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Small Business Credit Scoring and Its Pitfalls: Evidence from Japan

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  • Ryo Hasumi
  • Hideaki Hirata

Abstract

This paper studies the Japanese credit scoring market using data on 2,000 small and medium-sized enterprises and a small business credit scoring (SBCS) model widely used in the market. After constructing a model for determining a bank's profit maximization, some simulation exercises are conducted, and pitfalls of lending based on SBCS are indicated. The simulation results suggest that the reason why SBCS loan losses occur would be the combination of adverse selection and window-dressing problems. In addition, omitted variable bias and transparency of financial statements are important.

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  • Ryo Hasumi & Hideaki Hirata, "undated". "Small Business Credit Scoring and Its Pitfalls: Evidence from Japan," Working Paper 164471, Harvard University OpenScholar.
    • Handle: RePEc:qsh:wpaper:164471
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    File URL: http://scholar.harvard.edu/hideakihirata/node/164471
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    Cited by:

    1. Ono, Arito & Hasumi, Ryo & Hirata, Hideaki, 2014. "Differentiated use of small business credit scoring by relationship lenders and transactional lenders: Evidence from firm–bank matched data in Japan," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 371-380.
    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. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    4. Bo Kyeong Lee & So Young Sohn, 2017. "A Credit Scoring Model for SMEs Based on Accounting Ethics," Sustainability, MDPI, vol. 9(9), pages 1-15, September.

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