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Loss given default of high loan-to-value residential mortgages

Citations

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Cited by:

  1. Yao, Xiao & Crook, Jonathan & Andreeva, Galina, 2015. "Support vector regression for loss given default modelling," European Journal of Operational Research, Elsevier, vol. 240(2), pages 528-538.
  2. Quinn Curtis, 2014. "State Foreclosure Laws and Mortgage Origination in the Subprime," The Journal of Real Estate Finance and Economics, Springer, vol. 49(3), pages 303-328, October.
  3. Ebrahim, M. Shahid & Shackleton, Mark B. & Wojakowski, Rafal M., 2011. "Participating mortgages and the efficiency of financial intermediation," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3042-3054, November.
  4. 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.
  5. Chang-Chih Chen & Chia-Chien Chang, 2019. "How Big are the Ambiguity-Based Premiums on Mortgage Insurances?," The Journal of Real Estate Finance and Economics, Springer, vol. 58(1), pages 133-157, January.
  6. Nicholas Garvin & Samuel Kurian & Mike Major & David Norman, 2022. "Macrofinancial Stress Testing on Australian Banks," RBA Research Discussion Papers rdp2022-03, Reserve Bank of Australia.
  7. Agata M. Lozinskaia & Evgeniy M. Ozhegov & Alexander M. Karminsky, 2016. "Discontinuity in Relative Credit Losses: Evidence from Defaults on Government-Insured Residential Mortgages," HSE Working papers WP BRP 55/FE/2016, National Research University Higher School of Economics.
  8. Siemsen, Thomas & Vilsmeier, Johannes, 2017. "A stress test framework for the German residential mortgage market: Methodology and application," Discussion Papers 37/2017, Deutsche Bundesbank.
  9. Ming-Tsung Hung & Huai-Chun Lo, 2024. "Risk Analysis of Mortgage Loan Default for Bank Customers and AI Machine Learning," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(6), pages 1-3.
  10. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
  11. Bhardwaj, Geetesh & Sengupta, Rajdeep, 2012. "Subprime mortgage design," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1503-1519.
  12. Eugenio Caverzasi & Daniele Tori, 2018. "The Financial Innovation Hypothesis: Schumpeter, Minsky and the sub-prime mortgage crisis," Working Papers PKWP1815, Post Keynesian Economics Society (PKES).
  13. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
  14. Nataliya Barasinska & Philipp Haenle & Anne Koban & Alexander Schmidt, 2023. "No Reason to Worry About German Mortgages? An Analysis of Macroeconomic and Individual Drivers of Credit Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(3), pages 369-399, December.
  15. Chiang, Shu Ling & Yang, Tyler T. & Tsai, Ming Shann, 2016. "Assessing mortgage servicing rights using a reduced-form model: Considering the effects of interest rate risks, prepayment and default risks, and random state variables," Journal of Housing Economics, Elsevier, vol. 32(C), pages 29-46.
  16. Cheng, Hui & Jiang, Cuiqing & Wang, Zhao & Ni, Xiaoya, 2025. "Multi-view locally weighted regression for loss given default forecasting," International Journal of Forecasting, Elsevier, vol. 41(1), pages 290-306.
  17. Daniel R÷Sch & Harald Scheule, 2010. "Downturn Credit Portfolio Risk, Regulatory Capital and Prudential Incentives-super-," International Review of Finance, International Review of Finance Ltd., vol. 10(Financial), pages 185-207.
  18. Asish Saha & Hock-Eam Lim & Goh-Yeok Siew, 2021. "Housing Loan Repayment Behaviour in Malaysia: An Analytical Insight," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 1-19, September.
  19. Barasinska, Nataliya & Haenle, Philipp & Koban, Anne & Schmidt, Alexander, 2019. "Stress testing the German mortgage market," Discussion Papers 17/2019, Deutsche Bundesbank.
  20. Yavas, Abdullah & Zhu, Shuang, 2024. "Private mortgage securitization and adverse selection—New evidence from expected loan losses," Journal of Banking & Finance, Elsevier, vol. 162(C).
