IDEAS home Printed from https://ideas.repec.org/r/eee/jbfina/v34y2010i4p754-764.html
   My bibliography  Save this item

Recovery rates, default probabilities, and the credit cycle

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Nazemi, Abdolreza & Fatemi Pour, Farnoosh & Heidenreich, Konstantin & Fabozzi, Frank J., 2017. "Fuzzy decision fusion approach for loss-given-default modeling," European Journal of Operational Research, Elsevier, vol. 262(2), pages 780-791.
  2. Gambetti, Paolo & Gauthier, Geneviève & Vrins, Frédéric, 2019. "Recovery rates: Uncertainty certainly matters," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 371-383.
  3. Charitou, Andreas & Dionysiou, Dionysia & Lambertides, Neophytos & Trigeorgis, Lenos, 2013. "Alternative bankruptcy prediction models using option-pricing theory," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2329-2341.
  4. Gábor Vadas, 2007. "Wealth portfolio of Hungarian households – Urban legends and facts," MNB Occasional Papers 2007/68, Magyar Nemzeti Bank (Central Bank of Hungary).
  5. Mathieu Gatumel & Florian Ielpo, 2014. "The Number Of Regimes Across Asset Returns: Identification And Economic Value," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1-25.
  6. Kamber, Güneş & Thoenissen, Christoph, 2012. "The financial accelerator and monetary policy rules," Economics Letters, Elsevier, vol. 115(2), pages 309-313.
  7. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
  8. Pascal François, 2019. "The Determinants of Market-Implied Recovery Rates," Risks, MDPI, vol. 7(2), pages 1-15, May.
  9. Paolo Gambetti & Francesco Roccazzella & Frédéric Vrins, 2022. "Meta-Learning Approaches for Recovery Rate Prediction," Risks, MDPI, vol. 10(6), pages 1-29, June.
  10. Rafael Repullo & Javier Suarez, 2013. "The Procyclical Effects of Bank Capital Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 452-490.
  11. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2015. "Sample dependency during unconditional credit capital estimation," Finance Research Letters, Elsevier, vol. 15(C), pages 175-186.
  12. Jiménez, Gabriel & Mencía, Javier, 2009. "Modelling the distribution of credit losses with observable and latent factors," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 235-253, March.
  13. Wang, Hong & Forbes, Catherine S. & Fenech, Jean-Pierre & Vaz, John, 2020. "The determinants of bank loan recovery rates in good times and bad – New evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 875-897.
  14. Miroslav Plasil & Tomas Konecny & Jakub Seidler & Petr Hlavac, 2015. "In the Quest of Measuring the Financial Cycle," Working Papers 2015/05, Czech National Bank.
  15. Diana Bonfim & Daniel Dias, 2011. "What Happens After Default? Stylized Facts on Access to Credit," Working Papers w201101, Banco de Portugal, Economics and Research Department.
  16. Gourieroux, Christian & Lu, Yang, 2019. "Least impulse response estimator for stress test exercises," Journal of Banking & Finance, Elsevier, vol. 103(C), pages 62-77.
  17. Correia, Maria & Kang, Johnny & Richardson, Scott, 2018. "Asset volatility," LSE Research Online Documents on Economics 84405, London School of Economics and Political Science, LSE Library.
  18. Bart Keijsers & Bart Diris & Erik Kole, 2018. "Cyclicality in losses on bank loans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 533-552, June.
  19. Lee, Shih-Cheng & Lin, Chien-Ting & Yang, Chih-Kai, 2011. "The asymmetric behavior and procyclical impact of asset correlations," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2559-2568, October.
  20. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2015. "Capital cyclicality, conditional coverage and long-term capital assessment," Finance Research Letters, Elsevier, vol. 15(C), pages 246-256.
  21. Marcin Jaskowski & Michael McAleer, 2012. "Estimating implied recovery rates from the term structure of CDS spreads," KIER Working Papers 836, Kyoto University, Institute of Economic Research.
  22. So Yeon Chun & Miguel A. Lejeune, 2020. "Risk-Based Loan Pricing: Portfolio Optimization Approach with Marginal Risk Contribution," Management Science, INFORMS, vol. 66(8), pages 3735-3753, August.
  23. Zhang, Zhipeng, 2009. "Who Pulls the Plug? Theory and Evidence on Corporate Bankruptcy Decisions," MPRA Paper 17676, University Library of Munich, Germany, revised 05 Oct 2009.
