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This paper documents the effect of different types of information on the value of financial analysts.

The authors use the pooled OLS regression and the data of nonfinancial firms from France to test our hypotheses. The data covers the period between 1997 and 2019.

The results show that analysts are more likely to cover those firms that incorporated greater proportion of market-wide information in their prices. Consistent with the economies of scale view, the authors argue that analysts specialize in the interpretation market-wide information. By doing so, they are able to cover relatively large number of firms simultaneously. The results also show that the value of analyst coverage (measured as the impact of analyst coverage on firm value, probability of stock price crash and probability of stock price jump) is a function of the extent to which different types of information are incorporated in prices. The authors’ results suggest that the impact of analyst coverage on firm value and on probability of crash is less pronounced in firms that incorporate greater proportion of market-wide information. In case of probability of jump, the results show that the impact of analyst coverage is more pronounced firms that incorporate greater proportion of market-wide information.

The major contribution of this paper is to document the impact of different types of information on the extent of analyst coverage. Furthermore, this paper also uses various measures (the impact of analyst coverage on firm value, probability of stock price crash and probability of stock price jump) to show how different types of information affects the value of analyst coverage.

This paper aims to measure the trade price impact of a recent regulatory disclosure intervention in municipal securities secondary markets, which required broker-dealers to disclose securities trading information on a near-real-time and continuing basis.

The author analyzes trade price outcomes in the preintervention and postintervention regimes using a suite of time series estimations that give heteroskedasticity-robust standard errors (Prais–Winsten and Cochrain–Orcutt), accommodate higher-order lag structure in the error term (autoregressive integrated moving average) and account for volatility clustering in the time series (generalized autoregressive conditional heteroskedasticity).

Results show that regulatory disclosure intervention significantly improved trade price efficiency in municipal securities secondary markets as daily trade price differential and volatility both declined market-wide after the disclosure intervention.

The sample consists of trades in State of California general obligation bonds; therefore, empirical findings may not be generalizable to other states, local governments and different types of bonds.

The findings highlight voluntary information disclosure as a practical and effective mechanism in disclosure regulation of municipal securities secondary markets.

Only a small body of work exists that examines information disclosure regulation in municipal securities secondary markets; therefore, this paper expands knowledge on the topic and should provide renewed impetus for regulatory efforts aimed at improving the efficiency of municipal capital markets.

The purpose of the study is to examine the influence of corporate governance on the flow of firm-specific information in an emerging market.

Synchronicity is estimated under assumptions of contemporaneous and non-contemporaneous relationship between individual stock returns and the market return. Possible thin-trading effect is also corrected using the Dimson’s Beta approach to estimate synchronicity. In the main empirical model, both the Panel-Corrected Standard Errors and the Generalized Least Square estimations were used to provided robust evidence of governance influencing transparency.

Corporate governance was found to broadly influence the release of firm-specific information in a relatively opaque market through the information environment. However, no evidence in support of the “auditor-reputation effects” theory was found. As well, CEO duality does not create an individual powerful enough to reduce the monitoring role of boards. We further document the presence of noise trading on the Ghana Stock Exchange.

This study suggests that specific corporate mechanism practices have implications for stock selection in a relatively high information asymmetry Capital Market. Investors require transparency; hence, firms with governance mechanisms that elicit such transparency are likely to attract investors.

This study is the first to examine the relationship between governance and transparency while using stock return synchronicity as a proxy for transparency in an emerging Ghanaian Capital Market.

The purpose of this paper is to provide a review of theory and empirical evidence on herding behavior in financial markets.

Review and discussion of the literature.

More than two decades of empirical and theoretical research have provided a significant insight on investor herding behavior.

The discussion indicates that there are still open issues and areas with inconclusive evidence, e.g. the author knows relatively little for markets other than equity markets.

The paper may need empirical methodologies to evaluate herding that address current limitations.

The paper reviews recent empirical evidence and identifies open issues for future research.

This study examines the cross‐autocorrelation of size‐based portfolio returns in a sample of 15 major European markets using daily data from January 1990 through December 1999. Previous studies have primarily used U.S. data. This study extends previous research by considering results in multiple European exchanges. We examine whether a difference in size‐based portfolios exists by testing cross‐autocorrelation, granger‐causality, and asymmetric responses in the European markets. The results confirm that large stock portfolio returns lead small stock portfolio returns in most European countries, and that cross‐autocorrelation is present both within and between European financial markets.

It has been widely documented that investors and analysts underreact to information in past earnings changes, a fundamental performance indicator. The purpose of this paper is to examine whether managers’ voluntary disclosure efficiently incorporates information in past earnings changes, whether analysts recognize and fully anticipate the potential inefficiency in management forecasts and whether managers’ potential forecasting inefficiency entirely results from intentional disclosure strategies or at least partly reflects managers’ unintentional information processing biases.

Archival data were used to empirically test the relation between management earnings forecast errors and past earnings changes.

Results show that managers underreact to past earnings changes when projecting future earnings and analysts recognize, but fail to fully anticipate, the predictable bias associated with past earnings changes in management forecasts. Moreover, analysts appear to underreact more to past earnings changes when management forecasts exhibit greater underestimation of earnings change persistence. Further analyses suggest that the underestimation of earnings change persistence is at least partly attributable to managers’ unintentional information processing bias.

