Volume 10, 2021
TABLE OF CONTENTS
Does Investors’ Divergence of Opinion Affect Stock Mispricing?
Diogo Silva*, António Cerqueira, Elísio Brandão
School of Economics and Management, University of Porto
The main purpose of this study is to address the association between investors’ divergence of opinion (DIVOP) and stock mispricing for UK firms listed in the London Stock Exchange Market. Previous research on this topic has provided mixed results. Some studies provide evidence consistent with the overpricing hypothesis, which indicates that DIVOP leads to overpricing because the market overweighs the most optimistic valuations, since optimistic investors can always buy a stock but pessimistic investors can only sell a stock if they already own it or need rely on short-selling, which has costs. Other studies support the underpricing hypothesis, which proposes that DIVOP works as a price risk factor that generates underpricing. We develop an empirical analysis that do not depend on the interpretation of abnormal future stock returns to assess contemporaneous mispricing. We use five explicit measures of mispricing. Also, to safeguard the development of a comprehensive study, we use three kinds of proxies of DIVOP, based on idiosyncratic volatility, dispersion in analysts’ forecasts and unexpected trading volume. The results show a positive significant association between DIVOP and stock mispricing on a yearly basis. This association is stronger for underpriced stocks, which is consistent with the underpricing hypothesis, and indicates that DIVOP signals risk. An implication of this study is that firms have incentives to provide high-quality and explicit information to limit DIVOP and avoid being underpriced.
Keywords: Divergence of opinion, Stock mispricing
JEL classification: G14
Mandatory IFRS Adoption and Real/Accruals Bases Earnings Management in the UK
Mohammad I. Almaharmeh 1, Adel Almasarwah* 2, Ali Shehadeh 1
1 The University of Jordan/Aqaba, 2 The Hashemite University
Here, the link between the mandatory adoption of International Financial Reporting Standards (IFRS) and Real Earnings Management (REM), as well as Accrual Earnings Management (AEM), will be examined for non-financial listed firms in the London Stock Exchange. Robust regression analysis of the mandatory IFRS adoption will be conducted on the panel data, as well as earnings management using three AEM models and three REM models. Mixed results with respect to the qualities of AEM and REM were notably garnered, with mandatory IFRS adoption positively relating to the Roychowdhury of abnormal cash flow and the Roychowdhury of abnormal production. Meanwhile, the Roychowdhury of abnormal discretionary expenses, standard Jones, and Kothari negatively related to mandatory IFRS adoption, whilst modified Jones showed an insignificant relation to mandatory IFRS adoption. Changes in IFRS adoption and guidelines for UK firms may have an impact on AEM and REM, and, as predicted, mandatory IFRS adoption mostly affects the Kothari model followed by the standard Jones model as proxies for accounting earnings quality.
Keywords: Mandatory IFRS, Accruals earnings management (AEM), Real earnings management (REM), Robust Regression
JEL codes: M41, C33