El Índice Cartera Vencida como Medida de Riesgo de Crédito: Análisis y Aplicación al Caso de Chile
This paper proposes the non-performing loans (NPL) ratio, defined as the change in the stock of NPL adjusted by write-offs and standardized by loans, as the main measure to be used for modeling the credit risk of the Chilean banking system. In particular, the paper identifies certain statistical and conceptual advantages of this measure with respect to loan loss provisions (LLP), which support this idea. First, the NPL ratio by type of credit covers a greater time span than LLP. Second, the forward-looking nature of LLP –one of its main advantages over the NPL ratio– is applicable only from 2004 onward due to various changes in Chilean reporting standards. Third, LLP is discretionary because provisioning is made on the basis of relative risk aversion of banks. Fourth, the NPL ratio produces smoother series than LLP for consumer and mortgage loans. In addition, the dynamic structure observed in both time series does not differ significantly. The econometric model estimated for the period January 1997 to June 2010 shows that the NPL ratio has statistically significant relations with macroeconomic aggregates such as the annual output growth, the short and long term interest rates, the annual inflation rate, the peso-dollar exchange rate, and the surprises in credit growth. Finally, the out-of-sample forecasts indicate differences between the actual and projected NPL ratios that are economically significant only in the case of mortgage credit. For the remaining portfolios, the evolution of this ratio during the period of July 2008 to June 2010 does not differ significantly from that predicted by the econometric model.
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- Richard Meese & Kenneth Rogoff, 1983.
"The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?,"
NBER Chapters,in: Exchange Rates and International Macroeconomics, pages 67-112
National Bureau of Economic Research, Inc.
- Richard Meese & Kenneth Rogoff & Jacob Frenkel, "undated". "The Out-of-Sample Failure of Empirical Exchange Rate Models: Sampling Error or Misspecification?," Working Paper 32044, Harvard University OpenScholar.
- Richard Meese & Kenneth S. Rogoff, 1982. "The out-of-sample failure of empirical exchange rate models: sampling error or misspecification?," International Finance Discussion Papers 204, Board of Governors of the Federal Reserve System (U.S.).
- Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
- Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Canlin Li, 2003. "Forecasting the Term Structure of Government Bond Yields," NBER Working Papers 10048, National Bureau of Economic Research, Inc.
- Diebold, Francis X. & Li, Canlin, 2003. "Forecasting the term structure of government bond yields," CFS Working Paper Series 2004/09, Center for Financial Studies (CFS).
- Dell'Ariccia, Giovanni & Detragiache, Enrica & Rajan, Raghuram, 2008. "The real effect of banking crises," Journal of Financial Intermediation, Elsevier, vol. 17(1), pages 89-112, January.
- Giovanni Dell'Ariccia & Raghuram Rajan & Enrica Detragiache, 2005. "The Real Effect of Banking Crises," IMF Working Papers 05/63, International Monetary Fund.
- DellAriccia, Giovanni & Detragiache, Enrica & Rajan, Raghuram G, 2005. "The Real Effect of Banking Crises," CEPR Discussion Papers 5088, C.E.P.R. Discussion Papers.
- José Miguel Matus & Nancy Silva & Alejandra Marinovic & Karla Flores, 2010. "Una Visión Global de la Deuda Financiera de los Hogares Chilenos en la Última Década," Economic Statistics Series 81, Central Bank of Chile.
- Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Rodrigo Alfaro & Natalia Gallardo & Roberto Stein, 2010. "The Determinants of Household Debt Defa," Working Papers Central Bank of Chile 574, Central Bank of Chile.
- O. Emre Ergungor & James B. Thomson, 2005. "Systemic banking crises," Policy Discussion Papers, Federal Reserve Bank of Cleveland, issue Feb.
- Rinaldi, Laura & Sanchis-Arellano, Alicia, 2006. "Household debt sustainability: what explains household non-performing loans? An empirical analysis," Working Paper Series 570, European Central Bank.
- Daniel C. Hardy & Ceyla Pazarbasioglu, 1999. "Determinants and Leading Indicators of Banking Crises: Further Evidence," IMF Staff Papers, Palgrave Macmillan, vol. 46(3), pages 1-1.
- Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
- Hoggarth, Glenn & Reis, Ricardo & Saporta, Victoria, 2002. "Costs of banking system instability: Some empirical evidence," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 825-855, May.
- Glenn Hoggarth & Ricardo Reis & Victoria Saporta, 2001. "Costs of banking system instability: some empirical evidence," Bank of England working papers 144, Bank of England.