Influence of firm size and firm age on classification shifting: an empirical study on listed firms in India

Author:

Bansal Manish

Abstract

Purpose Prior studies document that managers engaged in shifting of non-operating revenue to operating revenue (revenue shifting) and shifting of operating expenses to non-operating expenses (expense shifting (ES)) within income statement to report inflated operating profits of firms. This study aims to identify the factors affecting revenue shifting and ES. Design/methodology/approach The operating revenue model (Malikov et al., 2018) and the core earnings expectation model (McVay, 2006) are used for measuring revenue shifting and ES, respectively. The panel data regression models are used to analyze the data for this study. Findings The study results show that large and old firms are engaged in revenue shifting, whereas small and young firms prefer ES over revenue shifting for reporting inflated operating profits. These results imply that firms choose the shifting strategy based on relative advantage and ease in execution. The results are robust after controlling for accruals earnings management, real earnings management and endogeneity bias. Practical implications It suggests investors minutely investigate the operating performance metrics of initial public offering firms that are relatively small and young while buying their shares. Besides, findings suggest accounting standard setters make more mandatory disclosure requirements for recording expense and revenue items in the income statement to curb this corporate misfeasance of classification shifting. Originality/value This is among the earlier attempts to identify firm-specific factors that incentivize firms to prefer one form of shifting over another. Second, the study jointly examines both forms of shifting by taking a uniform sample of firms over the same period. Most of the prior studies have examined one form at a time.

Publisher

Emerald

Subject

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

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