Earnings Management via Classification Shifting and Stock Price Crash Risk
Pages 1-41
https://doi.org/10.22054/qjma.2026.91667.2762
Mozaffar Jamalianpour, Mndana Taheri, Mahdi Nikravesh, Shirin Khoshnam
Abstract This study examines the effect of classification shifting earnings management on stock price crash risk. Classification shifting involves reclassifying operating expenses as non-operating items, thereby inflating operating income without affecting net income. As a relatively low-cost earnings management technique, it may enable managers to conceal bad news and increase the likelihood of stock price crashes. The research sample consists of financial data from 129 firms listed on the Tehran Stock Exchange over the period 2012–2023 (1391–1402 in the Iranian calendar). Stock price crash risk was measured using two indicators: negative conditional skewness of stock returns and down-to-up volatility. The results indicate that classification shifting is negatively and significantly associated with stock price crash risk. Furthermore, a greater gap between operating income and net income weakens this negative relationship. The study also recognizes that examining only the direct relationship between classification shifting and stock price crash risk is insufficient, as theoretical and empirical evidence suggests that the effects of earnings management on market reactions depend considerably on firms’ information environments and financial conditions. Accordingly, several moderating variables were incorporated to provide a deeper understanding of the mechanisms underlying this relationship. The results show that cash flow volatility and information asymmetry have positive effects on stock price crash risk and weaken the main relationship only when crash risk is measured using negative conditional skewness. In contrast, capital structure, measured by financial leverage, has no statistically significant moderating effect.
Introduction
Earnings management is a common practice in accounting and finance through which managers exercise discretion over financial reporting to influence the way stakeholders perceive a firm’s financial performance. Although some earnings management practices may help managers communicate information about a firm’s underlying economic conditions, opportunistic practices can reduce financial reporting transparency and mislead investors. One potential consequence of opportunistic earnings management is stock price crash risk, which refers to the likelihood of an abrupt and substantial decline in a firm’s stock price. Stock price crashes may occur when managers conceal unfavorable information over time and allow negative news to accumulate until it is eventually released to the market.
One relatively less examined form of earnings management is classification shifting. This practice involves reclassifying operating expenses as non-operating expenses to increase reported operating income without changing net income. McVay (2006) introduced classification shifting as a means through which managers can manipulate the presentation of financial performance while complying with accounting rules governing the calculation of net income. Since investors and financial analysts often place considerable emphasis on operating income when evaluating firms’ performance, classification shifting may influence their perceptions of profitability and operational efficiency.
Although classification shifting does not directly affect net income, it can distort the information conveyed by the income statement. By presenting higher operating income, managers may create a more favorable impression of a firm’s operating performance and potentially conceal underlying weaknesses. If investors rely heavily on operating income and fail to identify the reclassification of expenses, they may underestimate the firm’s financial difficulties. Such information distortion could contribute to the accumulation of unfavorable information and, under certain circumstances, increase stock price crash risk. However, the consequences of classification shifting may depend on firms’ financial conditions, reporting environments, and the incentives underlying managerial decisions.
The relationship between classification shifting and stock price crash risk may be particularly important in emerging markets, where institutional arrangements, financial reporting practices, and monitoring mechanisms differ from those in developed economies. In Iran, classification shifting has received attention in prior accounting research, but its implications for stock price crash risk remain insufficiently understood. Factors such as the relatively low direct cost of reclassification, weaknesses in monitoring mechanisms, and limitations in the consistent application of classification practices may create opportunities for managers to influence reported operating performance.
Nevertheless, classification shifting does not necessarily have the same consequences in every institutional setting. Managers may use this practice not only to conceal unfavorable information but also to smooth the presentation of financial performance or signal operational stability. Consequently, its relationship with stock price crash risk is an empirical question that requires investigation within the specific characteristics of the Iranian capital market.
Furthermore, the effect of classification shifting on crash risk may depend on firms’ information environments and financial characteristics. Information asymmetry can prevent investors from accurately assessing managerial decisions and the quality of reported earnings. Cash flow volatility may increase uncertainty about a firm's future financial performance and make it more difficult for investors to distinguish temporary fluctuations from underlying financial problems. Capital structure, particularly financial leverage, may also influence firms’ vulnerability to adverse financial developments by affecting their debt obligations and financial flexibility. These factors may therefore influence the strength or direction of the relationship between classification shifting and stock price crash risk.