  21. 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.
  22. Hott, Christian, 2015. "A model of mortgage losses and its applications for macroprudential instruments," Journal of Financial Stability, Elsevier, vol. 16(C), pages 183-194.
  23. Kelly, Robert & McCann, Fergal, 2016. "Some defaults are deeper than others: Understanding long-term mortgage arrears," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 15-27.
  24. Andrew Linn & Ronan C. Lyons, 2020. "Three Triggers? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 549-575, November.
  25. Xudong An & Lawrence R. Cordell, 2017. "Regime Shift And The Post-Crisis World Of Mortgage Loss Severities," Working Papers 17-8, Federal Reserve Bank of Philadelphia.
  26. Kuo‐Shing Chen & J. Jimmy Yang, 2020. "Housing Price Dynamics, Mortgage Credit and Reverse Mortgage Demand: Theory and Empirical Evidence," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 599-632, June.
  27. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2016. "What drives the time to resolution of defaulted bank loans?," Finance Research Letters, Elsevier, vol. 18(C), pages 7-31.
  28. Niedermayer, Andreas & Shneyerov, Artyom & Xu, Pia, 2015. "Foreclosure Auctions," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 522, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
  29. Sampagnaro, Gabriele & Battaglia, Francesca, 2010. "Reliability and Heterogeneity of Real Estate Indexes and their Impact on the Predictability of Returns," MPRA Paper 23378, University Library of Munich, Germany.
  30. Matthias Bodenstedt & Daniel R�sch & Harald Scheule, 2013. "The path to impairment: do credit-rating agencies anticipate default events of structured finance transactions?," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 841-860, October.
  31. Bellotti, Anthony & Brigo, Damiano & Gambetti, Paolo & Vrins, Frédéric, 2021. "Forecasting recovery rates on non-performing loans with machine learning," International Journal of Forecasting, Elsevier, vol. 37(1), pages 428-444.
  32. Xudong An & Lawrence R. Cordell, 2020. "Mortgage Loss Severities: What Keeps Them So High?," Working Papers 20-37, Federal Reserve Bank of Philadelphia.
  33. Xudong An & Larry Cordell, 2021. "Mortgage loss severities: What keeps them so high?," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(3), pages 809-842, September.
  34. Rösch, Daniel & Scheule, Harald, 2009. "The Empirical Relation between Credit Quality, Recovery and Correlation," Hannover Economic Papers (HEP) dp-418, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  35. Buesa, Alejandro & Población García, Francisco Javier & Tarancón, Javier, 2019. "Measuring the procyclicality of impairment accounting regimes: a comparison between IFRS 9 and US GAAP," Working Paper Series 2347, European Central Bank.
  36. Tong, Edward N.C. & Mues, Christophe & Thomas, Lyn, 2013. "A zero-adjusted gamma model for mortgage loan loss given default," International Journal of Forecasting, Elsevier, vol. 29(4), pages 548-562.
  37. Milonas, Kristoffer, 2017. "The effect of foreclosure laws on securitization: Evidence from U.S. states," Journal of Financial Stability, Elsevier, vol. 33(C), pages 1-22.
  38. Bank for International Settlements, 2011. "Portfolio and risk management for central banks and sovereign wealth funds," BIS Papers, Bank for International Settlements, number 58.
  39. Hung Xuan Do & Daniel Rösch & Harald Scheule, 2020. "Liquidity Constraints, Home Equity and Residential Mortgage Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 208-246, August.
  40. 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.
  41. Eric Higgins & Abdullah Yavas & Shuang Zhu, 2022. "Private mortgage securitization and loss given default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(5), pages 1334-1359, September.
  42. Arnab Biswas & Hamilton Fout & Anthony Pennington-Cross, 2023. "Mortgage Losses under Alternative Property Disposition Approaches: Deed-in-Lieu, Short Sales, and Foreclosure Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 66(3), pages 603-635, April.
  43. Been, Vicki & Weselcouch, Mary & Voicu, Ioan & Murff, Scott, 2013. "Determinants of the incidence of U.S. Mortgage Loan Modifications," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3951-3973.
