Statistical studies of financial reports and stock markets

Purpose - The purpose of this paper is to examine the usefulness of statistical studies of financial reports and stock market data for improving corporate financial reports. Design/methodology/approach - Analytical writing. Findings - It is often claimed that statistical studies of co-variation betw...

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Bibliographic Details
Main Author: Shyam Sunder
Format: Article
Language:English
Published: Emerald Publishing 2017-11-01
Series:Journal of Capital Markets Studies
Subjects:
Online Access:https://www.emeraldinsight.com/doi/pdfplus/10.1108/JCMS-10-2017-006
Description
Summary:Purpose - The purpose of this paper is to examine the usefulness of statistical studies of financial reports and stock market data for improving corporate financial reports. Design/methodology/approach - Analytical writing. Findings - It is often claimed that statistical studies of co-variation between financial and stock market data can help set better financial reporting policy. Such co-variation, even when it can be estimated, tells us little about which financial reports help to make better financial decisions. A case in support of such claims remains to be made. Practical implications - The readers are advised to be extremely careful in drawing inferences from studies of co-variation between accounting and stock market data for financial reporting policy. Social implications - Inference from accounting empirical studies to policy needs better rationale to avoid bad policy consequences. Originality/value - This paper raises original questions about policy inferences from a large class of empirical research in accounting.
ISSN:2514-4774