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Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures

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  • Chiara Pederzoli
  • Grid Thoma
  • Costanza Torricelli

Abstract

Small-medium enterprises (SMEs) encounter financial constraints when they try to obtain credit from banks. These constraints are particularly severe for innovative SMEs. Thus, developing models for innovative SMEs that provide reliable estimates of their probabilities of default (PD) is important because the PDs can also serve as ratings. We examine the role of innovative assets such as patents in credit risk modelling due to their signaling value. Specifically, we add to a logit model two innovation-related variables in order to account for both the dimension and the value of the patent portfolio. Based on a unique data set of innovative SMEs with default years of 2005–2008, we show that, although the value of the patent portfolio always reduces the PD, its dimension reduces the firm’s riskiness only if coupled with an appropriate equity level. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Chiara Pederzoli & Grid Thoma & Costanza Torricelli, 2013. "Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 111-129, August.
    • Handle: RePEc:kap:jfsres:v:44:y:2013:i:1:p:111-129
    DOI: 10.1007/s10693-012-0152-0
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    2. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    3. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    4. Rahman Ashiqur & Rahman M. Twyeafur & Belas Jaroslav, 2017. "Determinants of SME Finance: Evidence from Three Central European Countries," Review of Economic Perspectives, Sciendo, vol. 17(3), pages 263-285, September.
    5. C. Pederzoli & C. Torricelli, 2013. "Efficiency and unbiasedness of corn futures markets: new evidence across the financial crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 23(24), pages 1853-1863, December.
    6. Lee, Chien-Chiang & Wang, Chih-Wei & Ho, Shan-Ju, 2020. "Financial innovation and bank growth: The role of institutional environments," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    7. Stefano Cosma & Elisabetta Gualandri, 2014. "The sovereign debt crisis: the impact on the intermediation model of Italian banks," BANCARIA, Bancaria Editrice, vol. 2, pages 48-60, February.
    8. 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).
    9. Sungmoon Jung & Gihyun Kwak, 2018. "Firm Characteristics, Uncertainty and Research and Development (R&D) Investment: The Role of Size and Innovation Capacity," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    10. 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.
    11. Elisabetta Gualandri & Valeria Venturelli, 2013. "The financing of Italian firms and the credit crunch: findings and exit strategies," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 13101, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    12. Yehui Tong & Zelia Serrasqueiro, 2020. "The Influential Factors on Capital Structure: A Study on Portuguese High Technology and Medium-High Technology Small and Medium-Sized Enterprises," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(4), pages 23-35, July.
    13. Andreeva, Galina & Calabrese, Raffaella & Osmetti, Silvia Angela, 2016. "A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models," European Journal of Operational Research, Elsevier, vol. 249(2), pages 506-516.
    14. Xu, Kun & Liu, Jie & Teng, Zhong-lu & Wang, Weicheng, 2024. "Risk culture of banks and corporate innovation: Evidence from Chinese listed companies," International Review of Economics & Finance, Elsevier, vol. 94(C).
    15. Yao-Zhi Xu & Jian-Lin Zhang & Ying Hua & Lin-Yue Wang, 2019. "Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
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    17. Marianna Succurro & Giuseppina Damiana Costanzo, 2019. "Ownership structure and firm patenting activity in Italy," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 239-266, June.

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    More about this item

    Keywords

    Innovative small-medium enterprises; Default probability; Patent value; R&D productivity; G21; G32; C25; O34;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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