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

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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. 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.
  17. 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.
  18. Barasinska, Nataliya & Haenle, Philipp & Koban, Anne & Schmidt, Alexander, 2019. "Stress testing the German mortgage market," Discussion Papers 17/2019, Deutsche Bundesbank.
  19. 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).
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. Xudong An & Lawrence R. Cordell, 2020. "Mortgage Loss Severities: What Keeps Them So High?," Working Papers 20-37, Federal Reserve Bank of Philadelphia.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. Andrew Linn & Ronan C Lyons, 2018. "The Triple Trigger? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," Trinity Economics Papers tep0718, Trinity College Dublin, Department of Economics.
  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. Neumann, Tobias, 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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