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Managerial optimism, CEO retention, and corporate performance: evidence from bankruptcy-filing firms


Using data on 601 firms in the United States filing for bankruptcy protection from 1982 to 2013, this paper explores how managerial optimism and CEO retention affect corporate performance and bankruptcy resolution. Our results indicate that over the period leading to the filing, managerial optimism causes bankruptcy-filing firms to adopt more aggressive strategies in terms of cash policy and tapping the external debt market to meet fund requirements. The greater the optimism, the worse the bankruptcy performance and the less probable survival is. Furthermore, the presence of managerial optimism sheds light on the critical role for incumbent CEO retention in distressed firms. While an optimistic attitude is proven to be detrimental in bankruptcy-filing firms, retaining pre-filing CEOs in office, whether retained until the petition filing or through the bankruptcy resolution, mitigates the negative influences of managerial optimism on corporate performance and aids the firm to successfully survive bankruptcy protection. The tests validate the negative optimism effects and positive retention effects in bankruptcy-filing firms.

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Fig. 1


  1. 1.

    We follow Ben-David et al. (2013), who connect optimism with confidence, since they are likely to appear jointly.

  2. 2.

    Gilson (1989) finds that 52% of firms change their senior-level management immediately before bankruptcy; Platt and Platt (2002) indicate that 48% of firms replace the CEO prior to filing the restructure plan.

  3. 3.

    When managerial turnover becomes severe in distressed firms, there may be less exercisable option data applicable to evaluate the optimism of incoming CEOs given that the typical option has a ten-year duration and is fully vested by year five. There is also a smaller likelihood of exercising options in a depressed stock market in advance of filing.

  4. 4.

    In contrast to traditional Chapter 11 filing, prepackaged bankruptcies enable firms to file for bankruptcy with a reorganization plan already negotiated with creditors.

  5. 5.

    The distribution of asset size is positively skewed, with the top 1% of our bankrupt firms having a book value of assets over $50 billion. In comparison with the study in Jang, Li, and Wang (2012), who collect 474 bankrupt firms over the period from 1996 to 2007 from the same database, they present a similar median (mean) value of book assets at $706 ($2718) million and of cash holdings at 0.030 (0.068).

  6. 6.

    We calculate average industry-adjusted characteristics by finding the median of all the firms in the same two-digit SIC code industry, and subtracting the relevant median industry characteristics from the comparable characteristics for each firm in our sample.

  7. 7.

    Relative to negative median values, the positive mean value of the return on equity, 65.66%, does not represent profit in the firms, given that 39.43% of our bankrupt firms with negative stockholder equity are losing money. This raises the concern that using the measure yields the reverse of the typical situation for negative equity. For this reason, we employ the measure of operating performance as the main proxy for profitability in the following analysis.

  8. 8.

    We perform standard t-tests and Wilcoxon signed rank tests to compare the sample means and medians between the groups with and without emergence cases, showing similar results.

  9. 9.

    We perform a one-side t-test to examine whether optimistic firms have a lower Altman’s Z-score, and obtain t-statistics of −1.5235 at the 5% significance level, indicative of deteriorated credit quality.

  10. 10.

    We estimate variance inflation factor scores for explanatory variables in all regressions. Most values lie between 1 and 2, which suggests that multicollinearity has not biased our regression results.

  11. 11.

    The deviation between median and mean is large for some changes in accounting ratios. As the accounting ratio in the denominator is close to zero, minor movement can result in a large variety in the changes, magnifying the deviation in between. For an additional check, we follow Denis and Rodgers (2007) by redefining the change in ratios as ΔX = Xyear = 0-Xyear = −2 and conduct a similar analysis, as presented in Tables 2 and 3. We obtain a small deviation for the changes and similar findings for managerial optimism affecting changes with higher explanatory power.

  12. 12.

    Among 601 bankruptcy-filing firms, we have 162 optimistic firms and 439 non-optimistic firms, reducing the optimism ratio to 26.96%. Our two investment-based optimism measures are highly correlated (0.9004) indicating that the measures capture similar aspects of managerial optimism.

  13. 13.

    We exclude firms with SIC codes from 6000 to 6999.

  14. 14.

    The bankruptcy resolution date is the earlier date among the date when the court approves the sale of (substantially) all the assets of the firm, the date when the court confirms the restructure plan, and the date when the firm converts Chapter 11 to Chapter 7.

  15. 15.

    Finance firms have smaller tangible assets and a higher asset size. The median (mean) asset size in 432 non-finance bankrupt firms is $632($1966) million respective to $2846 ($9279) million in 51 finance bankrupt firms. The median (mean) ratio of tangible assets is 38.55% (40.91%) in non-finance firms and 1.16% (6.30%) in the finance industry.

  16. 16.

    We collect the option-holding data from the ExecuComp database and compute the realizable value per option as the total realizable value of the exercisable options divided by the number of exercisable options. Then we subtract the per-option realizable value from the stock price at the fiscal year end to obtain an estimate of the average exercise price of the options. The average percent moneyness of the options equals the per-option realizable value divided by the estimated average exercise price. We do not calculate the Longholder measure as the applicable option data on the expiration date reduces sample numbers to 47 bankrupt firms.

  17. 17.

    Stock transaction data are collected from Thomson Reuters in the WRDS database.

  18. 18.

    EPS forecast data are collected from IBES Guidance in the WRDS database.