  24. Dionne, Georges & Gauthier, Geneviève & Hammami, Khemais & Maurice, Mathieu & Simonato, Jean-Guy, 2011. "A reduced form model of default spreads with Markov-switching macroeconomic factors," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1984-2000, August.
  25. Dan Cheng & Pasquale Cirillo, 2019. "An Urn-Based Nonparametric Modeling of the Dependence between PD and LGD with an Application to Mortgages," Risks, MDPI, vol. 7(3), pages 1-21, July.
  26. Andrea Cipollini & Giuseppe Missaglia, 2008. "Measuring bank capital requirements through Dynamic Factor analysis," Center for Economic Research (RECent) 010, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
  27. Ildiko Orban & Oday Tamimi, 2020. "Accounting Model for Impairment under IFRS 9 and its Impact on Loss Allowance," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1259-1277.
  28. Candian, Giacomo & Dmitriev, Mikhail, 2020. "Default recovery rates and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
  29. Michael J. Fleming & Asani Sarkar, 2013. "The failure resolution of Lehman Brothers," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 175-206.
  30. Ballotta, Laura & Fusai, Gianluca & Marazzina, Daniele, 2019. "Integrated structural approach to Credit Value Adjustment," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1143-1157.
  31. Patrycja Chodnicka-Jaworska, 2018. "Banks credit ratings – is the size of the credit rating agency important?," Faculty of Management Working Paper Series 32018, University of Warsaw, Faculty of Management.
  32. Javier Zapata & Arturo Cifuentes, 2016. "On the Stability of Synthetic CDO Credit Ratings," International Finance, Wiley Blackwell, vol. 19(2), pages 201-218, June.
  33. Varotto, Simone, 2012. "Stress testing credit risk: The Great Depression scenario," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3133-3149.
  34. Stefan Kerbl & Michael Sigmund, 2011. "What Drives Aggregate Credit Risk?," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 22, pages 72-87.
  35. Tang, Dragon Yongjun & Yan, Hong, 2010. "Market conditions, default risk and credit spreads," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 743-753, April.
  36. Thamayanthi Chellathurai, 2017. "Probability Density Of Recovery Rate Given Default Of A Firm’S Debt And Its Constituent Tranches," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-34, June.
  37. Cangemi, Robert R. & Mason, Joseph R. & Pagano, Michael S., 2012. "Options-based structural model estimation of bond recovery rates," Journal of Financial Intermediation, Elsevier, vol. 21(3), pages 473-506.
  38. Pascal François & Weiyu Jiang, 2019. "Credit Value Adjustment with Market-implied Recovery," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(2), pages 145-166, October.
  39. Ms. Jodi G Scarlata & Mr. Juan Sole & Alicia Novoa, 2009. "Procyclicality and Fair Value Accounting," IMF Working Papers 2009/039, International Monetary Fund.
  40. Repullo, Rafael & Suarez, Javier, 2008. "The Procyclical Effects of Basel II," CEPR Discussion Papers 6862, C.E.P.R. Discussion Papers.
  41. Devjak Srečko, 2018. "Modeling of Cash Flows from Nonperforming Loans in a Commercial Bank," Naše gospodarstvo/Our economy, Sciendo, vol. 64(4), pages 3-9, December.
  42. Tomas Konecny & Jakub Seidler & Aelta Belyaeva & Konstantin Belyaev, 2017. "The Time Dimension of the Links Between Loss Given Default and the Macroeconomy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(6), pages 462-491, October.
  43. Iman van Lelyveld & Marco Spaltro, 2011. "Coordinating Bank Failure Costs and Financial Stability," DNB Working Papers 306, Netherlands Central Bank, Research Department.
  44. Hasan, Iftekhar & Politsidis, Panagiotis N. & Sharma, Zenu, 2021. "Global syndicated lending during the COVID-19 pandemic," Journal of Banking & Finance, Elsevier, vol. 133(C).
  45. Meng-Jou Lu & Cathy Yi-Hsuan Chen & Wolfgang Karl Härdle, 2017. "Copula-based factor model for credit risk analysis," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 949-971, November.
  46. Calabrese, Raffaella & Zenga, Michele, 2010. "Bank loan recovery rates: Measuring and nonparametric density estimation," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 903-911, May.
