Search results

The main purpose of this research study is to investigate the impact of quarterly earnings announcements on stock price movement of the firms constituting the SENSEX under two different market conditions – booming followed by recessionary. Analysis of price effect of quarterly earnings announcements during the five-year period prior to trading suspension, which is also characterized by a booming market condition have been made. Similar analysis during the five-year period following the trading suspension and marked by recessionary market condition has also been carried out side by side.

Event study methodology using daily returns and market model has been used for the purpose of analyzing the quarterly earnings announcement effects on the security prices of the firms. A sign test has also been used along with the event study.

The study reveals that quarterly earnings announcement does not have statistically significant effect on stock returns during the booming as well as the recessionary market conditions. The impact of quarterly earnings announcements on stock price movement of firms constituting the SENSEX has been similar for both periods undertaken in the study.

The study has been undertaken using the firms listed in BSE SENSEX. The effect of the quarterly earnings announcement with reference to firms listed in other indices, if covered, may provide different sets of results.

The paper identifies the informational value of quarterly earnings announcement of BSE-SENSEX.

The purpose of this paper is to examine whether non‐mandated earnings disclosures include value‐relevant information and affect information asymmetry and stock market liquidity.

The event study methodology explores the informational content of good, bad and neutral voluntary earnings disclosures. The OLS panel regression framework is, then, used to analyze information asymmetry and stock market liquidity subsequent to both categories of voluntary earnings disclosures (i.e. earnings forecasts and quarterly earnings disclosures).

Empirical tests show that voluntary earnings disclosures include material information and that bad news is released in an untimely fashion leading to information leakage in the pre‐announcement period. The results also indicate that quarterly earnings enhance stock market liquidity by shrinking bid‐ask spreads. However, earnings forecasts exacerbate information asymmetry before and after the announcement date. This result confirms the existence of information leakage and suggests that managers have considerable discretion whether to make a forecast, and in deciding its timing, form, and specificity.

This paper examines stock market liquidity around voluntary earnings disclosures using effective spreads. Future research should examine other proxies for market liquidity, i.e. market depth.

The results provide insights on the positive benefits of a disclosure policy. Companies have to provide investors with better and timely information in order to mitigate the information leakage risk and thus improve stock market liquidity.

This paper provides new evidence about information content, information asymmetry and stock market liquidity around voluntary earnings disclosures in France. Unlike financial statements disclosures, quarterly earnings and earnings forecasts are isolated events that can be evaluated by the market with less noise.

This study examines the information content of firms’ operations-related disclosures (ORDs) and the importance of these disclosures as an information source to stock markets relative to other commonly examined sources of information. I find that ORDs constitute a large portion of corporate press releases. These disclosures are associated with significant stock price reactions and trading volume. The stock price reactions to ORDs are greater than the reactions to 10-K/Q reports and are of similar magnitudes to the reactions to 8-K filings. On average, ORDs explain variation in firms’ quarterly returns to a similar degree as management earnings forecasts and 10-K/Q reports for the full sample and to a greater degree for small firms and firms with lower earnings quality.

The purpose of this study is to investigate whether the earnings surprise influences decision to make earnings announcements during or after the trading hours is influenced by the earnings surprise resulting from the difference between consensus earnings estimates and the actual reported earnings.

Event study methodology was employed to test the hypotheses relating to earnings surprise and timing of earnings announcements. Twelve quarterly earnings announcements of 30 companies, drawn from BSE SENSEX of India, were studied to test the hypothesized relationships.

The study has found statistically significant differences in the market responses to the earnings announcements made during and after the trading hours. The market demonstrated a negative response to the earnings announcements made after the trading hours. Further, the results of the logistic regression have shown that the presence of significant earnings surprises is likely to induce firms to make earnings announcements after the trading hours. The results indicate that those firms that intend to reduce the overreaction and underreaction to earnings surprises are likely to make earnings announcements after the trading hours.

This paper highlights the market response to the earnings announcement made during and after the regular trading hour. Further, the paper examines if the earnings surprise influences the decision to announce the results.

Recent research on local bias provides evidence that investors' portfolios include a non‐negligible allocation to stocks in firms that are geographically proximate to the investors. The reasons postulated for local bias include familiarity with firms, “word‐of‐mouth” communication effects, and ability to exploit local news. The purpose of this paper is to investigate the value‐relevance of local news, specifically earnings announcement surprises, in the context of the well‐documented local bias in investors' portfolios.

Using a hand‐collected panel dataset spanning 15 years of quarterly earnings announcements of publicly traded firms, abnormal stock returns engendered by earnings surprises based on local newspaper announcements are compared to those from earnings surprises based on financial analysts' forecasts (I/B/E/S).

In contrast to the case, when both sources of earnings surprises are negative, the authors find a statistically significant differential stock price effect in a sample where local firms' earnings announcements in the local newspaper signal positive earnings surprises, but the earnings surprise based on financial analysts' forecasts is negative. This result remains after controlling for time‐ and firm‐fixed effects. In additional tests, the authors establish that the result is predicated on a local firm's earnings announcement being reported in the local newspaper.

The paper's findings suggest that the results of empirical research on the information content of earnings surprises based solely on analysts' forecasts should be interpreted with caution. It was found that the stock price impact of earnings surprises is also significantly influenced by local newspaper reports of the announced quarterly earnings of local firms.

This study aims to find the response by stock market against the announcements of quarterly earnings is empirically tested by exploiting event study methodology. Efficient market hypothesis (EMH) on Saudi stock exchange is also tried on.

The market model is applied to help gauge the expected returns and to illustrate abnormal returns around the event date.

