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Performance, Growth and Earnings Management

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Abstract

We study the relationship between the amount of managed earnings and firms’ earnings performance and expected growth in a reporting model, where managers manipulate earnings to influence the valuation of firms’ equity while bearing a cost that is increasing and convex in the amount of managed earnings. In the unique revealing equilibrium to the model, firms with higher performance and growth over-report earnings by a larger amount because price responsiveness increases with earnings performance and growth. And earnings quality, defined as the proportion of true economic earnings in total reported earnings, increases with earnings performance but decreases with earnings growth. We conduct empirical tests on a large sample and a restatement sample using different proxies for earnings management. Results from the large sample tests support our predictions while results from the restatement sample tests are mixed. Our study provides an alternative explanation to the positive relationship between discretionary accruals estimated from the Jones model and firms’ performance and growth.

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Notes

  1. For detailed discussions of earnings management literature, see Healy and Wahlen (1999), Kothari (2001), Schipper (1989), and other review papers.

  2. An exception is Burgstahler and Dichev (1997b), who examined the distribution of reported earnings and used the discontinuity around specific thresholds as evidence of earnings management. However, this research method cannot identify the amount of managed earnings (see Healy & Wahlen, 1999)

  3. Popular incentives include market based incentive, debt covenant, bonus and political costs. See, for example, Defond and Jiambalvo (1994), Rees, Gill, and Gore (1996), Teoh, Welch, and Wong (1998a, b) etc.

  4. These include the time-series Jones model (Jones, 1991), cross-sectional Jones model (DeFond & Jiambalvo, 1994) and modified Jones model (Dechow, Sloan, & Sweeney, 1995).

  5. Abarbanell and Lehavy (2003b) suggested that the amount of managed earnings could be positively relates to firm’s performance and growth and used it to explain the asymmetry in the distribution of analysts forecast errors. Dechow et al. (1995) and Kothari, Leone, and Wasley (2005) also recognized the possibility. However the above studies do not provide analytical explanations or direct empirical evidence for the existence of the relationship.

  6. The definition of amount of managed earnings is the same as “reporting bias” in Fischer and Verrecchia (2000). Our definition of is also consistent with that in Schipper (1989), who defines earnings management as disclosure management that intervenes in the external financial reporting process with the intention of obtaining some private gain.

  7. Another line of literature studies earnings management in an agent-principle problem setting. Representative work includes Arya, Glover, and Sunder (1998), Demski (1998), Demski, Frimor, and Sappington (2004), Dye (1988), Evans and Sridhar (1996), and Liang (2004).

  8. Signal jamming model has also been employed in Fudenberg and Tirole (1986) and Holmstrom (1982).

  9. Such models include Baiman, Evans, and Noel (1987), Demski and Dye (1999), Evans and Sridhar (1996), Fischer and Verrecchia (2000), Guttman, Kadan, and Kandel (2004), Newman and Sansing (1993), and Verrecchia (1986).

  10. A group of studies focus on the managers’ inter-temporal earnings management. These study include Chaney and Lewis (1995), Fudenberg and Tirole (1995), Kirschenheiter and Melumad (2002), Ronen and Sadan (1985), Sankar and Subramanyam (2001), and Trueman and Titman (1988).

  11. McVay (2005) shows that managers shift expenses from core expenses (cost of goods sold and selling, general, and administrative expenses) to special items. Bradshaw and Sloan (2002) find evidence that managers exclude some corporate expenses when releasing street earnings. Dye (2002) studies a model of “classifications manipulation” in which accounting reports consist of one of two binary classifications.

  12. The negative discretionary accrual may also come from the “reserve creating” behavior of the new managers.

  13. Assuming the firm is an all-equity firm is just for simplicity. Our model and analysis can easily extend to firms with debt.

  14. In our model, economic earnings x refers to firms’ core earnings, which would reoccur with a constant growth rate. x does not include extraordinary items.

  15. For instance, Teoh et al. (1998a, b) found that managers manage earnings up prior to IPO and SEO, and Erichson and Wang (1999) documented earnings management before stock mergers. Managers sometimes will benefit from lower stock price, as in management buyout or stock repurchase. Our model does not apply to those situations.

  16. For studies on the association between earnings management and management stock option or stockholdings, see Bergstresser and Philippon (2004), Berns and Kedia (2003), and Cheng and Warfield (2005). According to Bergstresser and Philippon, the median exposure of CEO wealth to firm stock price tripled between 1980 and 1994, and doubled again between 1994 and 2000. Core, Guay, and Verrecchia (2003) also document the same trend.

