The Agricultural and Food Policy Center (AFPC) at Texas A&M University develops and maintains data to simulate 91 representative crop, dairy, and livestock operations in major production areas of 30 states. The chief purpose of this analysis is to project the economic viability of those farms by...

We add to the debate about whether models of earnings dynamics should allow for unobservable heterogeneity in expected earnings growth rates by examining implications for a statistic originally proposed to estimate the variance of persistent earnings shocks. While that statistic is unbiased...

We predict earnings for forecast horizons of up to five years by using the entire set of Compustat financial statement data as input and providing it to state-of-the-art machine learning models capable of approximating arbitrary functional forms. Our approach improves prediction one year ahead...

This study explores how IFRS adoption is associated with analysts' forecast accuracy, optimism, and dispersion in Saudi Arabia. Drawing on data from publicly listed firms from 2013 to 2020, we assess changes in forecasting behavior surrounding the IFRS transition, accounting for firm-specific...

This study re-examines the ongoing debate over corporate disclosure frequency amid renewed calls to replace quarterly with semiannual reporting in U.S. markets. While traditional theories hold that frequent disclosure enhances informational efficiency by reducing asymmetry, emerging evidence...

Research background: Earnings is essential information for investors. Therefore, the quality of earnings influences optimal investment decisions. Poor earnings quality leads to wrong investment decisions and increases the risk of stock crashes, which are detrimental to shareholder prosperity....

Delivering information through regular or temporary reports is not the final step in disclosure. Using the Word2Vec model, we assess the interaction quality of earnings communication conferences, and find that high interaction quality mitigates the post-earnings-announcement drift (PEAD)....

We investigate how the accounting treatment of intangible assets on managers' likelihood of issuing voluntary earnings guidance (MEF). We find that unrecognized intangibles (immediately expensed) are negatively associated with MEF issuance, while recognized intangibles (capitalized) show a...

Corruption within corporate entities continues to be a relatively overlooked yet significant issue to date. This study seeks to investigate the impact of corruption on the quality of earnings. The sample comprises 846 firm-years listed on the Indonesian Stock Exchange. Earnings quality...

Several prior studies indicate that financial analysts exhibit systematic underreaction to information; others illustrate systematic overreaction. We assume that cognitive biases influence analysts' behavior and that these misreactions are not systematic, but they depend on the nature of news....

In this study, we find that relative to firms with less media coverage, stock price sensitivity to positive (negative) earnings surprises in earnings announcements of firms with greater media coverage is stronger (weaker). This asymmetry in the effect of media coverage on stock price sensitivity...