This study contributes to the voluntary disclosure literature by demonstrating the limitation in the informational value of management forecasts. The findings indicate that the effectiveness of voluntary disclosure in mitigating market mispricing is inherently limited by the inefficiency in management forecasts. This study can help market participants to better use management forecasts to form more accurate earnings expectations. Moreover, our evidence suggests a managerial information processing bias with respect to past earnings changes, which may affect managers' operational, investment or financing decisions.

This paper aims to investigate the impact of the proposed carbon tax on the financial market return of Australian firms. It also considers the differential tax effect on individual firms with different carbon profiles, including factors such as emissions costs, carbon disclosure and climate-change policies.

Utilising the event-study method, the authors examine the market reaction to seven key carbon legislative information events that occurred from February 2011 to November 2011. The sample includes 48 different firms whose emissions-related data are available from Carbon Disclosure Project reports; thus, 336 firm-event observations are used for the cross-sectional analysis.

The paper documents evidence that the proposed tax has an overall negative impact on shareholder wealth as measured by abnormal returns. The negative impact varies across sectors, with the most significant effect found in the materials, industrial and financial sectors. It was also found that a firm’s direct carbon exposure (as measured by Scope 1 emissions) is significantly associated with abnormal returns, whereas the indirect exposure (as measured by Scope 2 emissions) is not, because Scope 2 emissions are not covered by the tax. In addition, the findings suggest that the information content of the events is more notable during the early stages of the development of the carbon tax.

The sample is restricted to the largest firms with relevant carbon profile information. Thus, caution should be exercised when generalising the inferences.

The introduction of the carbon tax was largely unexpected and most firms were unprepared for it; thus, their carbon policy appears inadequate and does not impress investors. An understanding of how the carbon tax affects shareholder value and welfare will encourage management to take proactive actions to mitigate the compliance costs of carbon legislation.

The enactment of the Australian carbon tax perhaps represents one of the biggest social and economic restructuring events in the country’s history. Our results offer initial insight into its impact and suggest that investors would penalise firms with heavy direct operational emissions. In addition, Australian corporate carbon policy seems inadequate, so does not reverse the negative effect of the tax on the value of a firm.

The purpose of this study is to examine herd behaviour under different market conditions, examine the potential impact of the firm size and stock characteristics on this relationship, and explore how herding affects market prices in the German market.

The authors apply a method that does not rely on theoretical models, thus eliminating the biases inherent in their application. This technique is based on the assumption that macro herding manifests itself in the synchronicity (comovement) of stock returns.

The study’s findings show that herding is more pronounced in down markets and is more pronounced when market returns reach extreme levels. Additionally, the authors have found that there is stronger herding among large companies compared to small companies, and that stock characteristics considered have no effect on the degree of macro herding. Results also suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the incorporation of market-wide information into prices.

The study’s results strongly support the idea of directional asymmetry, which holds that stocks react quickly to negative macroeconomic news while small stocks react slowly to positive macroeconomic news. Additionally, the study’s results suggest that the contemporaneous market-wide information drives macro herding and that macro herding facilitates the rapid incorporation of market-wide information into prices.

To the best of the researchers’ knowledge, this is the first study that examines macro herding for a major financial market using a herding measure based on the co-movement of returns that does not rely on theoretical models.

Taiwan OTC market is an electronic, order driven, call market. The purpose of this paper is to gain understanding of whether trade size or number of transaction provides more information on explaining price volatility and market liquidity in this market. The paper also aims to investigate how market condition can affect the relationship between information type and trading activities.

The paper uses data from the Taiwan OTC market to run the empirical tests. It divides firms into five size groups based on their market capitalization. Regression equations are run to test: whether number of transactions has a more significant impact on price volatility on the Taiwan OTC market; the impact of market information on number of transactions; the relative impact of firm specific and market information on number of transactions; and the impact of number of transaction of bid‐ask spread.

Findings show that the larger the number of transactions, the higher the price volatility. Smaller firms on the Taiwan OTC market are traded based on firm‐specific information. This relation is further affected by market trends. Especially for the larger firms, when the market is up and the amount of market information increases, number of transactions increases. When the market is down and the amount of market information increases, number of transactions decreases. Finally, it is found spread size is more likely to be influenced by number of transactions, instead of trade size. Overall, based on these empirical results, the information content of number of transactions seems to be higher than that of trade size in the Taiwan OTC market.

Investors now understand that number of transaction actually carry more information than trade size does.

The relation between market information and number of transaction, also that between market information and trade size is influenced by market condition. The paper fills a gap in the literature to show that market condition has an impact on the relation between information type and trader's behavior. A number of transactions are identified that provide more information than trade size does. It is also shown that market conditions can further affect the impact of information on trading activities.

The purpose of this paper is to investigate the impacts of investor attention on stock market activity.

The authors employed the Google Search Volume (GSV) Index, a direct and non-traditional proxy for investor attention.

The results indicate a strong correlation between GSV and trading volume – a traditional measure of attention – proving the new measure’s reliability. In addition, market-wide attention increases both stock illiquidity and volatility, whereas company-level attention shows mixed results, driving illiquidity and volatility in both directions.

To the best of the authors’ knowledge, Nguyen and Pham’s (2018) study has been the only previous study identifying investor attention in Vietnam by using GSV as a proxy and examining the impacts of broad search terms about the macroeconomy on the stock market as a whole – on stock indices’ movements. The paper will contribute to this by quantifying GSV impacts on each stock individually.