Document Type : Research Paper
Authors
1 Assistant Professor, Faculty of management and accounting, University of Allameh Tabatabai
2 Assistant Professor of Accounting in department of management and Accounting Allameh tabatabai university
3 Department of Accounting, Faculty of Management and Accounting, Allameh Tabatabai’ University, Tehran, Iran
4 M.A. Student, Department of Accounting, Faculty of Management & Accounting, Allameh Tabataba'i University, Tehran, Iran.
Abstract
Abstract
This study examines the effect of classification shifting–based earnings management on the risk of stock price crash. Classification shifting increases operating profit by reallocating operating expenses to non-operating items without altering net income, making it a low-cost tool for concealing negative performance news and thereby increasing crash risk. The sample consists of 129 listed companies over the period 2012–2023 (with additional data from 2007 for classification-shifting calculations). Crash risk is measured using negative return skewness and down-to-up volatility. The findings show that classification shifting has a significant negative relationship with crash risk in both measures, indicating a higher probability of crash when such shifting is used more extensively. Moreover, a larger gap between operating profit and net income weakens this negative relationship. Cash flow volatility and information asymmetry exhibit a positive effect on crash risk only under the negative skewness measure and weaken the main relationship, whereas financial leverage shows no significant effect.
Keywords: Reclassification-based earnings management, stock price crash risk, information asymmetry, cash flow volatility.
Introduction
Earnings management is used by managers to influence financial reports, creating a favorable short-term image but increasing long-term stock price crash risk. A less examined method is classification shifting, where operating expenses are moved to non-operating items to inflate operating income without affecting net income, making it difficult for investors to detect. First highlighted by McVay (2006), this method is influential because investors generally rely more on operating income than on net income.
Research shows that overstated operating earnings mislead investors and can raise crash risk. In Iran, although classification shifting has been introduced in prior studies, its effect on stock price crash risk has received limited attention. Weak auditor oversight, low implementation cost, and the lack of clear classification standards allow firms to improve the appearance of financial performance by reallocating income-statement items.This study investigates how classification shifting affects stock price crash risk among firms listed on the Tehran Stock Exchange and examines moderating factors such as information asymmetry, cash flow volatility, and capital structure. It presents the theoretical background, research models, and empirical results.
Methods & Material
The present study examines the relationship between earnings management through classification shifting and stock price crash risk, with the moderating role of information asymmetry, cash flow volatility, and capital structure. Accordingly, this research is descriptive–correlational in nature. In terms of purpose, it is an applied study. The required data include items from financial statements and the accompanying notes available in the “Rahavard Novin” comprehensive database and the comprehensive corporate information database on the official website of the Tehran Stock Exchange, which were extracted as needed. The collected data were organized using Excel in the form of data files, after which the relevant variables were calculated and ultimately analyzed using EViews software.
The statistical population of the study consists of all companies listed on the Tehran Stock Exchange during the years 2012 to 2023and the research sample includes 129 companies.
Findings
The results showed that classification shifting has a negative and significant relationship with stock price crash risk, meaning that greater use of this method increases the likelihood of a crash. Moreover, an increase in the gap between operating income and net income weakens the strength of this relationship. Cash flow volatility and information asymmetry have a positive effect on crash risk only when using the negative skewness measure, thereby weakening the main relationship, whereas capital structure (financial leverage) had no significant role.
Conclusion & Results
This study investigates the relationship between earnings management through classification shifting and stock price crash risk in the Iranian capital market, considering the moderating roles of cash flow volatility, capital structure, and information asymmetry. The results indicate that, unlike international studies, classification shifting in Iran has a negative and significant effect on crash risk, as managers primarily use it to smooth earnings and present a stable performance, rather than to hide bad news. The gap between operating and net income weakens this negative effect, as lower earnings quality reduces the credibility of reclassification signals. Cash flow volatility increases uncertainty and weakens the stabilizing effect of classification shifting, raising crash risk, whereas financial leverage shows no significant impact. Information asymmetry has a direct positive effect on crash risk but does not significantly moderate the relationship between classification shifting and crash risk. Overall, in the Iranian market, classification shifting functions as a stabilizing tool, smoothing earnings, reducing informational uncertainty, and lowering stock price crash risk, while cash flow volatility and low earnings quality can weaken its effectiveness.
Keywords
- Reclassification-based Earnings Management
- Information Asymmetry
- Cash Flow Volatility
- Capital Structure
- Stock Price Crash Risk
Main Subjects
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