Fair value accounting impact on decision-usefulness of accounting information: evidence from accounting standards update 2016–01 on the USinsurance industry

Author:

McGregor Scott

Abstract

Purpose The purpose of this study is to evaluate the impact of ASU 2016–01 on the predictive value, the confirmatory value and the value relevance of earnings. One of the key provisions of ASU 2016–01 is the requirement that all changes in unrealized gains and losses on all equity securities are recognized in income instead of other comprehensive income (OCI) as under prior guidance (SFAS 115). Because many companies in the insurance industry are large holders of equity securities, the sample for this study consists of firms from the insurance industry. Design/methodology/approach The author compares the change in earnings volatility and analysts’ forecast error for the periods before and after adoption of ASU 2016–01, and the relationship between the percentages of assets invested in equity securities for both earnings volatility and analysts’ forecast error. Further, the author tests the price reaction at the time of the release of earnings using an event study. The author also tests the value reliance of earnings measured by the correlation of earnings and stock prices, as well as the change in earnings and stock returns. The association between investment gain/loss components of earnings, and OCI, with stock prices and returns is tested for value relevance. Findings The findings of this study show that earnings volatility and analysts’ forecast errors increased in the period after adopting ASU 2016–01 and an initial overreaction to earnings releases. Further, the investment gain/loss components of earnings and OCI are not value-relevant in this study and including unrealized gains/losses on equity securities in income decreased value relevance of earnings in the post-adoption period, particularly for firms with large equity investment portfolios. Research limitations/implications This study is limited to one industry and only represents the impact of ASU 2016–01 on that industry. Thus, there are opportunities to extend the research to other industries. Furthermore, the time-period of study since adopting ASU 2016–01 is limited to only two years and with the passage of time, a greater sample of post-ASU 2016–01 will be available for testing. Practical implications Standard setters considering recognizing fair value changes on all investment securities in income should consider the findings of this study. Further, industry participants affected by ASU 2016–01 should consider improving explanation of earnings to mitigate the initial misunderstanding of earning announcements found in this study. Originality/value To the best of the author’s knowledge, this is the first study on the effects of ASU 2016–01 on volatility of earnings, earnings forecast errors, market reactions to earnings releases and the value relevance of earnings. This paper fills a gap in prior research by studying the effects of fair value on reported earnings, which is limited in prior research. This study contributes to the growing field of research on fair value accounting.

Publisher

Emerald

Subject

Economics, Econometrics and Finance (miscellaneous),Accounting,Management Information Systems

Reference81 articles.

1. Fair value accounting and value relevance of equity book value and net income for European financial firms during the crisis;Journal of International Accounting, Auditing and Taxation,2020

2. How fair value information changes portfolio rebalancing behavior in the property and casualty industry;Journal of Accounting and Finance,2016

3. Comprehensive income: who’s afraid of performance reporting;The Accounting Review,2010

4. The location of comprehensive income reporting – does it pass the financial analyst revision test?;Accounting Research Journal,2018

5. Standard-setting measurement issues and the relevance of research;Accounting and Business Research,2007

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3