  47. Hasan, Iftekhar & Politsidis, Panagiotis & Sharma, Zenu, 2020. "Bank lending during the COVID-19 pandemic," MPRA Paper 103565, University Library of Munich, Germany.
  48. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2016. "Efficient estimation of unconditional capital by Monte Carlo simulation," Finance Research Letters, Elsevier, vol. 16(C), pages 75-84.
  49. Hertrich, Markus, 2015. "Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets," MPRA Paper 67837, University Library of Munich, Germany.
  50. Nazemi, Abdolreza & Baumann, Friedrich & Fabozzi, Frank J., 2022. "Intertemporal defaulted bond recoveries prediction via machine learning," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1162-1177.
  51. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
  52. Mora, Nada, 2015. "Creditor recovery: The macroeconomic dependence of industry equilibrium," Journal of Financial Stability, Elsevier, vol. 18(C), pages 172-186.
  53. Löffler, Gunter & Maurer, Alina, 2011. "Incorporating the dynamics of leverage into default prediction," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3351-3361.
  54. F. Wang & Ting Zhang, 2014. "Financial Crisis and Credit Crunch in the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 256-276, August.
  55. Abu, Benjamin Musah & Domanban, Paul Bata & Haruna, Issahaku, 2017. "Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach," MPRA Paper 101576, University Library of Munich, Germany, revised 12 Mar 2017.
  56. Bastos, João A., 2010. "Forecasting bank loans loss-given-default," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2510-2517, October.
  57. Kwon, Hyuck-Shin & Bang, Doo Won & Kim, Myeong Hyeon, 2017. "Korean Housing Cycle: Implications for Risk Management (Factor-augmented VAR Approach)," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 39(3), pages 43-62.
  58. Balázs Zsámboki, 2007. "Basel II and financial stability: An investigation of sensitivity and cyclicality of capital requirements based on QIS 5," MNB Occasional Papers 2007/67, Magyar Nemzeti Bank (Central Bank of Hungary).
  59. Wu, Yang-Che & Chung, San-Lin, 2010. "Catastrophe risk management with counterparty risk using alternative instruments," Insurance: Mathematics and Economics, Elsevier, vol. 47(2), pages 234-245, October.
  60. Raffaella Calabrese, 2012. "Estimating bank loans loss given default by generalized additive models," Working Papers 201224, Geary Institute, University College Dublin.
  61. Abdelkader Derbali & Lamia Jamel, 2019. "Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 711-733, June.
  62. Jorge Abad & Javier Suarez, 2018. "The Procyclicality of Expected Credit Loss Provisions," Working Papers wp2018_1806, CEMFI.
  63. Qi, Howard & Liu, Sheen & Wu, Chunchi, 2010. "Structural models of corporate bond pricing with personal taxes," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1700-1718, July.
  64. Hernandez Tinoco, Mario & Holmes, Phil & Wilson, Nick, 2018. "Polytomous response financial distress models: The role of accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 276-289.
  65. Sopitpongstorn, Nithi & Silvapulle, Param & Gao, Jiti & Fenech, Jean-Pierre, 2021. "Local logit regression for loan recovery rate," Journal of Banking & Finance, Elsevier, vol. 126(C).
  66. Bonfim, Diana & Dias, Daniel A. & Richmond, Christine, 2012. "What happens after corporate default? Stylized facts on access to credit," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2007-2025.
  67. Irresberger, Felix & Weiß, Gregor N.F. & Gabrysch, Janet & Gabrysch, Sandra, 2018. "Liquidity tail risk and credit default swap spreads," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1137-1153.
  68. Richard J Martin, 2011. "A CDS Option Miscellany," Papers 1201.0111, arXiv.org, revised May 2019.
  69. Jean-David Fermanian, 2020. "On the Dependence between Default Risk and Recovery Rates in Structural Models," Annals of Economics and Statistics, GENES, issue 140, pages 45-82.
  70. Joan Llull, 2008. "The Impact of Immigration on Productivity," Working Papers wp2008_0802, CEMFI.
  71. Xing, Haipeng & Sun, Ning & Chen, Ying, 2012. "Credit rating dynamics in the presence of unknown structural breaks," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 78-89.
  72. Yi-Ping Chang & Jing-Xiu Lin & Chih-Tun Yu, 2016. "Calculating Value-at-Risk Using the Granularity Adjustment Method in the Portfolio Credit Risk Model with Random Loss Given Default," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(2), pages 157-176, August.
