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Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations

Author

Listed:
  • Karminsky, A.

    (National Research University Higher School of Economics, Moscow, Russia)

  • Rybalka, A.

    (National Research University Higher School of Economics, Moscow, Russia
    Center for Macroeconomic Analysis and Short-Term Forecasting, Moscow, Russia)

Abstract

Transparent and effective corporate governance positively influences the financial stability of the company: it increases the investment attractiveness and reduces the cost of lending. For Russia, this problem is relatively new. And at the moment, corporate management in the manufacturing industry continues to be characterized by a high concentration of ownership and a combination of ownership and management functions. In this paper, using logistic regression we investigate the impact of corporate governance factors and sector expectations on a negative net worth of the companies in the period 2011-2015. The results showed, in particular, the probability of a negative company's net worth is higher, the lower the index of business confidence in the industry; the presence of agency problem; the smaller the number of member in the board of directors; the higher concentration of ownership; and, if company is not privately owned or joint stock company. Robustness of the coefficients of the final specification was confirmed.

Suggested Citation

  • Karminsky, A. & Rybalka, A., 2018. "Negative Net Worth of Manufacturing Companies: Corporate Governance and Industry Expectations," Journal of the New Economic Association, New Economic Association, vol. 38(2), pages 76-103.
    • Handle: RePEc:nea:journl:y:2018:i:38:p:76-103
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    References listed on IDEAS

    as
    1. Chen, Nan-Kuang, 2001. "Bank net worth, asset prices and economic activity," Journal of Monetary Economics, Elsevier, vol. 48(2), pages 415-436, October.
    2. Mogilat , Anastasia & Ipatova, Irina, 2016. "Technical efficiency as a factor of Russian industrial companies’ risks of financial distress," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 42, pages 05-29.
    3. Carmen M. Reinhart & Graciela L. Kaminsky, 1999. "The Twin Crises: The Causes of Banking and Balance-of-Payments Problems," American Economic Review, American Economic Association, vol. 89(3), pages 473-500, June.
    4. Erwan Morellec & Boris Nikolov & Norman Schürhoff, 2012. "Corporate Governance and Capital Structure Dynamics," Journal of Finance, American Finance Association, vol. 67(3), pages 803-848, June.
    5. Jensen, Michael C, 1986. "Agency Costs of Free Cash Flow, Corporate Finance, and Takeovers," American Economic Review, American Economic Association, vol. 76(2), pages 323-329, May.
    6. Ya. Pappe & N. Antonenko., 2011. "On New Configurations of Owners of Russian Big Business," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 6.
    7. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    8. Weisbach, Michael S., 1988. "Outside directors and CEO turnover," Journal of Financial Economics, Elsevier, vol. 20(1-2), pages 431-460, January.
    9. Sprenger, C., 2012. "Corporate Governance Russia: of First-order Importance," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 154-157.
    10. Shailer, Greg & Wang, Kun, 2015. "Government ownership and the cost of debt for Chinese listed corporations," Emerging Markets Review, Elsevier, vol. 22(C), pages 1-17.
    11. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    12. Bushman, Robert & Dai, Zhonglan & Wang, Xue, 2010. "Risk and CEO turnover," Journal of Financial Economics, Elsevier, vol. 96(3), pages 381-398, June.
    13. Rafael La Porta & Florencio Lopez‐De‐Silanes & Andrei Shleifer, 1999. "Corporate Ownership Around the World," Journal of Finance, American Finance Association, vol. 54(2), pages 471-517, April.
    14. Anatoly Peresetsky & Alexandr Karminsky & Sergei Golovan, 2011. "Probability of default models of Russian banks," Economic Change and Restructuring, Springer, vol. 44(4), pages 297-334, November.
    15. Pappe, Ya., 2012. "Fundamental Changes in Russian Big Business in 2000s and Progress in Corporate Governance," Journal of the New Economic Association, New Economic Association, vol. 13(1), pages 148-150.
    16. James, Christopher, 1991. "The Losses Realized in Bank Failures," Journal of Finance, American Finance Association, vol. 46(4), pages 1223-1242, September.
    17. Liang, Deron & Lu, Chia-Chi & Tsai, Chih-Fong & Shih, Guan-An, 2016. "Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study," European Journal of Operational Research, Elsevier, vol. 252(2), pages 561-572.
    18. Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
    19. Ashbaugh-Skaife, Hollis & Collins, Daniel W. & LaFond, Ryan, 2006. "The effects of corporate governance on firms' credit ratings," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 203-243, October.
    20. Salnikov, V. & Mogilat, A. & Maslov, I., 2012. "Stress Testing for Russian Real Sector: First Approach," Journal of the New Economic Association, New Economic Association, vol. 16(4), pages 46-70.
    21. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    22. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    23. Catherine M. Daily & Dan R. Dalton, 1994. "Corporate governance and the bankrupt firm: An empirical assessment," Strategic Management Journal, Wiley Blackwell, vol. 15(8), pages 643-654, October.
    24. Dolgopyatova, T., 2010. "Concentration of Ownership in Russian Industry: Firm-Level Evolution," Journal of the New Economic Association, New Economic Association, issue 8, pages 80-99.
    25. Iwasaki, Ichiro, 2014. "Global financial crisis, corporate governance, and firm survival:," Journal of Comparative Economics, Elsevier, vol. 42(1), pages 178-211.
    26. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    27. Fiordelisi, Franco & Ricci, Ornella, 2014. "Corporate culture and CEO turnover," Journal of Corporate Finance, Elsevier, vol. 28(C), pages 66-82.
    28. Alexander Karminsky & Alexander Kostrov, 2017. "The back side of banking in Russia: forecasting bank failures with negative capital," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 170-209.
    29. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
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    More about this item

    Keywords

    manufacturing industry; negative net worth; probability of default; logistic regression; corporate governance; industry expectations;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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