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Forecasting bank loans loss-given-default
6 references·16 citing·46 second hopsampled
Forecasting bank loans loss-given-default (2010)Forecasting bank loans loss-given-defaultRecovery rates, default probabilities, and the credit cycle (2009)Recovery rates, default proba…Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics (2008)Credit risk drivers: Evaluati…Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries (2007)Does industry-wide distress a…Bank loan losses-given-default: A case study (2005)Bank loan losses-given-defaul…What Do We Know About Loss Given Default? (2004)What Do We Know About Loss Gi…Measuring Corporate Bond Mortality and Performance (1989)Measuring Corporate Bond Mort…Opening the black box – Quantile neural networks for loss given default prediction (2021)Opening the black box – Quant…Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform (2020)Important factors determining…Risk Analysis for Large Pools of Loans (2018)Risk Analysis for Large Pools…Improving corporate bond recovery rate prediction using multi-factor support vector regressions (2018)Improving corporate bond reco…Fuzzy decision fusion approach for loss-given-default modeling (2017)Fuzzy decision fusion approac…Enhancing two-stage modelling methodology for loss given default with support vector machines (2017)Enhancing two-stage modelling…Downturn LGD modeling using quantile regression (2017)Downturn LGD modeling using q…Support vector regression for loss given default modelling (2014)Support vector regression for…MCDM APPROACH TO EVALUATING BANK LOAN DEFAULT MODELS (2014)MCDM APPROACH TO EVALUATING B…Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state (2014)Forecasting Loss Given Defaul…Ultimate recovery mixtures (2013)Ultimate recovery mixturesLoss given default for leasing: Parametric and nonparametric estimations (2013)Loss given default for leasin…Improvements in loss given default forecasts for bank loans (2013)Improvements in loss given de…Ensemble Predictions of Recovery Rates (2013)Ensemble Predictions of Recov…A zero-adjusted gamma model for mortgage loan loss given default (2013)A zero-adjusted gamma model f…Comparison of modeling methods for Loss Given Default (2011)Comparison of modeling method…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Common risk factors in the returns on stocks and bonds (1993)Econometric Analysis of Cross Section and Panel Data (2001)Bank Liquidity Creation (2009)How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk? (2012)Hazardous Times for Monetary Policy: What Do Twenty-Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk-Taking? (2014)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)A Note on the Concordance Correlation Coefficient (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Comparing debt characteristics and LGD models for different collections policies (2011)Exposure at default models with and without the credit conversion factor (2016)Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach (2021)Liquidation Values and Debt Capacity: A Market Equilibrium Approach (1992)A comparative analysis of current credit risk models (2000)Credit Risk in Two Institutional Regimes: Spanish Commercial and Savings Banks (2002)Loss given default of high loan-to-value residential mortgages (2008)Loss given default models incorporating macroeconomic variables for credit cards (2011)Benchmarking regression algorithms for loss given default modeling (2011)Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations (2015)An artificial intelligence system for predicting customer default in e-commerce (2018)Multi-view ensemble learning based on distance-to-model and adaptive clustering for imbalanced credit risk assessment in P2P lending (2020)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)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)By Force of Habit: A Consumption‐Based Explanation of Aggregate Stock Market Behavior (1999)Modeling the Loss Distribution (2011)Review of Business and Economics (2015)Systemic Risk in Financial Networks: A Survey (2021)Financial Ratios As Predictors of Failure (1966)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)The impact of default risk on the prices of options and other derivative securities (1995)Measuring investment distortions arising from stockholder–bondholder conflicts (1999)Issuer Quality and Corporate Bond Returns (2013)The Corporate Bankruptcy Decision (1989)Almost Everything You Wanted to Know about Recoveries on Defaulted Bonds (1996)The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications* (2005)Crowdfunding: Tapping the right crowd (2013)The dynamics of crowdfunding: An exploratory study (2013)Measuring Economic Policy Uncertainty* (2016)Machine learning methods in finance: Recent applications and prospects (2022)Crowdfunding platforms: a systematic literature review and a bibliometric analysis (2023)Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment (2023)Credit spreads: An empirical analysis on the informational content of stocks, bonds, and CDS (2009)The effects of liquidity risk and credit risk on bank stability: Evidence from the MENA region (2017)Econometric Analysis of Panel Data (2021)
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References

  • 2007Does industry-wide distress affect defaulted firms? Evidence from creditor recoveries700 cited
  • 1989Measuring Corporate Bond Mortality and Performance426 cited
  • 2008Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics322 cited
  • 2004What Do We Know About Loss Given Default?280 cited
  • 2009Recovery rates, default probabilities, and the credit cycle216 cited
  • 2005Bank loan losses-given-default: A case study191 cited

Cited by

  • 2011Comparison of modeling methods for Loss Given Default151 cited
  • 2014Support vector regression for loss given default modelling105 cited
  • 2020Important factors determining Fintech loan default: Evidence from a lendingclub consumer platform81 cited
  • 2013A zero-adjusted gamma model for mortgage loan loss given default81 cited
  • 2017Enhancing two-stage modelling methodology for loss given default with support vector machines79 cited
  • 2013Ultimate recovery mixtures75 cited
  • 2013Improvements in loss given default forecasts for bank loans59 cited
  • 2013Loss given default for leasing: Parametric and nonparametric estimations55 cited
  • 2018Improving corporate bond recovery rate prediction using multi-factor support vector regressions

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55 cited
  • 2021Opening the black box – Quantile neural networks for loss given default prediction54 cited
  • 2017Fuzzy decision fusion approach for loss-given-default modeling49 cited
  • 2017Downturn LGD modeling using quantile regression48 cited
  • 2014Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state47 cited
  • 2018Risk Analysis for Large Pools of Loans47 cited
  • 2013Ensemble Predictions of Recovery Rates47 cited
  • 2014MCDM APPROACH TO EVALUATING BANK LOAN DEFAULT MODELS46 cited