  44. Benjamin Bade & Daniel Rösch & Harald Scheule, 2011. "Default and Recovery Risk Dependencies in a Simple Credit Risk Model," European Financial Management, European Financial Management Association, vol. 17(1), pages 120-144, January.
  45. Asish Saha & Hock-Eam Lim & Goh-Yeok Siew, 2021. "Housing Loan Repayment Behaviour in Malaysia: An Analytical Insight," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(2), pages 141-159, September.
  46. Reite, Endre J., 2022. "Information asymmetry between banks, rent extraction, and switching in mortgage lending," Finance Research Letters, Elsevier, vol. 50(C).
  47. Nithi Sopitpongstorn & Param Silvapulle & Jiti Gao, 2017. "Local logit regression for recovery rate," Monash Econometrics and Business Statistics Working Papers 19/17, Monash University, Department of Econometrics and Business Statistics.
  48. Bastos, João A., 2010. "Forecasting bank loans loss-given-default," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2510-2517, October.
  49. Daniel Rösch & Harald Scheule, 2011. "Securitization rating performance and agency incentives," BIS Papers chapters, in: Bank for International Settlements (ed.), Portfolio and risk management for central banks and sovereign wealth funds, volume 58, pages 287-314, Bank for International Settlements.
  50. Qianqian Cao & Shimeng Liu, 2015. "The Impact of State Foreclosure and Bankruptcy Laws on Higher-Risk Lending: Evidence from FHA and Subprime Mortgage Originations," Working Paper 9411, USC Lusk Center for Real Estate.
  51. Shu Ling Chiang & Ming Shann Tsai & Shan Jiang, 2021. "The Influences of Foreclosure Factors on the Value, Yield, Duration and Convexity of a Mortgage," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(S2), pages 361-394, September.
  52. Zhang, Jie & Thomas, Lyn C., 2012. "Comparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGD," International Journal of Forecasting, Elsevier, vol. 28(1), pages 204-215.
  53. Kim, Kyung-Hwan & You, Seung Dong, 2021. "The Global Financial Crisis and transition out of homeownership in Korea," Journal of Housing Economics, Elsevier, vol. 54(C).
  54. 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.
  55. Gornall, Will & Strebulaev, Ilya A., 2018. "Financing as a supply chain: The capital structure of banks and borrowers," Journal of Financial Economics, Elsevier, vol. 129(3), pages 510-530.
  56. Tracy, Joseph & Wright, Joshua, 2016. "Payment changes and default risk: The impact of refinancing on expected credit losses," Journal of Urban Economics, Elsevier, vol. 93(C), pages 60-70.
  57. 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).
  58. Cho Daniel & Hanewald Katja & Sherris Michael, 2015. "Risk Analysis for Reverse Mortgages with Different Payout Designs," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 9(1), pages 77-105, January.
  59. S. Belgin Akçay & Mert Akyüz, 2024. "Why Did House Prices Go Up During COVID-19 Pandemic? Policy-Driven or Market-Driven?," International Real Estate Review, Global Social Science Institute, vol. 27(2), pages 303-328.
  60. Jonathan Kearns & Mike Major & David Norman, 2021. "How Risky Is Australian Household Debt?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(3), pages 313-330, September.
  61. Andersson, Fredrik & Mayock, Tom, 2014. "Loss severities on residential real estate debt during the Great Recession," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 266-284.
  62. Wei, Li & Yuan, Zhongyi, 2016. "The loss given default of a low-default portfolio with weak contagion," Insurance: Mathematics and Economics, Elsevier, vol. 66(C), pages 113-123.
  63. Shi, Xiaojun & Tang, Qihe & Yuan, Zhongyi, 2017. "A limit distribution of credit portfolio losses with low default probabilities," Insurance: Mathematics and Economics, Elsevier, vol. 73(C), pages 156-167.
  64. Qi, Min & Zhao, Xinlei, 2011. "Comparison of modeling methods for Loss Given Default," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2842-2855, November.
