Measurement of the Credit Risk
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Berkowitz, Jeremy, 2001. "Testing Density Forecasts, with Applications to Risk Management," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(4), pages 465-474, October.
- Treacy, William F. & Carey, Mark, 2000. "Credit risk rating systems at large US banks," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 167-201, January.
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.- Rosch, Daniel, 2005. "An empirical comparison of default risk forecasts from alternative credit rating philosophies," International Journal of Forecasting, Elsevier, vol. 21(1), pages 37-51.
- Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
- Li, Xiao-Ming & Rose, Lawrence C., 2009. "The tail risk of emerging stock markets," Emerging Markets Review, Elsevier, vol. 10(4), pages 242-256, December.
- Juan Carlos Escanciano & Zaichao Du, 2015. "Backtesting Expected Shortfall: Accounting for Tail Risk," CAEPR Working Papers 2015-001, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- M. Hashem Pesaran & Paolo Zaffaroni, 2004.
"Model Averaging and Value-at-Risk Based Evaluation of Large Multi Asset Volatility Models for Risk Management,"
CESifo Working Paper Series
1358, CESifo.
- Pesaran, M. Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
- M. Hashem Pesaran & Paolo Zaffaroni, 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," IEPR Working Papers 04.3, Institute of Economic Policy Research (IEPR).
- Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group.
- Giampaolo Gabbi & Andrea Sironi, 2005. "Which factors affect corporate bonds pricing? Empirical evidence from eurobonds primary market spreads," The European Journal of Finance, Taylor & Francis Journals, vol. 11(1), pages 59-74.
- Andrea Sironi, 2001.
"An Analysis of European Banks' SND Issues and its Implications for the Design of a Mandatory Subordinated Debt Policy,"
Journal of Financial Services Research, Springer;Western Finance Association, vol. 20(2), pages 233-266, October.
- Andrea Sironi, 2000. "An analysis of European banks SND issues and its implications for the design of a mandatory subordinated debt policy," Finance and Economics Discussion Series 2000-41, Board of Governors of the Federal Reserve System (U.S.).
- Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2015.
"The out-of-sample forecasting performance of nonlinear models of regional housing prices in the US,"
Applied Economics, Taylor & Francis Journals, vol. 47(22), pages 2259-2277, May.
- Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 201226, University of Pretoria, Department of Economics.
- Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 1209, University of Nevada, Las Vegas , Department of Economics.
- Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working papers 2012-12, University of Connecticut, Department of Economics.
- Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 15-27, Eastern Mediterranean University, Department of Economics.
- Markus Haas & Stefan Mittnik & Marc Paolella, 2006.
"Modelling and predicting market risk with Laplace-Gaussian mixture distributions,"
Applied Financial Economics, Taylor & Francis Journals, vol. 16(15), pages 1145-1162.
- Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2005. "Modeling and predicting market risk with Laplace-Gaussian mixture distributions," CFS Working Paper Series 2005/11, Center for Financial Studies (CFS).
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2010.
"Combining predictive densities using Bayesian filtering with applications to US economics data,"
Working Paper
2010/29, Norges Bank.
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Combining predictive densities using Bayesian filtering with applications to US economic data," Working Papers 2012_16, Department of Economics, University of Venice "Ca' Foscari".
- Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Bayesian Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-003/4, Tinbergen Institute.
- Miguel A. Ferreira, 2005.
"Evaluating Interest Rate Covariance Models Within a Value-at-Risk Framework,"
Journal of Financial Econometrics, Oxford University Press, vol. 3(1), pages 126-168.
- Miguel A. Ferreira & Jose A. Lopez, 2004. "Evaluating interest rate covariance models within a value-at-risk framework," Working Paper Series 2004-03, Federal Reserve Bank of San Francisco.
- Ricardo Crisóstomo, 2021.
"Estimating real‐world probabilities: A forward‐looking behavioral framework,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
- Ricardo Cris'ostomo, 2020. "Estimating real-world probabilities: A forward-looking behavioral framework," Papers 2012.09041, arXiv.org, revised Jan 2021.
- Ricardo Crisóstomo, 2021. "Estimating real word probabilities: a forward-looking behavioral framework," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
- Anne Sofie Jore & James Mitchell & Shaun P. Vahey, 2010.
"Combining forecast densities from VARs with uncertain instabilities,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 621-634.
- Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008. "Combining Forecast Densities from VARs with Uncertain Instabilities," Reserve Bank of New Zealand Discussion Paper Series DP2008/18, Reserve Bank of New Zealand.
- Anne-Sofie Jore & James Mitchell & Shaun P. Vahey, 2008. "Combining forecast densities from VARs with uncertain instabilities," Working Paper 2008/01, Norges Bank.
- Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
- Borowska, Agnieszka & Hoogerheide, Lennart & Koopman, Siem Jan & van Dijk, Herman K., 2020.
"Partially censored posterior for robust and efficient risk evaluation,"
Journal of Econometrics, Elsevier, vol. 217(2), pages 335-355.
- Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman K. van Dijk, 2019. "Partially Censored Posterior for robust and efficient risk evaluation," Working Paper 2019/12, Norges Bank.
- Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman van Dijk, 2019. "Partially Censored Posterior for Robust and Efficient Risk Evaluation," Tinbergen Institute Discussion Papers 19-057/III, Tinbergen Institute.
- Francisco Peñaranda, 2004. "Are Vector Autoregressions an Accurate Model for Dynamic Asset Allocation?," Working Papers wp2004_0419, CEMFI.
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2014.
"Nowcasting GDP in Real Time: A Density Combination Approach,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 48-68, January.
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in Real-Time: A Density Combination Approach," Working Papers No 1/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Lazar, Emese & Zhang, Ning, 2019.
"Model risk of expected shortfall,"
Journal of Banking & Finance, Elsevier, vol. 105(C), pages 74-93.
- Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
- Knotek, Edward S. & Zaman, Saeed, 2023.
"Real-time density nowcasts of US inflation: A model combination approach,"
International Journal of Forecasting, Elsevier, vol. 39(4), pages 1736-1760.
- Edward Knotek & Saeed Zaman, 2020. "Real-time density nowcasts of US inflation: a model-combination approach," Working Papers 2015, University of Strathclyde Business School, Department of Economics.
- Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
- Giot, Pierre & Petitjean, Mikael, 2007.
"The information content of the Bond-Equity Yield Ratio: Better than a random walk?,"
International Journal of Forecasting, Elsevier, vol. 23(2), pages 289-305.
- GIOT, Pierre & PETITJEAN, Mikael, 2006. "The information content of the Bond-Equity Yield Ratio: better than a random walk?," LIDAM Discussion Papers CORE 2006089, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- GIOT, Pierre & PETITJEAN, Mikael, 2007. "The information content of the Bond-Equity Yield Ratio: Better than a random walk?," LIDAM Reprints CORE 1982, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
More about this item
Keywords
credit risk; methods of analysis; capital market; statistical methods;All these keywords.
Statistics
Access and download statisticsCorrections
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:rsr:supplm:v:61:y:2013:i:3:p:73-80. 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: Adrian Visoiu (email available below). General contact details of provider: https://edirc.repec.org/data/stagvro.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.