Abstract
We provide evidence that firms managed by CEOs with high general ability, or broad experience in their background, are more likely to utilize discretionary accruals to manage earnings than CEOs with focused experience. Cross-sectional variation suggests that the mechanism underlying the increased use of discretionary accruals is generalist CEOs’ increased willingness to bear the risk inherent in managing earnings given their enhanced tolerance for failure stemming from outside career options. Importantly, the practice is more pronounced for CEOs of firms with suspect earnings. To better control for unobservable variation between generalists and specialists, we use a propensity score-match sample and entropy balancing to adjust the sample to balance differences between firms with generalists and firms with specialists and firm fixed effects. The evidence suggests that the diversity of CEOs’ experience influences incentives to manage earnings. The increased trend to hire generalist CEOs may be coupled with an unintended increase in the use of discretionary accruals, largely stemming from the outside employment options of these executives.
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Notes
The results in the paper are robust to firm-level clustering.
Our primary control for tenure is the length of service of a CEO at her/his current institution. Another concern may be that results are driven by tenure across all institutions that the CEO has worked at. In unreported results, we find that including this measure has no material impact on the findings.
Some literature suggests that firms do not use writedowns as a way to strategically manage earnings by using discretionary accruals (e.g., Rees et al. 1996). We find evidence of this. Specifically, the coefficient on the level term for writedowns is negative and significant, suggesting that firms do not use writedowns to strategically manage earnings, on average. The interaction suggests that generalists are statistically more likely to utilize writedowns in this way, consistent with the notion that these CEOs are more willing to take risk in managing earnings.
The control variable for managerial ability in the paper is based on raw values. In unreported results, we also find that the results are robust if we use ranked values of managerial ability.
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Acknowledgements
We appreciate feedback from Busra Agcayazi (Discussant), participants at the 2021 Southwest Finance Association Annual Meeting, seminar participants at Washington State University, and anonymous reviewers. We are grateful to Cláudia Custódio, Miguel Ferreira, and Pedro Matos for making the general ability index data available and sharing with us the updated sample. We are grateful to Robert Bird and John Knopf for sharing with us their state-level data on the strength of enforceability of non-competition agreements.
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Appendix: Variable descriptions
Appendix: Variable descriptions
Variable | Description |
---|---|
Big N | Indicator variable equal to one if the audit firm belongs to the Big N audit firms (Compustat BIGN) |
Bonus Compensation | Log of one plus total CEO bonus compensation (Execucomp BONUS) |
Leverage | Total liabilities adjusted to the book value of assets (Compustat [DLC + DLTT]/AT)) |
CEO Age | CEO age (Execucomp) |
CEO Tenure | Number of years as CEO in the current firm (Execucomp) |
First 3 Years | Indicator variable equal to one if it is the CEO’s first three years in his or her current position, and zero otherwise (Boardex) |
GAI Generalist | First factor of applying principal components analysis to five proxies of general managerial ability: past number of positions, number of industries, number of firms, indicator variable for CEO experience, indicator variable for conglomerate experience (Custódio et al. (2013)) Indicator variable equal to one if the CEO’s general ability index is above the yearly median, and zero otherwise (Custódio et al. (2013)) |
Goodwill | An indicator variable equal to one if the impairment of goodwill expense is nonzero, and zero otherwise (Compustat GDWIP) |
Last Year | An indicator variable equal to one it is the CEO’s last year in his or her current position (Boardex) |
Loss | Indicator variable equal to one if the net income is negative, and zero otherwise |
MAI | Portion of variation in sales attributable to the managerial fixed effects (Demerjian et al. (2012)) |
Market to Book | Market value of assets divided by the book value of assets (Compustat [DLC + DLTT + PRCC_F*CSHO + PSTKL]/AT) |
Non-Compete Enforcement | Log of one plus the non-compete enforcement index in a firm’s headquarters state (see Garmaise (2009)) |
Restructuring | An indicator variable equal to one if the restructuring costs pretax is nonzero, and zero otherwise (Compustat RCP) |
R&D | Research and development expense divided by the sales (Compustat XRD/SALE). XRD is set to zero if missing |
Sales Growth | Book value of sales in year t over book value of sales in year t−1, minus one |
Size | Log of the market value of equity (Compustat [PRCC_F*CSHO]) |
Suspect Tobins’Q | An indicator variable equal to one if the level of earnings deflated by lagged total assets or change in earnings per share is between zero and 0.05, and zero otherwise (Compustat) Market value of equity plus the total assets minus the book value of common equity divided by the total assets (Compustat [PRCC_F*CSHO + TA-CEQ]/TA) |
Writedowns | An indicator variable equal to one if the Writedowns cost is nonzero, and zero otherwise (Compustat WDP) |
WriteOffs | An indicator variable equal to one if any one of the three corporate events, i.e. Goodwill, Restructuring, and Writedowns, is nonzero, and zero otherwise |
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Zbib, L., Amirkhani, K. & Fairhurst, D. Chalk it up to experience: CEO general ability and earnings management. Rev Quant Finan Acc 62, 1007–1036 (2024). https://doi.org/10.1007/s11156-023-01228-2
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DOI: https://doi.org/10.1007/s11156-023-01228-2