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The risk management for technology credit guarantee fund

Author

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  • H J Jeon

    (Yonsei University)

  • S Y Sohn

    (Yonsei University)

Abstract

Technology credit guarantee Fund (TCGF) supports many small and medium companies with high degree of growth potential in technology. Generally, the performance of technology credit guarantee has been evaluated focusing on the probability of default (PD) on the fund recipient companies. But PD itself does not reflect the amount of loss. In this paper, we suggest the way to find the expected loss using the PD, Exposure at Default and Loss Given Default for risk management of the TCGF. Unlike general credit measure, we use the competing risk model in order to estimate the PD for various types of defaults. It is expected that our study can contribute to provide the efficient credit risk management for TCGF and the lending institution.

Suggested Citation

  • H J Jeon & S Y Sohn, 2008. "The risk management for technology credit guarantee fund," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(12), pages 1624-1632, December.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:12:d:10.1057_palgrave.jors.2602506
    DOI: 10.1057/palgrave.jors.2602506
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    References listed on IDEAS

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    1. S M Finlay, 2006. "Predictive models of expenditure and over-indebtedness for assessing the affordability of new consumer credit applications," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 655-669, June.
    2. Edward I. Altman, 1998. "Credit Risk Measurement and Management: The Ironic Challenge in the Next Decade," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-003, New York University, Leonard N. Stern School of Business-.
    3. repec:bla:jfinan:v:44:y:1989:i:4:p:923-52 is not listed on IDEAS
    4. repec:bla:jfinan:v:44:y:1989:i:4:p:909-22 is not listed on IDEAS
    5. Zhao, Longkai, 2004. "Corporate risk management and asymmetric information," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(5), pages 727-750, December.
    6. Rafael La Porta & Florencio Lopez-de-Silanes & Guillermo Zamarripa, 2003. "Related Lending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 231-268.
    7. Andrea Sironi & Cristiano Zazzara, 2003. "The Basel Committee proposals for a new capital accord: implications for Italian banks," Review of Financial Economics, John Wiley & Sons, vol. 12(1), pages 99-126.
    8. Dermine, J. & de Carvalho, C. Neto, 2006. "Bank loan losses-given-default: A case study," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1219-1243, April.
    9. Westgaard, Sjur & van der Wijst, Nico, 2001. "Default probabilities in a corporate bank portfolio: A logistic model approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 338-349, December.
    10. Carey, Mark & Hrycay, Mark, 2001. "Parameterizing credit risk models with rating data," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 197-270, January.
    11. Altman, Edward I. & Suggitt, Heather J., 2000. "Default rates in the syndicated bank loan market: A mortality analysis," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 229-253, January.
    12. L N Allen & L C Rose, 2006. "Financial survival analysis of defaulted debtors," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 630-636, June.
    13. Linda Allen & Anthony Saunders, 2003. "A survey of cyclical effects in credit risk measurement model," BIS Working Papers 126, Bank for International Settlements.
    14. Smith, Clifford W. & Stulz, René M., 1985. "The Determinants of Firms' Hedging Policies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 391-405, December.
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    Cited by:

    1. T H Moon & S Y Sohn, 2010. "Technology credit scoring model considering both SME characteristics and economic conditions: The Korean case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 666-675, April.
    2. Yonghan Ju & So Young Sohn, 2015. "Stress test for a technology credit guarantee fund based on survival analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(3), pages 463-475, March.
    3. T H Moon & Y Kim & S Y Sohn, 2011. "Technology credit rating system for funding SMEs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 608-615, April.
    4. Ruzhi Xu & Tingting Guo & Huawei Zhao, 2022. "Research on the Path of Policy Financing Guarantee to Promote SMEs’ Green Technology Innovation," Mathematics, MDPI, vol. 10(4), pages 1-24, February.
    5. Yonghan Ju & So Young Sohn, 2017. "Technology Credit Scoring Based on a Quantification Method," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    6. Kim, Hong Sik & Sohn, So Young, 2010. "Support vector machines for default prediction of SMEs based on technology credit," European Journal of Operational Research, Elsevier, vol. 201(3), pages 838-846, March.
    7. Jong Wook Lee & So Young Sohn, 2021. "Evaluating borrowers’ default risk with a spatial probit model reflecting the distance in their relational network," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-11, December.
    8. 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.
    9. Ju, Yonghan & Jeon, Song Yi & Sohn, So Young, 2015. "Behavioral technology credit scoring model with time-dependent covariates for stress test," European Journal of Operational Research, Elsevier, vol. 242(3), pages 910-919.
    10. So Sohn & Yoon Kim, 2013. "Behavioral credit scoring model for technology-based firms that considers uncertain financial ratios obtained from relationship banking," Small Business Economics, Springer, vol. 41(4), pages 931-943, December.

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