Search results

This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.

This paper aims to examine the impact of stock market liquidity on the value of reported earnings in Egypt, proxied by the earnings–return relationship, during the period between 2006 and 2015.

To achieve this objective, this paper uses a sample including all active firms listed on the Egyptian Stock Exchange. This study employs multivariate panel data regression analysis with fixed effects estimated using robust standard errors, and control for other variables. All financial, accounting and stock market data are collected from the Thomson Reuters Worldscope and Datastream databases.

The empirical results report a significant positive relation between liquidity and earnings informativeness. This study argues that in environments with high information asymmetries, reported earnings are informative conditional on stock liquidity. All results remain valid when using heteroscedasticity-robust standard errors clustered across firms, alternative measures of liquidity, sub-groups of different sizes and estimating quantile regressions.

This paper identifies stock price liquidity as a significant determinant of stock price informativeness of earnings in Egypt. In particular, stock liquidity reduces agency conflicts and information asymmetries between managers and market investors, and thereby decreases managerial incentives to misreport earnings. This consequently enhances the quality of reported earnings and the informativeness of prices.

The purpose of this paper is to investigate the real effects of primary and secondary equity markets on the post-issue operating performance of initial public offering (IPO) firms.

The author utilizes the intended use of proceeds as a proxy variable for the primary market and the investment-to-price sensitivity and the informativeness of stock prices as alternative proxy variables for the secondary market. The compositional data, and non-parametric quantile regressions which are more robust to outliers than standard least square regressions, are employed for Indonesian equity market over the period of 1999-2013.

While confirming that firm operating performance can be explained by the firm’s motivation to go public, the author also shows that the operating performance is positively affected by investment-to-price sensitivity and negatively affected by stock price informativeness. The stock prices affect investment decisions by the way that the more liquid a stock is, the more informative its price is, and the more relevant stock prices are in investment decisions. These findings still hold after controlling for ownership structure.

Departing from the existing literature, the author investigates the role of primary and secondary equity markets for firm performance in an integrated framework because both markets interact closely in reality. The author shows that public listed firms can benefit both from the capital-raising function of the primary market and from the informational role of the stock prices of the secondary market. A measure of stock price informativeness, 1−R², however, must be understood in the context of thin trading in the sense that the level of liquidity affects the level of stock price informativeness.

The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.

This paper takes advantage of information disclosure during the bond issuance and examines the spillover effect of unlisted bond issuers' information disclosure on listed firms in the stock market. The sample is composed of A-share firms listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2018. All the data are obtained from the China Stock Market and Accounting Research and WIND databases. The impact of bond market information disclosure on price informativeness of listed firms in the same industry is identified through multivariate regression analyses.

Empirical results show that price informativeness of listed firms has a significantly positive association with the information disclosure of same-industry unlisted bond issuers. Further analyses show that the above finding is more significant when information disclosure of bond issuers is a more important channel for acquiring industry information (i.e. when industry is more concentrated, when economic uncertainty is high, and when industry information is less transparent) and understanding the industry competitive landscape (i.e. when bond issuers are relatively large, when bond issuers and listed firms have more direct product competition, when bond issuance firms are large-scale state-owned business groups), and when there are more cross-market information intermediaries (i.e. more cross-market institutional investors and more sell-side analysts). This paper indicates that information disclosure of bond issuers has a positive spillover effect on the stock market.

The novelty of the research is that the authors examine industry information spillover from unlisted firms to listed firms leveraging on unlisted firms' information disclosure in bond markets.

This study investigates the nature of the association between profit warnings and stock price informativeness in the context of Jordan as an emerging country.

The authors used a large panel data set that related to stock price synchronicity and profit warnings percentages on the Amman Stock Exchange for the period spanning 2007–2018. Robust regression was used as a parametric test. This enabled us to obtain stronger results that fall in line with our prediction that a profit warning encourages firm investors to collect and process more firm-specific information than common market information.

Our findings show a significant positive effect of profit warnings on the amount of firm-specific information incorporated into stock price, which means that the greater the percentage of profit warnings the more likely that more firm-specific information will be incorporated in stock price synchronicity. In addition, corporate governance characteristics (moderating variables) significantly increase the level of the relationship between profit warnings and stock price synchronicity.

