IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v59y2008i12d10.1057_palgrave.jors.2602506.html
   My bibliography  Save this article

The risk management for technology credit guarantee fund

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2602506
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2602506?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. Asquith, Paul & Mullins, David W, Jr & Wolff, Eric D, 1989. " Original Issue High Yield Bonds: Aging Analyses of Defaults, Exchanges, and Calls," Journal of Finance, American Finance Association, vol. 44(4), pages 923-952, September.
    2. 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.
    3. Carey, Mark & Hrycay, Mark, 2001. "Parameterizing credit risk models with rating data," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 197-270, January.
    4. 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.
    5. Linda Allen & Anthony Saunders, 2003. "A survey of cyclical effects in credit risk measurement model," BIS Working Papers 126, Bank for International Settlements.
    6. Sironi, Andrea & Zazzara, Cristiano, 2003. "The Basel Committee proposals for a new capital accord: implications for Italian banks," Review of Financial Economics, Elsevier, vol. 12(1), pages 99-126.
    7. 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.
    8. 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-.
    9. Altman, Edward I, 1989. " Measuring Corporate Bond Mortality and Performance," Journal of Finance, American Finance Association, vol. 44(4), pages 909-922, September.
    10. Zhao, Longkai, 2004. "Corporate risk management and asymmetric information," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(5), pages 727-750, December.
    11. 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.
    12. 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.
    13. 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.
    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.
    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. 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.

    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. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    2. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    3. Park, Yun W. & Bang, Doo Won, 2014. "Loss given default of residential mortgages in a low LTV regime: Role of foreclosure auction process and housing market cycles," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 192-210.
    4. Diego Valderrama & Katheryn N. Russ, 2009. "A Theory of Banks, Bonds, and the Distribution of Firm Size," Working Papers 4, University of California, Davis, Department of Economics.
    5. Dermine, J. & Neto de Carvalho, C., 2008. "Bank loan-loss provisioning, central bank rules vs. estimation: The case of Portugal," Journal of Financial Stability, Elsevier, vol. 4(1), pages 1-22, April.
    6. 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.
    7. L. Smith & Baiqiang Jin, 2007. "Modeling exposure to losses on automobile leases," Review of Quantitative Finance and Accounting, Springer, vol. 29(3), pages 241-266, October.
    8. González, Marta Ramos & Ureña, Antonio Partal & Fernández-Aguado, Pilar Gómez, 2018. "Proposal on ELBE and LGD in-default: tackling capital requirements after the financial crisis," Working Paper Series 2165, European Central Bank.
    9. Van Laere, Elisabeth & Baesens, Bart, 2010. "The development of a simple and intuitive rating system under Solvency II," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 500-510, June.
    10. Marta Ramos González & Antonio Partal Ureña & Pilar Gómez Fernández-Aguado, 2021. "Regulatory Estimates for Defaulted Exposures: A Case Study of Spanish Mortgages," Mathematics, MDPI, vol. 9(9), pages 1-9, April.
    11. Russ, Katheryn N. & Valderrama, Diego, 2012. "A theory of bank versus bond finance and intra-industry reallocation," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 652-673.
    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. Alexander Peter Groh & Oliver Gottschalg, 2008. "The Opportunity Cost of Capital of US Buyouts," NBER Working Papers 14148, National Bureau of Economic Research, Inc.
    14. Augusto Castillo R., 2001. "Long-Run Performance Of Stock Returns Following Junk Bond Offerings," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 4(1), pages 95-129.
    15. Edward I. Altman, 1996. "Corporate Bond and Commercial Loan Portfolio Analysis," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-6, New York University, Leonard N. Stern School of Business-.
    16. Hentschel, Ludger & Smith, Clifford Jr., 1997. "Derivatives regulation: Implications for central banks," Journal of Monetary Economics, Elsevier, vol. 40(2), pages 305-346, October.
    17. Chen, Rongda & Zhou, Hanxian & Jin, Chenglu & Zheng, Wei, 2019. "Modeling of recovery rate for a given default by non-parametric method," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    18. Peter-Hendrik Ingermann & Frederik Hesse & Christian Bélorgey & Andreas Pfingsten, 2016. "The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 179-228, August.
    19. Fidrmuc, Jarko & Hainz, Christa, 2010. "Default rates in the loan market for SMEs: Evidence from Slovakia," Economic Systems, Elsevier, vol. 34(2), pages 133-147, June.
    20. Zhixin Liu & Ping He & Bo Chen, 2019. "A Markov decision model for consumer term-loan collections," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 1043-1064, May.

    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:pal:jorsoc:v:59:y:2008:i:12:d:10.1057_palgrave.jors.2602506. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.