  17. For now we assume the relation between r and x is one to one. Later we are going to show that this assumption is satisfied in the revealing equilibrium.

  18. The manager observes x, chooses an amount of managed earnings m and reports earnings as r. We express m as a function of r because mathematically it is easier to get the expression of m in r and empirically r is observable.

  19. We conduct comparative static analysis with respect to r, because first r is observable by the market and x is not; and second it is not easy to get an expression of the earnings management in terms of x. In equilibrium, when \(r< 0,\,x=r.\) When \(r> 0\), we have an exponential pricing function, which is strictly increasing in reported earnings. Because \(p=x/b,\,x\) is also strictly increasing in r. Therefore, the implicit function linking x and r is one-to-one.

  20. NYSE and NASDAQ modified their requirements for audit committees in December, which now require that the listing firms have outsider directors at least on the audit committees. The new requirements respond to the SEC’s call for improving the effectiveness of corporate audit committee in overseeing the financial reporting process.

  21. For example: Francis, Lafond, Olsson, and Schipper (2002). They use performance adjusted discretionary accruals as one of their measures of earnings quality.

  22. See appendix for the description of variables. Thomas and Zhang (2000) use KS model in pooled sample. We use cross-sectional version of KS, similar to cross-sectional version of Jones model. Our total accruals are calculated from statement of cash flow. Using balance sheet method does not change the results.

  23. If we exclude firms with negative discretionary accruals, our results are qualitatively the same but stronger.

  24. We use the median of long-term growth forecasts in the last month of each fiscal year.

  25. For tests of earnings quality, we also use the cross-sectional version of Jones model (as the way used in Becker et al., 1998; DeFond & Jiambalvo, 1994; Subramanyam, 1996). We reach the same conclusions.

  26. For instance, see Agarwal and Chadha (2003), Beasley (1996), Desai, Hogan, and Wilkins (2004), Farber (2005), Richardson, Tuna, and Wu (2002), and Srinivasan (2005).

  27. Using the Lexis–Nexis “Guided News Search” command and the “News Wire” database, we performed a keyword search using “restate,” “restated,” in the full text and the key word in the company’s name in the headline. We further require the date of the news to be within 3 days around the announcement date from GAO’s report.

  28. Beaver, McNichols, and Nelson (2003) examine the relation between discretionary loss reserve accruals and the distribution of reported earnings for a sample of property-casualty insurers. They find that the least profitable firms understate reserves relative to the most profitable firms, which contradicts our prediction and findings.

  29. Kothari et al. (2005) also notice the reduced power of performance matching. See their discussion at Page 170. However, our model suggests the performance matching may also produce biases results conditional on different performance or growth.

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Acknowledgements

We are grateful to two anonymous referees and the editor Richard Sloan for their constructive comments. We also benefit from discussions and suggestions from Agnes Cheng, Zhaoyang Gu, Prem Jain, Yuhchang Hwang, Bjorn Jorgenson, Deen Kemsley, Roby Lehavy, Venkatesh Nagar, Karen Nelson, Tom Noe, James Ohlson, Shailendra Pandit, Stephen Penman, Stefan Reichelstein, Weiming Wang, Xiao-Jun Zhang, and Ling Zhou. We appreciate comments from accounting workshop participants of Arizona State University, Georgetown University, Tulane University, Peking University, the 2005 AAA Annual Conference, and the 2005 RAST conference (New York). We acknowledge the financial support from Tulane University. Heng Yue acknowledges the financial support provided by NSFC (70532002). All errors remain ours.

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Correspondence to Laura Yue Li.

Appendices

Appendix A: Proofs

Proof of Proposition 1

Using Eqs. 1–4, we get the differential equation:

$$ap_r^{\ast\prime} +2cbp^\ast -2cr=0$$
(A.1)

where \(r\ge 0\), and \(b=\frac{d-g}{1+d}\). The general solution for Eq. A.1 is:

$$p^\ast (r)=Ge^{-\frac{2cb}{a}r}+\frac{r}{b}-\frac{a}{2cb^2}$$
(A.2)

Using the initial condition \(p(r=0)=0\), we get \(G=\frac{a}{2cb^2}\). We plug G back into Eq. A.2, and get:

$$p^\ast (r)=\frac{a}{2cb^2}e^{-\frac{2cb}{a}r}+\frac{r}{b}-\frac{a}{2cb^2}$$
(A.3)

Eq. A.3 gives the equilibrium pricing function when reported earnings is positive.

