scholarly journals A longitudinal analysis for informativeness of earnings announcements in Borsa Istanbul

2019 ◽  
Vol 3 (2) ◽  
pp. 179-187
Author(s):  
Aykut Ahlatcioglu ◽  
Nesrin Okay
Keyword(s):  
Information Content ◽  
Time Trend ◽  
Information Dissemination ◽  
Emerging Market ◽  
Earnings Announcements ◽  
Information Value ◽  
Data Sets ◽  
Content Type ◽  
Positive Time ◽  
Annual Earnings

Purpose The purpose of this paper is to assess the information value of earnings announcements for the 2007–2017 period in Borsa Istanbul. Design/methodology/approach Abnormal volatility (AVOL) and abnormal absolute return (AAR) in the three-day window around the earnings announcement are used as proxies for information content. A pooled regression of AVOL and AAR is conducted to test for the existence of information content and analyze its time trend along with its determinants. Findings The authors find significantly positive AVOL and AAR which shows that earnings have information content for investors during the sample period. Furthermore, both proxies demonstrate a positive time trend after controlling for various firm characteristics and surprise measures. The authors take this as evidence that overall informativeness of earnings has increased over time. The authors observe that this increase is most prevalent for growth companies and earnings announcements with high absolute surprise. This study provides partial support for the hypothesis that value of earnings announcements has increased after an improvement in information dissemination technology with the inception of the online disclosure platform, KAP. Practical implications Understanding information value of earnings announcements is of interest for companies which prepare earnings reports, regulators who set standards on their content and frequency and investors which make investment decisions based on information released at these announcements. Originality/value There had been few non-US studies related to information value of earnings announcements. The overwhelming majority of these are conducted using limited data sets from the latter part of the last century and only analyze annual earnings announcements. The authors aim to shed light on the subject using a broad and recent sample of quarterly earnings announcements from a major emerging market, Turkey.

Mean reversion in corporate leverage: evidence from India

2019 ◽  
Vol 45 (9) ◽  
pp. 1183-1198
Author(s):  
Gaurav S. Chauhan ◽  
Pradip Banerjee
Keyword(s):  
Capital Structure ◽  
Emerging Market ◽  
Simulated Data ◽  
Mean Reversion ◽  
Developed Countries ◽  
Data Sets ◽  
Debt Ratio ◽  
Testing Strategy ◽  
Content Type ◽  
Financing Behavior

Purpose Recent papers on target capital structure show that debt ratio seems to vary widely in space and time, implying that the functional specifications of target debt ratios are of little empirical use. Further, target behavior cannot be adjudged correctly using debt ratios, as they could revert due to mechanical reasons. The purpose of this paper is to develop an alternative testing strategy to test the target capital structure. Design/methodology/approach The authors make use of a major “shock” to the debt ratios as an event and think of a subsequent reversion as a movement toward a mean or target debt ratio. By doing this, the authors no longer need to identify target debt ratios as a function of firm-specific variables or any other rigid functional form. Findings Similar to the broad empirical evidence in developed economies, there is no perceptible and systematic mean reversion by Indian firms. However, unlike developed countries, proportionate usage of debt to finance firms’ marginal financing deficits is extensive; equity is used rather sparingly. Research limitations/implications The trade-off theory could be convincingly refuted at least for the emerging market of India. The paper here stimulated further research on finding reasons for specific financing behavior of emerging market firms. Practical implications The results show that the firms’ financing choices are not only depending on their own firm’s specific variables but also on the financial markets in which they operate. Originality/value This study attempts to assess mean reversion in debt ratios in a unique but reassuring manner. The results are confirmed by extensive calibration of the testing strategy using simulated data sets.

scholarly journals The impact of earnings-announcement timing on technical analysis signal: The case of Indonesia

2015 ◽  
Vol 18 (2) ◽  
pp. 179
Author(s):  
Dedhy Sulistiawan
Keyword(s):  
Stock Market ◽  
Emerging Market ◽  
Earnings Announcements ◽  
Information Leakage ◽  
Technical Analysis ◽  
Earnings Announcement ◽  
Price Reaction ◽  
Fundamental Information ◽  
Annual Earnings ◽  
The Impact

This study discusses technical analysis signal and earnings-announcements timing. Technical analysis signal is used to capture price reaction around earnings announcement dates. Technical analysis is selected because it is potential for competing information as fundamental information in emerging market, especially in Indonesian stock market. The longer reporting lag will result in a tendency of bigger information leakage which makes price reaction before announcements stronger. That reaction produces a reliable technical analysis signal. By using Indonesian stock market data, the results show that (1) technical analysis signal generates bigger (lower) return for late (earlier) reporting, and (2) reporting lag positively affects the performance of technical analysis signal that emerge before annual earnings announcements. These findings indicate a tendency of bigger information leakage for companies that delay earnings announcements. It contributes to building a bridge between technical analysis and earnings-announcement timing studies.

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