil futures markets. Second, whether information regarding trading volume contributes to forecasting the magnitude of return in the markets, an important issue because the ability of trading volume to predict returns imply market inefficiency.

The paper used daily closing futures price and their corresponding trading volumes for WTI and Brent crude oil markets during the sample period January 2008 to May 2011. Both the log volume and the unexpected component of the detrended volume are used in the analysis in other to have robust alternative conclusion. The generalized method of moments (GMM) approach is used to examine the contemporaneous relationship between returns and trading volume while the Granger causality approach, impulse response and variance decomposition analysis are used to investigate the ability of trading volume to predict returns in the oil futures markets.

The results reject the postulation of a positive relationship between trading volume and returns, suggesting that trading volume and returns are not driven by the same information flow which contradicts the mixture of distribution hypothesis in all markets. The results also show that neither trading volume nor returns have the power to predict the other and therefore contradicting the sequential arrival hypothesis and noise trader model in all markets. Finally, the findings support the weak form efficient market hypothesis in the crude oil futures markets.

The findings has important implications to market regulators because daily price movement and trading volume do not respond to the same information flow and therefore the measures that control price volatility should not focused more on volume; otherwise they may not provide fruitful outcomes. Additionally, traders and investors who participate in oil futures should not base their decisions on past trading volume because it will lead to profit loss. The results also have implications for market efficiency as past information cannot assist speculators to forecast returns in all the oil markets. Finally, investors can benefit from portfolio diversification across the two markets.

The purpose of this paper is to examine the contemporaneous and causal relationship between returns (volatility) and trading volume in the Indian currency futures market for selected currency pairs; USD-INR, EUR-INR, GBP-INR and JPY-INR, from August 2008 to December 2014.

The data for all the currency futures series has been taken from National Stock Exchange of India Limited which represents the daily settlement prices along with trading volume. The contemporaneous returns-volume relation is tested using the generalized method of moments, and Granger-causality framework impulse response function is used to test the predictive ability of returns (volatility) and volume for each other.

The author reports a positive contemporaneous relationship between futures returns and trading volume which persists even after controlling for heteroskedasticity providing support to mixture of distribution hypothesis. The results show a unidirectional Granger causality from futures returns to volume. However, there is a significant bidirectional Granger causality between returns volatility and volume lending support to sequential arrival of information hypothesis. Next, the results for cross-currencies show significant influence of US dollar on the volume and returns of all other currencies. Overall, the author suggests that the short- to medium-term movements in the currency markets are dominated by market microstructure and not by fundamentals.

The findings of this paper are very important for the participants in the market and regulators. The participants in the market require alternatives to diversify their risk. The significant relationship between futures returns (volatility) and trading volume implies that the current trading volume help predict the futures prices and should lead to creation of more reliable hedging strategies for investment purposes. Further, it may interest the regulators who need to decide upon the appropriateness of their policies in the currency futures market. Based on returns-volume relation, they need to set forth market restrictions such as daily price movement and position limits.

To the best of the knowledge, no study has yet investigated the forecast ability of trading volume to price changes and their volatility in the Indian currency futures market. Given that currency futures market is one of the largest markets in the world, and Indian rupee has seen wide fluctuations in the recent years, it seems exciting to explore the price-volume relationship in the Indian currency futures market.

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.

The purpose of this paper is to identify and examine two contrasting mechanisms of information asymmetry for cross-listed firms with respect to the information environment and its impact on earnings response.

The study empirically assesses two mechanisms of information asymmetry (“seeing” and/or “believing”) by looking at abnormal returns and volume reactions to international firms’ earnings announcements pre- and post-listing in the USA from 1990 to 2012.

The authors’ findings indicate that investors “seeing” more (media and analyst coverage) decrease the earnings response; however, “believing” more or gaining more credibility has the opposite effects. Based on the results, both mechanisms of information asymmetry can take effect simultaneously.

The study sheds light on the multi-dimensional impact of the improved information environment that non-US firms face when they list their securities on US exchanges.