  1. Altman EI (1968) Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. J Financ 23(4):589–609

    Article  Google Scholar 

  2. Barniv R, Agarwal A, Leach R (2002) Predicting bankruptcy resolution. J Bus Financ Account 29(3):497–520

    Article  Google Scholar 

  3. Ben-David I, Graham JR, Harvey CR (2013) Managerial miscalibration. Q J Econ 128(4):1547–1584

    Article  Google Scholar 

  4. Bertrand M, Schoar A (2003) Managing with style: the effect of managers on firm policies. Q J Econ 118(4):1169–1208

    Article  Google Scholar 

  5. Campbell TC, Gallmeyer M, Johnson SA, Rutherford J, Stanley BW (2011) CEO optimism and forced turnover. J Financ Econ 101(3):695–712

    Article  Google Scholar 

  6. Denis DJ, Denis DK (1995) Performance changes following top management dismissals. J Financ 50(4):1029–1057

    Article  Google Scholar 

  7. Denis DK, Rodgers KJ (2007) Chapter 11: duration, outcome, and post-reorganization performance. J Financ Quant Anal 42(1):101-118.

  8. Eckbo BE, Thorburn KS, Wang W (2016) How costly is corporate bankruptcy for the CEO? J Financ Econ 121(1):210–229

    Article  Google Scholar 

  9. Evans JH, Luo S, Nagarajan NJ (2014) CEO turnover, financial distress, and contractual innovations. Account Rev 89(3):959–990

    Article  Google Scholar 

  10. Fahlenbrach R, Prilmeier R, Stulz R (2012) This time is the same: using bank performance in 1998 to explain bank performance during the recent financial crisis. J Financ 67(6):2139–2185

    Article  Google Scholar 

  11. Gervais S, Heaton JB, Odean T (2011) Overconfidence, compensation contracts, and capital budgeting. J Financ 66(5):1735–1777

    Article  Google Scholar 

  12. Gilson SC (1989) Management turnover and financial distress. J Financ Econ 25(2):241–262

    Article  Google Scholar 

  13. Gilson SC (1997) Transactions costs and capital structure choice: evidence from financially distressed firms. J Financ 52(1):161–196

    Article  Google Scholar 

  14. Gilson SC, John K, Lang LHP (1990) Troubled debt restructurings: an empirical study of private reorganization of firms in default. J Financ Econ 27(2):315–353

    Article  Google Scholar 

  15. Goel AM, Thakor AV (2008) Overconfidence, CEO selection, and corporate governance. J Financ 63(6):2737–2784

    Article  Google Scholar 

  16. Hackbarth D (2008) Managerial traits and capital structure decisions. J Financ Quant Anal 43(4):843–881

    Article  Google Scholar 

  17. Heaton JB (2002) Managerial optimism and corporate finance. Financ Manag 31(2):33–45

    Article  Google Scholar 

  18. Hirshleifer D, Low A, Teoh SH (2012) Are overconfident CEOs better Innovators. J Financ 67(4):1457–1498

    Article  Google Scholar 

  19. Ho PH, Huang CW, Lin CY, Yen JF (2016) CEO overconfidence and financial crisis: evidence from bank lending and leverage. J Financ Econ 120(1):194–209

    Article  Google Scholar 

  20. Hotchkiss ES (1995) Postbankruptcy performance and management turnover. J Financ 50(1):3–21

    Article  Google Scholar 

  21. Ivashina V, Iverson B, Smith DC (2016) The ownership and trading of debt claims in chapter 11 restructuring. J Financ Econ 119(2):316–335

    Article  Google Scholar 

  22. Jaggia S, Thosar S (2018) An evaluation of chapter 11 bankruptcy filings in a competing risks framework. J Econ Financ Accessed 06 October 2018

  23. Jiang W, Li K, Wang W (2012) Hedge funds and Chapter 11. J Financ 67(2):513-560.

  24. Kalay A, Singhal R, Tashjian E (2007) Is chapter 11 costly? J Financ Econ 84(3):772–796

    Article  Google Scholar 

  25. Kaplan SN, Klebanov MM, Sorensen M (2012) Which CEO characteristics and abilities matter. J Financ 67(3):973–1007

    Article  Google Scholar 

  26. Li K, Wang W (2016) Debtor-in-possession financing, loan-to-loan, and loan-to-own. J Corp Financ 39:121–138

    Article  Google Scholar 

  27. Malmendier U, Tate G (2005) CEO overconfidence and corporate investment. J Financ 89(6):2661–2700

    Article  Google Scholar 

  28. Malmendier U, Tate G, Yan J (2011) Overconfidence and early-life experiences: the effect of managerial traits on corporate financial policies. J Financ 66(5):1687–1733

    Article  Google Scholar 

  29. Ofek E (1993) Capital structure and firm response to poor performance. J Financ Econ 34(1):3–30

    Article  Google Scholar 

  30. Otto CA (2014) CEO optimism and incentive compensation. J Financ Econ 114(2):366–404

    Article  Google Scholar 

  31. Platt HD, Platt MB (2002) A re-examination of the effectiveness of the bankruptcy process. J Bus Financ Account 29(9):1209–1237

    Article  Google Scholar 

  32. Skeel DA (2003) Creditors’ ball: the “new” corporate governance in chapter 11. U Pitt Law Rev 152:917–951

    Article  Google Scholar 

  33. Tashjian E, Lease RC, McConnell JJ (1996) Prepacks: an empirical analysis of prepackaged bankruptcies. J Financ Econ 40(1):135–162

    Article  Google Scholar 

  34. Weisbach AS (1995) The CEO and the firm’s investment decisions. J Financ Econ 37(2):159–188

    Article  Google Scholar 

  35. White H (1980) A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica 48(4):817–838

    Article  Google Scholar 

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Correspondence to Wen-Hsin Tsai.

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Hung, MW., Tsai, WH. Managerial optimism, CEO retention, and corporate performance: evidence from bankruptcy-filing firms. J Econ Finan 44, 506–527 (2020).

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  • Managerial optimism
  • Management turnover
  • Bankruptcy
  • Emergence

JEL classification

  • G32
  • G33
  • G40