The Role of Convex Equity Incentives in Managers’ Forecasting Decisions

Author(s):  
Young Jun Cho ◽  
David Tsui ◽  
Holly Yang

Prior literature suggests that voluntary disclosures of forward-looking information tend to lead to capital market benefits, but these disclosures may also result in negative capital market consequences if subsequent performance falls below expectations. We, therefore, hypothesize that convex equity incentives, which reward managers for stock price gains while limiting their exposure to losses, should promote greater voluntary forward-looking disclosure. Consistent with our hypothesis, we find a significantly positive association between equity incentive convexity and forecast issuance and frequency. We also find that the positive association is more pronounced for firms with higher sales volatility and managers with shorter tenure, in which cases managers are more concerned with missing their own forecasts. Our study suggests that the risks arising from providing voluntary disclosures are important considerations in managers’ disclosure decisions.

2020 ◽  
Vol 39 (2) ◽  
pp. 1-26
Author(s):  
Jeffrey L. Callen ◽  
Xiaohua Fang ◽  
Baohua Xin ◽  
Wenjun Zhang

SUMMARY This study examines the association between the office size of engagement auditors and their clients' future stock price crash risk, a consequence of managerial bad news hoarding. Using a sample of U.S. public firms with Big 4 auditors, we find robust evidence that local audit office size is significantly and negatively related to future stock price crash risk. The evidence is consistent with the view that large audit offices effectively detect and deter bad news hoarding activities in comparison with their smaller counterparts. We further explore two possible explanations for these findings, the Auditor Incentive Channel and the Auditor Competency Channel. Our empirical tests offer support for both channels. JEL Classifications: G12; G34; M49.


2021 ◽  
Author(s):  
Dichu Bao ◽  
Yongtae Kim ◽  
Lixin (Nancy) Su

The Securities and Exchange Commission (SEC) allows firms to redact information from material contracts by submitting confidential treatment requests, if redacted information is not material and would cause competitive harm upon public disclosure. This study examines whether managers use confidential treatment requests to conceal bad news. We show that confidential treatment requests are positively associated with residual short interest, a proxy for managers’ private negative information. This positive association is more pronounced for firms with lower litigation risk, higher executive equity incentives, and lower external monitoring. Confidential treatment requests filed by firms with higher residual short interests are associated with higher stock price crash risk and poorer future performance. Collectively, our results suggest that managers redact information from material contracts to conceal bad news.


2018 ◽  
Vol 18 (1) ◽  
pp. 1-26 ◽  
Author(s):  
Matt Bjornsen ◽  
Chuong Do ◽  
Thomas C. Omer

ABSTRACT This study investigates how religiosity (i.e., the strength of religion) differences across countries influence an important characteristic of financial reporting, accounting conservatism. Prior literature suggests that religious individuals are more risk averse and have higher ethical standards, while accounting conservatism has been shown to reduce various risks to the firm (e.g., bankruptcy and stock price crashes) at the expense of higher reported earnings. We find that managers in more religious societies report more conservatively. Specifically, our cross-country analysis reveals that firms headquartered in countries with higher levels of religiosity exhibit, on average, higher accounting conservatism in financial reporting. This positive association is stronger in countries following IFRS or U.S. GAAP, and weaker in countries with a high degree of uncertainty avoidance, strong legal enforcement, and countries with greater numbers of religions. JEL Classifications: G34; M41; Z12. Data Availability: Data are available from the public sources cited in the text.


2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.


2020 ◽  
Author(s):  
Jiao Jing ◽  
Linda A. Myers ◽  
Jeffrey Ng ◽  
Lixin (Nancy) Su

Author(s):  
Mirosław Wasilewski ◽  
Marta Juszczyk

The aim of the study was to investigate the investors’ opinions concerning the usefulness of behavioral factors for investment decisions. The research was carried out in the group of 100 investors, using the services of five brokerages with a long history of operation. The results of the research show that people’s psychological conditions and sentiment in the stock market play an important role in the decision-making process of investors in the capital market. The importance of this factor increased with the length of the investment period. The emotional states of people and their psychological conditions affect the stock price volatility. However, the complexity of the determinants of stock prices makes the market value of stocks can be affected by many factors at the same time and investors seem aware of this.


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