This study identifies and reconciles these two mechanisms of information asymmetry (visibility and credibility) under one setting and estimates the magnitude of each effect empirically.

This study aims to revisit the stock price–volume relations, providing new evidence from the emerging market of Qatar. In particular, three main issues are examined using both aggregate market- and sector-level data. First, the return–volume relation and whether or not this relation is asymmetric. Second, the common characteristics of return volatility; and third, the nature of the relation between trading volume and return volatility.

The study uses the OLS and VAR modeling approaches to examine the contemporaneous and dynamic (causal) relations between index returns and trading volume, respectively, while an EGARCH-X(1,1) model is used to analyze the volatility–volume relation. The data set comprises daily index observations and the corresponding trading volumes for the entire market and the individual seven sectors of the Qatar Exchange (i.e. banks and financial services, consumer goods and services, industrials, insurance, real estate, telecommunications and transportation).

The empirical analysis reports evidence of a positive contemporaneous return–volume relation in all sectors barring transportation and insurance. This relation appears to be asymmetric for all sectors. For the market and almost all sectors, there is no significant causality between returns and volume. By and large, these findings lend support for the implications of the mixture of distributions hypothesis (MDH). Lastly, the information content of lagged volume seems to have an important role in predicting the future dynamics of return volatility in all sectors, with the industrials being the exception.

The findings provide important implications for portfolio managers and investors, given that the volume of transactions is generally found to be informative about the price movement of sector indices. Specifically, tracking the behavior of trading volume over time can give a broad portrayal of the future direction of market prices and volatility of equity, thereby enriching the information set available to investors for decision-making.

Based on both market- and sector-level data from the emerging stock market of Qatar, this study attempts to fill an important void in the literature by examining the return–volume and volatility–volume linkages.

This paper aims to investigate the impact of the filing of Form 20-F to the Securities and Exchange Commission (SEC) on short-term trading volume and return by those foreign firms which list their securities in the US Stock Exchanges.

The authors collected 402 American depository receipt (ADR) firms from 38 different countries that listed their securities in the US Stock Exchanges over a 10-year period of 2000-2009. A regression model was used to examine such impact, including the post year 2007 SEC elimination of reconciliation.

This paper found significant abnormal trading volumes and abnormal returns one day, two days and three days following the 20-F report for the sample firms whose financial statements were prepared under both home-country accounting principles and US generally accepted accounting principles (GAAP). Firms originally using international financial reporting standards (IFRS) do not present abnormal return and abnormal trading volume. This indicates that US investors view IFRS to be as high-quality as US GAAP.

The findings might be limited to this period and might not draw statistical inference for the future period. This evidence offers support for the SEC’s elimination of the reconciliation requirement to US GAAP.

This study was carried out with the aim to investigate whether the release of Form 20-F by ADR firms offers any additional information useful to investors incorporating both abnormal return and trading volume, which is thought to be more sensitive.

This paper investigates the short-term return and volume reactions caused by the earnings and equity reconciliation from home-country accounting standards or IFRS to US GAAP for foreign cross-listed firms in the USA.

In this work, the authors conduct an online survey to evaluate how Sensation Seeking and Overconfidence influences the transaction volume of day traders in Brazil.

The authors conducted a survey to gather the primary data. They applied linear regressions between the variables, and then the stepwise technique in order to eliminate the ones with the least explanatory power.

The authors found that the aggregated trace Sensation Seeking did not positively influence the trading volume of day traders, but some of its facets did, like Thrill and Adventure Seeking and Boredom Susceptibility/Impulsivity. For the Overconfidence bias, only its Overplacement form showed a positive effect on the transaction volume of day traders, while Overestimation and Miscalibration did not.

This is the first study that seeks to identify the relationship of Sensation Seeking and Overconfidence, considering their different facets and forms, in a more homogeneous sample of day traders, which have mostly speculative reasons for trading. Its results reveal the multidimensional characteristics of the Sensation Seeking and Overconfidence behavioral aspects and lighten some of the motivations for day traders to overtrade.