  73. Yao, Xiao & Crook, Jonathan & Andreeva, Galina, 2017. "Is it obligor or instrument that explains recovery rate: Evidence from US corporate bond," Journal of Financial Stability, Elsevier, vol. 28(C), pages 1-15.
  74. Nada Mora, 2012. "What determines creditor recovery rates?," Economic Review, Federal Reserve Bank of Kansas City, vol. 97(Q II).
  75. Ang, James & Mauck, Nathan, 2011. "Fire sale acquisitions: Myth vs. reality," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 532-543, March.
  76. da-Silva, C.Q. & Migon, H.S. & Correia, L.T., 2011. "Dynamic Bayesian beta models," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2074-2089, June.
  77. Tsaig, Yaakov & Levy, Amnon & Wang, Yashan, 2011. "Analyzing the impact of credit migration in a portfolio setting," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3145-3157.
  78. Choi, Woon Gyu & Cook, David, 2012. "Fire sales and the financial accelerator," Journal of Monetary Economics, Elsevier, vol. 59(4), pages 336-351.
  79. Ethan Cohen-Cole, 2007. "Asset liquidity, debt valuation and credit risk," Supervisory Research and Analysis Working Papers QAU07-5, Federal Reserve Bank of Boston.
  80. Maria Correia & Johnny Kang & Scott Richardson, 2018. "Asset volatility," Review of Accounting Studies, Springer, vol. 23(1), pages 37-94, March.
  81. Schläfer, Timo & Uhrig-Homburg, Marliese, 2014. "Is recovery risk priced?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 257-270.
  82. Zhao, Hongbiao, 2011. "Portfolio credit risk of default and spread widening," LSE Research Online Documents on Economics 43451, London School of Economics and Political Science, LSE Library.
  83. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Corporate Loan Recovery Rates under Downturn Conditions in a Developing Economy: Evidence from Zimbabwe," Risks, MDPI, vol. 10(10), pages 1-24, October.
  84. Doumpos, Michalis & Andriosopoulos, Kostas & Galariotis, Emilios & Makridou, Georgia & Zopounidis, Constantin, 2017. "Corporate failure prediction in the European energy sector: A multicriteria approach and the effect of country characteristics," European Journal of Operational Research, Elsevier, vol. 262(1), pages 347-360.
  85. Daniel Rösch & Harald Scheule, 2014. "Forecasting Mortgage Securitization Risk Under Systematic Risk and Parameter Uncertainty," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(3), pages 563-586, September.
  86. Aretz, Kevin & Shackleton, Mark B., 2011. "Omitted debt risk, financial distress and the cross-section of expected equity returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1213-1227, May.
  87. Nazemi, Abdolreza & Fabozzi, Frank J., 2018. "Macroeconomic variable selection for creditor recovery rates," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 14-25.
  88. Giuseppe Orlando & Roberta Pelosi, 2020. "Non-Performing Loans for Italian Companies: When Time Matters. An Empirical Research on Estimating Probability to Default and Loss Given Default," IJFS, MDPI, vol. 8(4), pages 1-22, November.
  89. Alejandro Ferrer Pérez & José Casals Carro & Sonia Sotoca López, 2014. "A new approach to the unconditional measurement of default risk," Documentos de Trabajo del ICAE 2014-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  90. Lu, Meng-Jou & Chen, Cathy Yi-Hsuan & Härdle, Karl Wolfgang & Härdle, 2015. "Copula-Based Factor Model for Credit Risk Analysis," SFB 649 Discussion Papers SFB649DP2015-042, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  91. Rötheli, Tobias F., 2012. "Boundedly rational banks’ contribution to the credit cycle," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 730-737.
  92. Meng-Jou Lu & Cathy Yi-Hsuan Chen & Wolfgang Karl Hardle, 2020. "Copula-Based Factor Model for Credit Risk Analysis," Papers 2009.12092, arXiv.org, revised Oct 2020.
  93. Luca Bagnato & Antonio Punzo, 2013. "Finite mixtures of unimodal beta and gamma densities and the $$k$$ -bumps algorithm," Computational Statistics, Springer, vol. 28(4), pages 1571-1597, August.
  94. Han, Chulwoo & Jang, Youngmin, 2013. "Effects of debt collection practices on loss given default," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 21-31.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.