Against this background, the present study examines the relationship between earnings management through classification shifting and stock price crash risk among firms listed on the Tehran Stock Exchange over the period 2012–2023. It also investigates whether the gap between operating income and net income, cash flow volatility, information asymmetry, and financial leverage influence this relationship. By examining these factors simultaneously, the study contributes to a better understanding of the circumstances under which classification shifting is associated with stock price crash risk in an emerging capital market.
Methods & Materials
This study employs a descriptive-correlational research design and is applied in terms of its purpose. It investigates the association between earnings management through classification shifting and stock price crash risk, with particular attention to the moderating roles of firms’ financial and informational characteristics.
The statistical population consists of companies listed on the Tehran Stock Exchange during the period 2012–2023. After applying the sample selection criteria, the final sample comprises 129 firms. To calculate the classification-shifting measures, additional financial information covering the period 2007–2012 was collected where necessary. The use of historical data helps provide the observations required to estimate the relevant measures and construct the research variables.
The required financial data were obtained from the Rahavard Novin database and the corporate information and financial statements published through the official information disclosure system of the Tehran Stock Exchange. The data were initially organized and processed in Microsoft Excel. Subsequently, the research variables were calculated, and the statistical analyses were conducted using EViews.
The dependent variable is stock price crash risk, which is measured using two commonly employed indicators: negative conditional skewness of stock returns and down-to-up volatility. Negative conditional skewness captures the asymmetry of a firm’s return distribution and reflects the tendency toward extreme negative returns. A more negative value generally indicates a greater likelihood of unusually large negative stock returns. Down-to-up volatility measures the relative variability of negative and positive firm-specific returns, providing an alternative indicator of crash-related risk. Using both measures allows the relationship between classification shifting and stock price crash risk to be assessed from different statistical perspectives.
The main explanatory variable is earnings management through classification shifting. This practice is identified through the reclassification of operating expenses into non-operating items, which increases reported operating income without changing net income. The analysis examines whether variation in the extent of classification shifting is associated with subsequent stock price crash risk.
In addition to the principal relationship, the study considers the difference between operating income and net income as a factor that may influence the association between classification shifting and crash risk. A larger gap between these two measures may indicate that operating income conveys a substantially different picture of financial performance from net income. However, this difference is not, by itself, conclusive evidence of earnings manipulation, because legitimate non-operating gains and losses may also contribute to the gap.
Three additional firm characteristics are examined: cash flow volatility, information asymmetry, and financial leverage. Cash flow volatility represents fluctuations in firms’ cash-generating capacity and captures an important dimension of financial uncertainty. Information asymmetry reflects differences in the information available to corporate insiders and external investors. Financial leverage represents the extent to which a firm relies on debt financing and is used to assess whether capital structure influences the relationship between classification shifting and crash risk.
The empirical analysis evaluates the relationship between classification shifting and each crash-risk measure and examines the potential moderating effects of the selected variables. The use of two alternative dependent-variable measures provides a robustness perspective by allowing the consistency of the findings to be assessed across different operationalizations of stock price crash risk.
Findings
The empirical results reveal a negative and statistically significant relationship between classification shifting and stock price crash risk. This finding indicates that, within the study sample, greater classification shifting is associated with lower measured crash risk. The result differs from the expectation that classification shifting necessarily increases crash risk by concealing unfavorable information. Instead, it suggests that the association between this earnings management technique and stock price crash risk may depend on the institutional and informational characteristics of the market under investigation.
One possible interpretation is that, in the Iranian capital market, classification shifting may be associated with managerial efforts to present more stable operating performance. However, the negative association alone does not establish that classification shifting genuinely reduces crash risk or that managers primarily use it to smooth earnings. Other firm characteristics, managerial incentives, or institutional factors may contribute to the observed relationship. Accordingly, the finding should be interpreted as an empirical association rather than definitive evidence of a causal or stabilizing effect.
The results also indicate that the gap between operating income and net income weakens the negative relationship between classification shifting and stock price crash risk. This finding suggests that the association between classification shifting and crash risk becomes less pronounced when operating income and net income diverge to a greater extent. A wider gap may make reported operating performance less representative of the firm’s overall profitability and reduce the usefulness of operating income as an indicator of financial condition. Nevertheless, because this gap may reflect both legitimate non-operating items and reporting choices, its interpretation requires caution.
