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Honig, Igor and Kircher, Felix
(2025)
Large dynamic covariance matrices and portfolio selection with a heterogeneous autoregressive model.
Journal of Banking & Finance 178, p. 107505.
Kozak, Jakob
, Nagl, Cathrine, Nagl, Maximilian
, Beracha, Eli and Schäfers, Wolfgang
(2025)
Does Real Estate Determine REIT Bond Risk Premia?
Journal of Real Estate Finance and Economics.
Jenett, Hendrik, Nagl, Cathrine, Nagl, Maximilian
, Price, S. McKay and Schäfers, Wolfgang
(2025)
Dynamics of REIT Returns and Volatility: Analyzing Time-Varying Drivers Through an Explainable Machine Learning Approach.
The Journal of Real Estate Finance and Economics.
and Schäfers, Wolfgang
(2025)
Virtual land in the metaverse? Exploring the dynamic correlation with physical real estate.
Journal of European Real Estate Research.
Fulltext not available.
Kircher, Felix
(2025)
Optimal portfolio selection with parameter estimation risks: Statistical modeling and empirical applications.
PhD, Universität Regensburg.
and Rösch, Daniel
(2025)
Carbon Markets—Catalyst for Portfolio Growth and Responsible Investing.
The Journal of Alternative Investments 28 (2), pp. 7-63.
Fulltext not available.
Nagl, Matthias
(2024)
Uncertainty-aware machine learning with applications to credit risk.
PhD, Universität Regensburg.
Nagl, Matthias, Nagl, Maximilian
and Rösch, Daniel
(2024)
Non-linearity and the distribution of market-based loss rates.
OR Spectrum.
, Rösch, Daniel, Schäfers, Wolfgang and Freybote, Julia
(2023)
Time Varying Dependences Between Real Estate Crypto, Real Estate and Crypto Returns.
Journal of Real Estate Research, pp. 1-29.
Fulltext not available.
Häffner, Sonja, Hofer, Martin
, Nagl, Maximilian
and Walterskirchen, Julian
(2023)
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction.
Political Analysis, pp. 1-19.
Nagl, Matthias, Nagl, Maximilian
and Rösch, Daniel
(2022)
Quantifying uncertainty of machine learning methods for loss given default.
Frontiers in Applied Mathematics and Statistics 8, p. 1076083.
Büchel, Patrick, Kratochwil, Michael, Nagl, Maximilian
and Rösch, Daniel
(2022)
Deep calibration of financial models: turning theory into practice.
Review of Derivatives Research 25, pp. 109-136.
Betz, Jennifer
, Nagl, Maximilian
and Rösch, Daniel
(2022)
Credit line exposure at default modelling using Bayesian mixed effect quantile regression.
Journal of the Royal Statistical Society: Series A (Statistics in Society), pp. 1-38.
Nagl, Maximilian
(2022)
Statistical and machine learning for credit and market risk management.
PhD, Universität Regensburg.
and Rösch, Daniel
(2022)
Opening the black box – Quantile neural networks for loss given default prediction.
Journal of Banking & Finance 134, p. 106334.
Fulltext not available.
Betz, Jennifer
, Kellner, Ralf and Rösch, Daniel
(2021)
Time matters: How default resolution times impact final loss rates.
Journal of the Royal Statistical Society, Series C 70 (3), pp. 619-644.
Kratochwil, Michael
(2020)
Measuring Counterparty Risk - Development of innovative Methods in Light of Regulatory Reforms.
PhD, Universität Regensburg.
, Fischer, Matthias and Rösch, Daniel
(2020)
Parameter estimation, bias correction and uncertainty quantification in the Vasicek credit portfolio model.
Journal of Risk 22, pp. 1-30.
Fulltext not available.
Büchel, Patrick, Kratochwil, Michael
and Rösch, Daniel
(2020)
Computing valuation adjustments for counterparty credit risk using a modified supervisory approach.
Review of Derivatives Research 23 (3), pp. 273-322.
, Kellner, Ralf and Rösch, Daniel
(2020)
Macroeconomic effects and frailties in the resolution of non-performing loans.
Journal of Banking & Finance 112, pp. 1-26.
Fulltext not available.
, Rösch, Daniel and Schmelzle, Martin
(2019)
Hedging parameter risk.
Journal of Banking & Finance 100, pp. 111-121.
Fulltext not available.
, Scheule, Harald and Rösch, Daniel
(2019)
Liquidity constraints, home equity and residential mortgage losses.
Journal of Real Estate Finance and Economics.
(In Press)
Fulltext not available.
Betz, Jennifer
(2018)
Resolution of defaulted loan contracts - An empirical analysis of default resolution time and loss given default.
PhD, Universität Regensburg.
, Oehme, Toni, Rösch, Daniel and Scheule, Harald
(2018)
A Copula Sample Selection Model for Predicting Multi-Year LGDs and Lifetime Expected Losses.
Journal of Empirical Finance 47, pp. 246-262.
Fulltext not available.
, Rösch, Daniel and Scheule, Harald
(2018)
Predicting loss severities for residential mortgage loans: A three-step selection approach.
European Journal of Operational Research 270 (1), pp. 246-259.
Fulltext not available.
, Kellner, Ralf and Rösch, Daniel
(2018)
Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation.
European Journal of Operational Research 271, pp. 1113-1144.
Fulltext not available.
, Rösch, Daniel and Scheule, Harald
(2018)
The Impact of Loan Loss Provisioning on Bank Capital Requirements.
Journal of Financial Stability 36, pp. 114-129.
Fulltext not available.
Krüger, Steffen
(2017)
Advanced Dependency Modeling in Credit Risk - Lessons for Loss Given Default, Lifetime Expected Loss and Bank Capital Requirements.
PhD, Universität Regensburg.
and Rösch, Daniel
(2017)
Downturn LGD modeling using quantile regression.
Journal of Banking & Finance 79, pp. 42-56.
Fulltext not available.
, Kellner, Ralf and Rösch, Daniel
(2016)
What drives the time to resolution of defaulted bank loans?
Finance Research Letters 18, pp. 7-31.
Fulltext not available.
Hamerle, Alfred, Liebig, Thilo and Rösch, Daniel
(2003)
Credit Risk Factor Modeling and the Basel II IRB Approach.
Deutsche Bundesbank, Discussion Paper Series 2: Banking and Financial Supervision 2,
Working Paper, Dt. Bundesbank, Frankfurt am Main.
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