IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v59y2020icp88-108.html
   My bibliography  Save this article

Innovate or die: Corporate innovation and bankruptcy forecasts

Author

Listed:
  • Bai, Qing
  • Tian, Shaonan

Abstract

We investigate the relationship between a firm’s innovation performance and its probability of bankruptcy. Estimating the discrete hazard model with a comprehensive set of bankruptcies spanning the period of 1980–2009, we find several previously neglected innovation-based variables are important determinants of bankruptcy probability, especially for firms belonging to technology-intensive industries. R&D productivity demonstrates persistent significance across different prediction horizons while the predictive power of patent count becomes larger and more significant at longer prediction horizons. We also find that a firm’s organization capital intensity correlates positively with future bankruptcy.

Suggested Citation

  • Bai, Qing & Tian, Shaonan, 2020. "Innovate or die: Corporate innovation and bankruptcy forecasts," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 88-108.
    • Handle: RePEc:eee:empfin:v:59:y:2020:i:c:p:88-108
    DOI: 10.1016/j.jempfin.2020.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539820300566
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jempfin.2020.09.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hsu, Po-Hsuan & Lee, Hsiao-Hui & Liu, Alfred Zhu & Zhang, Zhipeng, 2015. "Corporate innovation, default risk, and bond pricing," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 329-344.
    2. Joel A. C. Baum & Tony Calabrese & Brian S. Silverman, 2000. "Don't go it alone: alliance network composition and startups' performance in Canadian biotechnology," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 267-294, March.
    3. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    4. Elena Cefis & Orietta Marsili, 2005. "A matter of life and death: innovation and firm survival," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 14(6), pages 1167-1192, December.
    5. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna, 2016. "Inverted-U relationship between R&D intensity and survival: Evidence on scale and complementarity effects in UK data," Research Policy, Elsevier, vol. 45(7), pages 1474-1492.
    8. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    9. Josh Lerner, 2002. "Patent Protection and Innovation Over 150 Years," NBER Working Papers 8977, National Bureau of Economic Research, Inc.
    10. Pål Børing, 2015. "The effects of firms’ R&D and innovation activities on their survival: a competing risks analysis," Empirical Economics, Springer, vol. 49(3), pages 1045-1069, November.
    11. Hall, Bronwyn H, 1993. "The Stock Market's Valuation of R&D Investment during the 1980's," American Economic Review, American Economic Association, vol. 83(2), pages 259-264, May.
    12. 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.
    13. A. Adam Ding & Shaonan Tian & Yan Yu & Hui Guo, 2012. "A Class of Discrete Transformation Survival Models With Application to Default Probability Prediction," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 990-1003, September.
    14. Josh Lerner, 2002. "150 Years of Patent Protection," American Economic Review, American Economic Association, vol. 92(2), pages 221-225, May.
    15. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    16. Wolfgang Härdle & Yuh-Jye Lee & Dorothea Schäfer & Yi-Ren Yeh, 2009. "Variable selection and oversampling in the use of smooth support vector machines for predicting the default risk of companies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 512-534.
    17. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    18. Antonio Falato & Dalida Kadyrzhanova & Jae W. Sim, 2013. "Rising intangible capital, shrinking debt capacity, and the US corporate savings glut," Finance and Economics Discussion Series 2013-67, Board of Governors of the Federal Reserve System (U.S.).
    19. 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.
    20. Sharon Belenzon, 2012. "Cumulative Innovation and Market Value: Evidence from Patent Citations," Economic Journal, Royal Economic Society, vol. 122(559), pages 265-285, March.
    21. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    22. Clayton M. Christensen & Fernando F. Suárez & James M. Utterback, 1998. "Strategies for Survival in Fast-Changing Industries," Management Science, INFORMS, vol. 44(12-Part-2), pages 207-220, December.
    23. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    24. Silviano Esteve-Pérez & Juan Mañez-Castillejo, 2008. "The Resource-Based Theory of the Firm and Firm Survival," Small Business Economics, Springer, vol. 30(3), pages 231-249, March.
    25. Andrea L. Eisfeldt & Dimitris Papanikolaou, 2013. "Organization Capital and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 68(4), pages 1365-1406, August.
    26. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    27. Harhoff, Dietmar & Gambardella, Alfonso & Verspagen, Bart, 2008. "The Value of European Patents," CEPR Discussion Papers 6848, C.E.P.R. Discussion Papers.
    28. Shanling Li & Jennifer Shang & Sandra A. Slaughter, 2010. "Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007," Information Systems Research, INFORMS, vol. 21(3), pages 631-654, September.
    29. Narin, Francis & Noma, Elliot & Perry, Ross, 1987. "Patents as indicators of corporate technological strength," Research Policy, Elsevier, vol. 16(2-4), pages 143-155, August.
    30. Pakes, Ariel, 1985. "On Patents, R&D, and the Stock Market Rate of Return," Journal of Political Economy, University of Chicago Press, vol. 93(2), pages 390-409, April.
    31. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    32. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    33. Hirshleifer, David & Hsu, Po-Hsuan & Li, Dongmei, 2013. "Innovative efficiency and stock returns," Journal of Financial Economics, Elsevier, vol. 107(3), pages 632-654.
    34. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    35. Assaf Eisdorfer & Po‐Hsuan Hsu, 2011. "Innovate to Survive: The Effect of Technology Competition on Corporate Bankruptcy," Financial Management, Financial Management Association International, vol. 40(4), pages 1087-1117, December.
