The Effects of a Public Indicator of Accounting Aggressiveness on Managers' Financial Reporting Decisions

Document Type

Article

Publication Date

6-26-2019

Publication Title

Managerial Auditing Journal

Volume

34

Issue

8

First page number:

986

Last page number:

1007

Abstract

Purpose – The purpose of this paper is to examine how publicly available accounting risk metrics influence the aggressiveness of managers’ discretionary accounting decisions by making those decisions more transparent to the public. Design/methodology/approach – The experiment used a 2 x 3 between-participants design, randomly assigning 122 financial reporting managers among conditions in which we manipulated whether the company was currently beating or missing analysts’ consensus earnings forecast and whether an accounting risk metric was indicative of low risk, high risk or a control. Participants chose whether to manage company earnings by deciding whether to report an amount of discretionary accruals that was consistent with the “best estimate” (i.e. no earnings management) or an amount above or below the best estimate. Findings – Aggressive (income-increasing) earnings management is deterred when managers believe such behavior will cause their firm to be flagged as aggressive (i.e. high risk) by an accounting risk metric. Some managers attempt to “manage” the risk metric into an acceptable range through conservative (incomedecreasing) earnings management. These results suggest that by making the aggressiveness of accounting choices more transparent, public risk metrics may reduce one type of earnings management (incomeincreasing), while simultaneously increasing another (income-decreasing). Research limitations/implications – The operationalization of the manipulated variables of interest may limit the study’s generalizability.

Keywords

Earnings management; Accounting risk metric; Aggressive accounting; Financial reporting transparency; Fraud risk indicator

Disciplines

Accounting | Business Administration, Management, and Operations

Language

English

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