Plugging (A.3) back to the objective function of the manager, we could show that the utility of the manager is concave in r when \(r\ge0\); i.e.,

$$ 2c\left(e^{-\frac{2cb}{a}r}-1\right)\le 0$$

For any \(r\ge 0\). Therefore, the first order condition is sufficient for a global maximum.

Proof of \(\frac{\partial m}{\partial \alpha} =1-\left({1+\frac{r}{\alpha}} \right)e^{-\frac{r}{\alpha}}\ge 0\)where \(\alpha =\frac{a}{2cb}\). Let \(g(r)=\frac{\partial m}{\partial \alpha}\), then \(g(r=0)=0\). And \(g^{\prime}(r)=\frac{r}{\alpha }e^{-\frac{r}{\alpha}}\). When \(r> 0,g^{\prime}(r)> 0\). So for all \(r\ge 0,\frac{\partial m}{\partial \alpha} \ge 0\).

Proof of Corollary 2

Notice that the sign of \(\frac{\partial q}{\partial \alpha}\) would be the same as the sign of \(\frac{\partial m}{\partial \alpha}\) when \(r\ge 0\), where \(\alpha =\frac{a}{2cb}\), and \(b=\frac{d-g}{1+d}\). Given \(\frac{\partial m}{\partial \alpha} \ge 0\), it is obvious that when \(r\ge 0,\frac{\partial q}{\partial \alpha} \ge 0\). Now we prove that \(\frac{\partial q}{\partial r}\ge 0\): Take derivative of Eq. 11, we get:

$$\frac{\partial q}{\partial r}=\frac{a}{2cbr^2}e^{-\frac{2cbr}{a}}\times A$$

where

$$A=\left(e^{\frac{2cbr}{a}}-\frac{2cbr}{a}-1\right)$$

Because \(\frac{a}{2cbr^2}e^{-\frac{2cbr}{a}}> 0\), \(\frac{\partial q}{\partial r}\) has the same sign as A. Because when \(r=0,\,A=0\). And when \(r> 0\), \(\frac{\partial A}{\partial r}> 0\), we get \(A\ge 0\), when \(r\ge 0\). For the above reasoning, \(\frac{\partial q}{\partial r}\ge 0\).

Proof of Corollary 3

From Eq. A.3, we get:

$$\frac{{\partial ^{2} p}} {{\partial r^{2}}} = \frac{{2c}} {a}e^{{- \frac{{2cb}} {a}r}},\quad \frac{{\partial ^{2} p}} {{\partial r\partial a}} = - \frac{{2cr}} {{a^{3}}}e^{{- \frac{{2cb}} {a}r}},\quad \frac{{\partial ^{2} p}} {{\partial r\partial c}} = \frac{{2r}} {a}e^{{- \frac{{2cb}} {a}r}}$$

Obviously, \(\frac{\partial ^2p}{\partial r^2}> 0\). And when \(r\ge 0\), \(\frac{\partial ^2p}{\partial r\partial a}\ge 0\) and \(\frac{\partial^2p}{\partial r\partial c}\ge 0\) From Eq. A.3, we get:

$$\frac{\partial ^2p}{\partial r\partial b}=\frac{2c}{ab}e^{-\frac{2cbr}{a}}\times B$$

where

$$B=\left(r-\frac{a}{2bc}e^{\frac{2cbr}{a}}+\frac{a}{2bc}\right)$$

Since \(\frac{2c}{ab}e^{-\frac{2cbr}{a}}> 0\), \(\frac{\partial ^2p}{\partial r\partial b}\) has the same sign as B. Because when \(r=0,\,B=0\), and when \(r> 0\), \(\frac{\partial B}{\partial r}< 0\). We get \(B\le 0\), when \(r\ge 0\). For the above reason, \(\frac{\partial ^2p}{\partial r\partial b}\le 0\) and \(\frac{\partial ^2p}{\partial r\partial g}\ge 0\).

Appendix B

  • ACCL = Net Income (#172)-Operating Cash flow (#308)

  • ART = Accounts receivable (#2) less Tax receivables (#161)

  • EXP = expenses = Revenue (#12)- Operating income before depreciation (#13)

  • DEP = Depreciation from Income Statement (#14)

  • OCAL = other current assets and liabilities = Current assets (#4)-ART-Cash (#1)- Income tax refund (#161)-(Current liabilities (#5)- Income taxes payable (#71)

  • GPPE = gross plant, property and equipment (#7)

  • TA = Total assets (#6)

  • REV = Revenues (#12)

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Lee, CW.J., Li, L.Y. & Yue, H. Performance, Growth and Earnings Management. Rev Acc Stud 11, 305–334 (2006). https://doi.org/10.1007/s11142-006-9009-9

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