    36. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    37. Allan C. Eberhart & William F. Maxwell & Akhtar R. Siddique, 2004. "An Examination of Long-Term Abnormal Stock Returns and Operating Performance Following R&D Increases," Journal of Finance, American Finance Association, vol. 59(2), pages 623-650, April.
    38. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    39. Baruch Lev & Bharat Sarath & Theodore Sougiannis, 2005. "R&D Reporting Biases and Their Consequences," Contemporary Accounting Research, John Wiley & Sons, vol. 22(4), pages 977-1026, December.
    40. Jan Bena & Kai Li, 2014. "Corporate Innovations and Mergers and Acquisitions," Journal of Finance, American Finance Association, vol. 69(5), pages 1923-1960, October.
    41. Peters, Ryan H. & Taylor, Lucian A., 2017. "Intangible capital and the investment-q relation," Journal of Financial Economics, Elsevier, vol. 123(2), pages 251-272.
    42. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    43. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    44. Anne Marie Knott, 2008. "R& D/Returns Causality: Absorptive Capacity or Organizational IQ," Management Science, INFORMS, vol. 54(12), pages 2054-2067, December.
    45. Catherine M. Banbury & Will Mitchell, 1995. "The effect of introducing important incremental innovations on market share and business survival," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 161-182.
    46. Lanjouw, Jean O & Lerner, Josh, 2001. "Tilting the Table? The Use of Preliminary Injunctions," Journal of Law and Economics, University of Chicago Press, vol. 44(2), pages 573-603, October.
    47. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    48. Maria Vassalou & Yuhang Xing, 2004. "Default Risk in Equity Returns," Journal of Finance, American Finance Association, vol. 59(2), pages 831-868, April.
    49. 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.
    50. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    51. Hélène Dernis & Mosahid Khan, 2004. "Triadic Patent Families Methodology," OECD Science, Technology and Industry Working Papers 2004/2, OECD Publishing.
    52. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    53. Nicholas Bloom & John Van Reenen, 2002. "Patents, Real Options and Firm Performance," Economic Journal, Royal Economic Society, vol. 112(478), pages 97-116, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
    2. Su-Chen Yu & Kuang-Hsun Shih, 2021. "Financial Market Reaction to Patent Lawsuits against Integrated Circuit Design Companies," JRFM, MDPI, vol. 14(9), pages 1-16, September.
    3. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    4. Jiang, Cuiqing & Zhou, Yiru & Chen, Bo, 2023. "Mining semantic features in patent text for financial distress prediction," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    5. Xiaolu Xu & Leo L. Yang & Joseph H. Zhang, 2022. "How do auditors respond to client firms’ technological peer pressure? Evidence from going‐concern opinions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(9-10), pages 1553-1580, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    2. Tian, Shaonan & Yu, Yan, 2017. "Financial ratios and bankruptcy predictions: An international evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 510-526.
    3. Paulo V. Carvalho & José D. Curto & Rodrigo Primor, 2022. "Macroeconomic determinants of credit risk: Evidence from the Eurozone," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2054-2072, April.
    4. B Korcan Ak & Patricia M Dechow & Yuan Sun & Annika Yu Wang, 2013. "The use of financial ratio models to help investors predict and interpret significant corporate events," Australian Journal of Management, Australian School of Business, vol. 38(3), pages 553-598, December.
    5. Evangelos C. Charalambakis & Ian Garrett, 2019. "On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 467-491, February.
    6. Niket Jindal & Leigh McAlister, 2015. "The Impacts of Advertising Assets and R&D Assets on Reducing Bankruptcy Risk," Marketing Science, INFORMS, vol. 34(4), pages 555-572, July.
    7. Elizabeth Gutierrez & Jake Krupa & Miguel Minutti-Meza & Maria Vulcheva, 2020. "Do going concern opinions provide incremental information to predict corporate defaults?," Review of Accounting Studies, Springer, vol. 25(4), pages 1344-1381, December.
    8. Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
    9. Jens Hilscher & Mungo Wilson, 2017. "Credit Ratings and Credit Risk: Is One Measure Enough?," Management Science, INFORMS, vol. 63(10), pages 3414-3437, October.
    10. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    11. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    12. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    13. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    14. Evangelos C. Charalambakis & Ian Garrett, 2016. "On the prediction of financial distress in developed and emerging markets: Does the choice of accounting and market information matter? A comparison of UK and Indian Firms," Review of Quantitative Finance and Accounting, Springer, vol. 47(1), pages 1-28, July.
    15. Dong, Manh Cuong & Tian, Shaonan & Chen, Cathy W.S., 2018. "Predicting failure risk using financial ratios: Quantile hazard model approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 204-220.
    16. Bauer, Julian & Agarwal, Vineet, 2014. "Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 432-442.
    17. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    18. Duan, Jin-Chuan & Sun, Jie & Wang, Tao, 2012. "Multiperiod corporate default prediction—A forward intensity approach," Journal of Econometrics, Elsevier, vol. 170(1), pages 191-209.
    19. Koresh Galil & Neta Gilat, 2019. "Predicting Default More Accurately: To Proxy or Not to Proxy for Default?," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 731-758, December.
    20. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.

    More about this item

    Keywords

    Corporate bankruptcy; Discrete hazard model; Innovation; Patent;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:empfin:v:59:y:2020:i:c:p:88-108. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jempfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.