Our study results could be useful to investors, senior managers, and regulators in Jordanian firms, particularly in relation to decisions about enhancing the quality of financial statements. In addition, our results provide new evidence about the consequences of earnings announcements for information content and the informativeness of stock prices. Our methodology and evaluation of profit warnings may also demonstrate useful evidence for future researchers on profit warnings and stock price informativeness in developing economies, especially given that such evidence is scarce in developing economies.

This research is the first study of its kind on emerging markets, particularly in the Middle East. Moreover, entering the corporate governance variables as moderating variables to the robust regression was found to be more powerful than other regressions.

The purpose of this paper is to examine the association between politically connected (POLCON) firms and stock price synchronicity, and whether this association can be attenuated by institutional investors.

This paper uses an ordinary least square regression model to examine the association between POLCON firms and stock price synchronicity; institutional ownership and stock price synchronicity; the moderating role of institutional ownership on the association between POLCON firms and stock price synchronicity; institutional domiciles and stock price synchronicity; and the moderating role of institutional domiciles on the association between POLCON firms and stock price synchronicity.

The result shows that POLCON firms are positively associated with stock price synchronicity. Further, the author also finds that institutional monitoring, through higher ownership by local institutional investors is associated with lower stock price synchronicity. In addition, this study documents evidence that institutional investors, particularly local institutional investors can improve stock price informativeness in POLCON firms.

The results suggest that POLCON firms are plagued by severe agency problems, resulting in limited flow of firm-specific information to the capital markets. However, the author shows that POLCON firm’s agency problems can be attenuated through effective monitoring by institutional investors. Further, institutional domiciles are shown to be significantly associated with stock price synchronocity. However, effective monitoring is largely driven by local institutional investors, in line with the geographical proximity theory.

The results suggest that regulators should increase their surveillance and monitoring effort, particularly on firms with close ties to the government. In particular, POLCON firms should be required to be more transparent in their corporate dealings. Additionally, auditors should intensify their audit efforts on POLCON firm to provide more reliable financial information to minority shareholders, investors and analysts. Finally, institutional investors should be incentivized by the Malaysian Securities Commission, via, the code of governance to play an effective monitoring role in Malaysian firms.

This study reveals that POLCON firms’ severe agency problems can be alleviated by effective institutional monitoring. Further result identifies institutional domiciles as a significant factor in influencing monitoring effectiveness in POLCON firms. This paper provides insights into the dynamic interaction between political connections, institutional monitoring, firm governance and capital markets behavior of an emerging market.

The purpose of this paper is to investigate how block trading and asymmetric information contribute to the firm-specific information measured by the stock return synchronicity. Based on China stock market which is dominated by individual investors, this study focus on whether traders of block trading, which are usually institutional investors, are “information trader.”

Based on the high frequency data, the paper constructs two measures of information asymmetry, intraday measure and inter-day measure. Then the paper constructs a multiple regression model and examine how block trading and information asymmetry contribute to the firm-specific information measured by the stock return synchronicity.

The results show that: on the one hand, block trading transmits more firm-specific information, and can reduce the synchronicity; on the other hand, when the degree of information asymmetry is higher, block trading contains more firm-specific information and has a stronger effect on synchronicity. The effect of information asymmetry specifically displays as: block trading during the first half-hour of the trading day has a stronger effect on synchronicity; and block trading occurred in the days with publicly announced trading information has greater impact on synchronicity.

The conclusions have important practical implications: for market regulators, monitoring for block trading can improve the recognition and prevention of insider trading; for individual investors, especially the risk aversion investors, recognition of intraday and inter-day information asymmetry is beneficial for them to avoid the risk of asymmetric information.

First, the domestic and foreign research mostly concentrated impact of block trading on stock prices. However, reasons of stock price changes include the information effect and non-information effect, this paper selects stock return synchronicity as firm-specific information measure, and mainly focus on the information effect of block trading. Second, based on the high frequency data, the paper constructs two measures of information asymmetry, intraday measure and inter-day measure. Compared with general measure of information asymmetry, such as firm size, earnings quality, the two measures based on high frequency data are more precisely.