The analysis further shows that cash flow volatility has a positive effect on stock price crash risk when crash risk is measured using negative conditional skewness. In addition, cash flow volatility weakens the negative relationship between classification shifting and crash risk under this measure. This result is consistent with the possibility that uncertainty in cash-generating capacity reduces the strength of the observed negative association between classification shifting and crash risk. However, this effect is not established consistently across both crash-risk measures.
Information asymmetry exhibits a similar pattern. Its positive association with crash risk is statistically significant when negative conditional skewness is used as the dependent variable, and it weakens the negative relationship between classification shifting and crash risk under this specification. This finding highlights the importance of the information environment in understanding crash risk. When external investors have less information about a firm's underlying economic conditions, assessing the quality and implications of reported operating income may become more difficult. Nevertheless, the lack of a consistent effect across both crash-risk measures indicates that the results should not be generalized beyond the specifications supported by the empirical evidence.
In contrast, financial leverage does not exhibit a statistically significant moderating effect on the relationship between classification shifting and stock price crash risk. This suggests that, within the sample and models examined, differences in firms’ debt financing do not significantly alter the observed association between classification shifting and crash risk. This result does not imply that leverage is irrelevant to financial risk more broadly; rather, its moderating role is not supported by the present empirical findings.
Taken together, the findings demonstrate that the relationship between classification shifting and stock price crash risk is not uniform across firms’ financial and informational conditions. The negative association identified in the main analysis is less pronounced in the presence of greater cash flow volatility and information asymmetry when crash risk is measured using negative conditional skewness. The moderating role of the operating-income-to-net-income gap further suggests that the relationship depends on the broader context in which reported operating performance is evaluated.
Conclusion & Results
This study investigates the relationship between earnings management through classification shifting and stock price crash risk among firms listed on the Tehran Stock Exchange during 2012–2023. It also examines the roles of the gap between operating income and net income, cash flow volatility, information asymmetry, and financial leverage in shaping this relationship.
The main finding is a negative and statistically significant association between classification shifting and stock price crash risk. This result differs from the conventional argument that classification shifting necessarily increases crash risk by allowing managers to conceal unfavorable information. One possible explanation is that the incentives and consequences of classification shifting differ across institutional settings. In the Iranian capital market, the observed relationship may reflect the way firms use income-statement classification to present operating performance, together with other characteristics of the firms and their reporting environments. However, the evidence does not establish that classification shifting improves financial reporting quality or causally reduces the likelihood of a stock price crash.
The results also demonstrate that the gap between operating income and net income weakens the negative association between classification shifting and crash risk. This finding underscores the importance of considering the broader composition of reported earnings rather than relying exclusively on operating income when assessing corporate performance. Investors and financial analysts should examine the relationship between operating and net income and consider whether differences arise from ordinary business activities or from discretionary classification choices.
Moreover, cash flow volatility and information asymmetry are positively associated with crash risk and weaken the negative relationship between classification shifting and crash risk when negative conditional skewness is used as the dependent variable. These results indicate that financial uncertainty and limitations in the information environment may be relevant to understanding the relationship between earnings presentation and stock price crash risk. However, because these effects are not consistently observed across both crash-risk measures, their implications should be interpreted with appropriate caution.
Financial leverage, by contrast, does not significantly moderate the relationship between classification shifting and stock price crash risk. This suggests that its role in this particular relationship may be less pronounced than the roles of cash flow volatility and information asymmetry within the models examined.
Overall, this study contributes to the literature by providing evidence on the relationship between classification shifting and stock price crash risk in an emerging capital market. Its findings highlight the importance of examining earnings-management practices in their institutional context and of considering alternative measures of crash risk. For investors, auditors, financial analysts, and regulators, the results emphasize the value of evaluating operating income alongside net income, assessing the quality of financial disclosures, and paying attention to firms with volatile cash flows or greater information asymmetry.
Future research could investigate the mechanisms underlying the negative association between classification shifting and crash risk, distinguish opportunistic reclassification from classification choices associated with legitimate differences in business activities, and examine whether the results remain robust across alternative measures of classification shifting, longer observation periods, and different institutional settings. Such extensions would help clarify whether the observed relationship reflects managerial reporting strategies, differences in firm characteristics, or other features of the capital market.













