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Econometric Model to Estimate Defaults on Payment in the Spanish Financial Sector in Oliver Wyman¡¯s Stress Tests

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  • Salvador Climent-Serrano

Abstract

This work develops an econometric model based on the exogenous economic variables used in Oliver Wyman¡äs report. In this case the model is used in order to estimate late payments (NPLs) by Spanish credit entities. A model based on variables considered to be optimal to quantify impact on the NPLs is developed by studying the aforementioned variables, modifying them and eliminating any which are superfluous. Furthermore, whether or not the model is optimal for long periods of time is corroborated. This is due to the fact that the scenario in Oliver Wyman¡äs report from September 2012 (Wyman 2012) is based on 30 years of Spanish economical historical data, as stated in the report itself. The results indicate the variables that have impact on defaults. The increase in housing prices, the Madrid Stock Exchange Index, the Exchange Rate the euro against USD. The Euribor 12 months and the industries Credit to other residents, decreases the delinquency. The NPLs also fell by transfers from riskier assets to SAREB. However, these results are different if the economy is growing or in recession. So the results will not be optimal but the appropriate model is employed.

Suggested Citation

  • Salvador Climent-Serrano, 2017. "Econometric Model to Estimate Defaults on Payment in the Spanish Financial Sector in Oliver Wyman¡¯s Stress Tests," Applied Finance and Accounting, Redfame publishing, vol. 3(1), pages 24-35, February.
  • Handle: RePEc:rfa:afajnl:v:3:y:2017:i:1:p:24-35
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    References listed on IDEAS

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    1. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    2. Rime, Bertrand, 2001. "Capital requirements and bank behaviour: Empirical evidence for Switzerland," Journal of Banking & Finance, Elsevier, vol. 25(4), pages 789-805, April.
    3. Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
    4. Schuermann, Til, 2014. "Stress testing banks," International Journal of Forecasting, Elsevier, vol. 30(3), pages 717-728.
    5. Asli Demirgüč-Kunt, 1989. "Deposit-institution failures: a review of empirical literature," Economic Review, Federal Reserve Bank of Cleveland, vol. 25(Q IV), pages 2-18.
    6. Festic, Mejra & Kavkler, Alenka & Repina, Sebastijan, 2011. "The macroeconomic sources of systemic risk in the banking sectors of five new EU member states," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 310-322, February.
    7. Abdymomunov, Azamat & Gerlach, Jeffrey, 2014. "Stress testing interest rate risk exposure," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 287-301.
    8. Saibal Ghosh, 2005. "Does leverage influence banks' non-performing loans? Evidence from India," Applied Economics Letters, Taylor & Francis Journals, vol. 12(15), pages 913-918.
    9. Marco Sorge, 2004. "Stress-testing financial systems: an overview of current methodologies," BIS Working Papers 165, Bank for International Settlements.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    economic cycle; NPLs; Spanish banks; housing prices; unemployment; delinquency;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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