This study aims to analyse, within the scope of publicly listed Spanish companies, whether the mandatory implementation of International Financial Reporting Standards (IFRS) has had an effect on financial analysts' earnings forecasts and investments in non-cross-listed Spanish companies (those...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

This study investigates the association between institutional investors’ ownership and sell-side analysts’ stock recommendations in the context of the heterogeneous nature of institutional investors. Based on a sample of 281 Malaysian public listed companies over the period 2008-2013 (732...

Measuring the information environment of firms using analyst (price) forecast bias and forecast dispersion before listing, we empirically examine the interactive influence of the information environment and market-wide sentiment on the initial returns of initial public offerings (IPOs). We find...

The performance of analysts’ forecasts has attracted increasing attention in recent years. However, as yet, no empirical study has investigated the nexus between the analyst forecast dispersion (AFD) and excess returns surrounding stock market crashes in any depth. This paper attempts to fill...

This study investigates changes in foreign analyst behavior before and after Chinese New Accounting Standards was implemented during 2007. The empirical results show that after the new accounting standards were implemented, forecast error among foreign analysts decreased in both absolute and...

Distinct from the literature on the effects that management earnings forecasts (MEFs) properties, such as point, range and qualitative estimations, have on analyst forecasts, this study explores the effects of selective disclosure of MEFs. Under China’s mandatory disclosure system, this study...

This paper reviews research that uses big data and/or machine learning methods to provide insight relevant for equity valuation. Given the huge volume of research in this area, the review focuses on studies that either use or inform on accounting variables. The article concludes by providing...

We examine the relationship between intangible intensity and the accuracy of analyst forecasts. Using an international sample of 2,200 firms during 2000-2016, we show that analyst accuracy decreases significantly when intangible intensity grows. In exploring the determinants of this effect, we...

Based on a quasi-natural experiment that mandates a subset of listed firms to issue standalone corporate social responsibility (CSR) reports, we examine whether mandatory CSR disclosure improves analysts' information environment. We focus on two properties of analysts' earnings forecasts:...