The results established that Saudi Stock Market does not bear semi-strong form of EMH. How efficient is the Saudi market is also reflected through evidence of significant abnormal returns and post-earnings announcement drift around earning announcements dates.

The authors have not used analysts’ forecast as the expected earnings which are the limitation. As mentioned earlier, the authors used the quarterly earnings of the previous year as a proxy and that proxy could have been replaced by analysts’ forecast. Another limitation is that the trading volume in the event window is not considered.

The behavior of Saudi capital market is of much concern, and the study of this with a perspective of EMH is the significance of this paper.

All stakeholders closely watch earnings announcements and its share price movement around the announcement date. Recently, Saudi Arabia has opened its doors to foreign investors, and big foreign investors are going to enter into Saudi capital market, and after their entry, the behavior of market could be different. In the authors’ opinion, this is the right time to study the efficiency of Saudi market before the entry of foreign investors.

This study is based on the gap created by EMH of Saudi market using event methodology, observed in the existing literature, and it will be a contribution to literature.

This paper tests the information efficiency of the Chinese stock market to judge if it contravenes the Fama (1965) efficient market hypothesis. Following China’s stock market reforms the market has grown in international importance, however many find information difficult to obtain and interpret.

The relative importance of earnings announcements is quantified using cross-sectional regressions of calendar-year annual returns R_i on returns in the four quarterly earnings announcement windows return R_j. The metric developed by Ball and Shivakumar (2008) and Basu et al. (2013) is used to determine the level of new information contained in earnings announcements.

Analysis reveals earnings announcements contain little new information of value, thus demonstrating the Chinese markets are not informationally efficient. Therefore, investors cannot automatically assume assets are always correctly priced, as they are in other established markets.

Major structural changes were made to Chinese equity markets in 2004, with the introduction of the Qualified Foreign Institutional Investors scheme. At the same time, firms were required to make earnings announcements on a quarterly basis. This paper is the first to test the impact of these changes on the information value of earnings announcements since the changes.

The purpose of this paper is to investigate the relationship between investors' divergence of opinions and the asset prices of foreign stocks and also examine the effect of home market country-level factors on the influence of divergency of opinions on stock price.

The authors employ panel data estimation with fixed effects to examine the host market response in divergent opinions to the earnings announcements. The paper uses the American Depositary Receipts (ADRs) of 42 countries from 1985 to 2011.

The authors find a negative relationship between differences of opinions and excess quarterly earnings announcement returns, and investors do process information asymmetrically based on good and bad earnings shocks. In addition, the authors find the negative relationship between divergent opinions and excess earnings announcement returns in ADRs is more pronounced in countries with short-sales restrictions, while other home-market country-level factors – the enforcement of insider trading law, legal origin, investor protection and rating on accounting standard – do not influence the relationship between investors' divergency of opinion and stock returns.

This paper is among the first to bring asymmetric effects on convergence in Miller framework and enhance the understanding of price convergence documented in Miller (1977). In addition, this study incorporates home-market country-level factors in explaining the relationship between investors' divergency of opinions and stock returns.

This paper aims to examine the characteristics of firms that voluntary disclose generally accepted accounting principals (GAAP)-compliant statements of income, statement of cash flows (SCF) and balance sheet (BS) concurrently with quarterly earnings releases. Cardinal motivation of the paper stems from the increasing demand over the past decade by professional analysts and the Securities and Exchange Commission for concurrent disclosure of GAAP-compliant financial statements with earnings’ announcements.

Using hand-collected archival data, a random sample was identified as disclosing GAAP-compliant SCF and BS with their quarterly earnings releases compared to a control sample identified as non-GAAP-compliant disclosing firms during the 36-month period of 2009-2011, and several hypotheses are tested to determine managements’ incentives to disclose GAAP-compliant versus non-GAAP financials with their earnings releases.

The results in this paper suggest that debt financing, corporate governance, operating performance, earnings volatility, industry membership (such as technology and more research and development-intensive) and complexity of operations (number of segments) are significant characteristics of firms electing to concurrently disclose GAAP-compliant SCF and BS with earnings releases.

The findings discussed in this paper are of special interest to financial reporting policymakers, financial analysts, firm managers and stakeholders and academics.

The voluntary disclosure literature on quarterly earnings releases is extended by differentiating between GAAP-compliant and non-GAAP-compliant voluntary disclosers. The specific findings of this study may provide valuable input to policymakers as they study prevailing voluntary disclosure rules and practices.

Thomson financial database reports a monthly consensus measure of analysts’ forecasts in the third week of every month, and firms’ earnings announcement dates are usually different from the last consensus calculation date. Thus, there is a gap between the last consensus calculation date and the earnings announcement date of firms. This study aims to address the question: “Do analysts issue forecasts that are slightly higher than the consensus number to increase the accuracy of their forecasts?”

This study is based on a sample of 91,172 quarterly earnings forecasts of various firms from 1990 to 2007 made between the last consensus calculation date and quarterly earnings announcement date. Descriptive statistics and statistical tests were used to analyze the data.

The findings propose that contrary to expectation, analysts’ forecasts between the last consensus calculation date and earnings announcement date are smaller than the consensus number. Also, the forecasts made between the last consensus and earnings announcement date is not as informative as forecasts made at other times as they could merely reflect the analysts’ herding behavior resulting from their career concerns.

This study provides a link between the literature that studies firms’ meet or beat analysts’ earnings phenomenon and analysts’ forecast decision-making context. This study also provides useful implications for the literature on the information content of analysts’ forecasts.