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A zero-adjusted gamma model for mortgage loan loss given default
10 references·9 citing·40 second hop
A zero-adjusted gamma model for mortgage loan loss given default (2013)A zero-adjusted gamma model for mortgage …Loss given default models incorporating macroeconomic variables for credit cards (2011)Loss given default models inc…Comparison of modeling methods for Loss Given Default (2011)Comparison of modeling method…Benchmarking regression algorithms for loss given default modeling (2011)Benchmarking regression algor…Forecasting bank loans loss-given-default (2010)Forecasting bank loans loss-g…Comparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGD (2010)Comparisons of linear regress…Loss given default of high loan-to-value residential mortgages (2008)Loss given default of high lo…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…A Note on the Concordance Correlation Coefficient (2002)A Note on the Concordance Cor…A note on concordance correlation coefficient. (2000)A note on concordance correla…A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Concordance Correlation Coe…Predicting loss given default of unsecured consumer loans with time-varying survival scores (2023)Predicting loss given default…Predicting loss given default using post-default information (2021)Predicting loss given default…Local logit regression for loan recovery rate (2021)Local logit regression for lo…Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach (2021)Forecasting loss given defaul…Loss given default decomposition using mixture distributions of in-default events (2020)Loss given default decomposit…Predicting loss severities for residential mortgage loans: A three-step selection approach (2018)Predicting loss severities fo…Exposure at default models with and without the credit conversion factor (2016)Exposure at default models wi…Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data (2011)Predicting loss given default…Comparing debt characteristics and LGD models for different collections policies (2011)Comparing debt characteristic…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Market Segmentation: Conceptual and Methodological Foundations (1997)What Do We Know About Loss Given Default? (2004)Ultimate recovery mixtures (2013)Box office forecasting using machine learning algorithms based on SNS data (2015)Forecasting recovery rates on non-performing loans with machine learning (2020)Neural network credit scoring models (2000)Credit scoring with a data mining approach based on support vector machines (2006)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Credit Scoring and Its Applications (2002)Understanding Interaction Models: Improving Empirical Analyses (2005)Support vector regression for loss given default modelling (2014)Credit Scoring and Its Applications (2017)Enhancing two-stage modelling methodology for loss given default with support vector machines (2017)On the Pricing of Corporate Debt: The Risk Structure of Interest Rates (1974)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Merton, Robert C. (2010)Measuring Corporate Bond Mortality and Performance (1989)Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics (2006)Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries (2007)Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform (2020)Foreclosing on Opportunity: State Laws and Mortgage Credit (2006)Theories of bank behavior under capital regulation (2007)Interaction between housing prices and household borrowing: The Finnish case (2008)Why ‘Basel II’ may need a leverage ratio restriction (2008)Mortgage timing (2009)Financing as a supply chain: The capital structure of banks and borrowers (2018)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)Concordance correlation coefficient (1999)An Overview on Assessing Agreement with Continuous Measurements (2007)Development and application of consumer credit scoring models using profit-based classification measures (2014)Deep learning for limit order books (2018)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Tracking progress towards universal childhood immunisation and the impact of global initiatives: a systematic analysis of three-dose diphtheria, tetanus, and pertussis immunisation coverage (2008)Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data (2016)User's guide to correlation coefficients (2018)Reproducibility and responsiveness of health status measures statistics and strategies for evaluation (1991)Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine (1998)Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)
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References

  • 1989A Concordance Correlation Coefficient to Evaluate Reproducibility8,782 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2002A Note on the Concordance Correlation Coefficient430 cited
  • 2000A note on concordance correlation coefficient.316 cited
  • 2008Loss given default of high loan-to-value residential mortgages193 cited
  • 2011Benchmarking regression algorithms for loss given default modeling186 cited
  • 2010Forecasting bank loans loss-given-default171 cited
  • 2011Loss given default models incorporating macroeconomic variables for credit cards161 cited
  • 2011Comparison of modeling methods for Loss Given Default151 cited
  • 2010Comparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGD96 cited

Cited by

  • 2011Predicting loss given default (LGD) for residential mortgage loans: A two-stage model and empirical evidence for UK bank data62 cited
  • 2021Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach42 cited
  • 2016Exposure at default models with and without the credit conversion factor34 cited
  • 2011Comparing debt characteristics and LGD models for different collections policies

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25 cited
  • 2021Local logit regression for loan recovery rate21 cited
  • 2018Predicting loss severities for residential mortgage loans: A three-step selection approach21 cited
  • 2021Predicting loss given default using post-default information18 cited
  • 2020Loss given default decomposition using mixture distributions of in-default events12 cited
  • 2023Predicting loss given default of unsecured consumer loans with time-varying survival scores10 cited