The purpose of this paper is to add to the understanding of the monitoring role of multiple large shareholders (MLS) by examining their impact on the informativeness of firms' earnings.

The paper uses regression models that relate earnings to stock returns for a sample of 402 French publicly traded firms covered during 2003‐2007.

The paper shows that earnings informativeness is significantly positively related to the owner's ultimate cash flow rights. Consistent with the alignment effect, stock ownership aligns management and shareholders interests which reduces managers' incentives to manipulate accounting information. It also finds that earnings informativeness is significantly negatively related to the excess control of the ultimate controlling shareholder. This result supports the entrenchment effect and suggests that controlling shareholders have greater incentives to obscure accounting figures when expropriation is likely. Finally, control contestability of the largest controlling shareholder mitigates information asymmetry problems thereby enhancing earnings informativeness.

The findings stress the importance of MLS in enhancing internal monitoring and mitigating agency costs. Because France is characterized by a weak legal system, highly concentrated ownership structures and excess control, the results provide valuable insights to mitigate extreme agency problems.

The paper adds to the literature on corporate governance and the quality of accounting information by investigating strategic interactions between various blockholders and their impact on earnings informativeness. The study complements prior studies on the monitoring role of MLS by demonstrating that both their presence and control size translate into significantly greater earnings informativeness.

The purpose of this paper is to investigate whether income smoothing does indeed improve the informativeness of stock prices about firms' future earnings and cash flows. Also an approach to studying the effects of income smoothing is presented.

This study uses data from 1992‐2006 and runs regressions on each of the 560 industry‐year cross‐sections. The data compiled from the financial statements of firms were collected for each year available from the Tehran Stock Exchange database. Income smoothing is defined as the management of accruals to reduce time‐series variation in income, and uses a cross‐sectional version of the Jones model, modified by Kothari, Leone and Wasley. Smoothing is measured as the variation of net income relative to the variation in CFO, or the correlation between changes in accruals and changes in CFO. Informativeness is measured as the coefficient on future earnings (cash flows) in a regression of current stock return against current and future earnings (cash flows and accruals).

The findings suggest that income smoothing enhances the information content of the effect of stock price on future earnings, thus improving the ability of market participants to make informed decisions about the allocation of capital resources.

Although previous research on the subject of income smoothing in an emerging market has been documented, its effect on stock prices efficiency is largely unknown. Thus, this paper presents an approach to studying the effects of income smoothing and the knowledge that the ability to manage earnings could improve stock prices efficiency could be useful for academics and policymakers in this market.

Prior literature suggests that stock prices lead earnings in reflecting value-relevant information because accounting income incorporates information discretely to satisfy recognition principles while stock prices incorporate it continuously. The purpose of this paper is to derive an analytical model that relates the time lag of earnings to the incremental informativeness of future anticipated earnings in equity prices after controlling for current realized earnings.

This study models the extent to which forward-looking information about future earnings is capitalized into current stock returns. Specifically, this study derives an analytical future earnings response coefficient (FERC) model that regresses current stock returns on both current and future earnings surprises, and examines the properties of the regression coefficients on current earnings (i.e. current earnings response coefficient, CERC) and future earnings (i.e. FERC).

The analytical FERC model shows that the pricing coefficient on future earnings (FERC) is positive in the presence of stock prices leading earnings. More importantly, the pricing coefficient on future earnings (FERC) increases with the recognition lag, but the pricing coefficient on current earnings (CERC) decreases with the lag. The results suggest that recognition principles that intend to enhance the reliability of earnings inadvertently lower the timeliness of earnings and, thus, shift the investors’ demand for value-relevant information from current realized earnings to future anticipated earnings.

This study makes two major contributions. First, it fills the gap between the lack of an analytical model and the abundance of empirical findings in previous FERC studies. As the recognition lag of earnings increases, stock investors shift the pricing weight on value-relevant information from current realized earnings to future anticipated earnings. Second, it provides support for the validity of the FERC model as an empirical model that examines the lack of earnings timeliness. As the timeliness of earnings relative to stock prices declines, the FERC increases but the CERC decreases.