  65. Lozinskaia Agata & Ozhegov Evgeniy, 2016. "Key Determinants of Demand, Credit Underwriting, and Performance on Government-Insured Mortgage Loans in Russia," EERC Working Paper Series 16/03e, EERC Research Network, Russia and CIS.
  66. Yao, Xiao & Crook, Jonathan & Andreeva, Galina, 2017. "Enhancing two-stage modelling methodology for loss given default with support vector machines," European Journal of Operational Research, Elsevier, vol. 263(2), pages 679-689.
  67. 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.
  68. Martin Hauptfleisch, 2019. "Financial Decision-Making Using Data," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2019, January-A.
  69. Jennifer Betz & Ralf Kellner & Daniel Rösch, 2021. "Time matters: How default resolution times impact final loss rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 619-644, June.
  70. 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.
  71. Wolter, Marcus & Rösch, Daniel, 2014. "Cure events in default prediction," European Journal of Operational Research, Elsevier, vol. 238(3), pages 846-857.
  72. Rubén García-Céspedes & Manuel Moreno, 2020. "Random LGD adjustments in the Vasicek credit risk model," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1856-1875, December.
  73. Yang, Chih-Yuan & Chang, Chia-Chien, 2024. "Do economic uncertainty and persistence in housing prices matter on mortgage insurance?," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 33-44.
  74. Yurchenko, Yurii, 2019. "The impact of macroeconomic factors on collateral value within the framework of expected credit loss calculation," MPRA Paper 97135, University Library of Munich, Germany.
  75. Francesca Castelli & Damien Moore & Gabriel Ehrlich & Jeffrey Perry, 2014. "Modeling the Budgetary Costs of FHA's Single Family Mortgage Insurance: Working Paper 2014-05," Working Papers 45711, Congressional Budget Office.
  76. Emily Johnston Ross & Lynn Shibut, 2021. "Loss Given Default, Loan Seasoning and Financial Fragility: Evidence from Commercial Real Estate Loans at Failed Banks," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 630-661, November.
  77. Starosta, Wojciech, 2021. "Loss given default decomposition using mixture distributions of in-default events," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1187-1199.
  78. Tsai, Ming Shann & Chiang, Shu Ling & Miller, Chen, 2016. "A study on the distribution of the foreclosure lag, its expected capital opportunity cost and its analyses," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 156-170.
  79. Jorge E. Galán & Matías Lamas, 2019. "Beyond the LTV ratio: new macroprudential lessons from Spain," Working Papers 1931, Banco de España.
  80. Ranisavljević Duško & Hadžić Miroljub, 2016. "Realistic Evaluation of the Ratio: Loan-To-value – The Key to Minimising the Credit Risk," Economic Themes, Sciendo, vol. 54(3), pages 449-468, September.
  81. Johannes Kriebel & Kevin Yam, 2020. "Forecasting recoveries in debt collection: Debt collectors and information production," European Financial Management, European Financial Management Association, vol. 26(3), pages 537-559, June.
  82. Grant, Charles, 2010. "Evidence on the insurance effect of bankruptcy exemptions," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2247-2254, September.
  83. Ying Wu & Garvit Arora & Xuan Mei, 2024. "Using CPI in Loss Given Default Forecasting Models for Commercial Real Estate Portfolio," Papers 2402.15498, arXiv.org.
  84. Zhang, Shuai & Hou, Xinyu & Ba, Shusong, 2021. "What determines interest rates for bitcoin lending?," Research in International Business and Finance, Elsevier, vol. 58(C).
  85. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).
  86. Tobias Neumann, 2018. "Mortgages: estimating default correlation and forecasting default risk," Bank of England working papers 708, Bank of England.
  87. Patricia C. Mosser & Joseph Tracy & Joshua Wright, 2013. "The capital structure and governance of a mortgage securitization utility," Staff Reports 644, Federal Reserve Bank of New York.
  88. Leow, Mindy & Mues, Christophe, 2012. "Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data," International Journal of Forecasting, Elsevier, vol. 28(1), pages 183-195.
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