Startseite UR
Honig, Igor und Kircher, Felix
(2025)
Large dynamic covariance matrices and portfolio selection with a heterogeneous autoregressive model.
Journal of Banking & Finance 178, S. 107505.
Kozak, Jakob
, Nagl, Cathrine, Nagl, Maximilian
, Beracha, Eli und 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 und 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.
und Schäfers, Wolfgang
(2025)
Virtual land in the metaverse? Exploring the dynamic correlation with physical real estate.
Journal of European Real Estate Research.
Volltext nicht vorhanden.
Kircher, Felix
(2025)
Optimal portfolio selection with parameter estimation risks: Statistical modeling and empirical applications.
Dissertation, Universität Regensburg.
und Rösch, Daniel
(2025)
Carbon Markets—Catalyst for Portfolio Growth and Responsible Investing.
The Journal of Alternative Investments 28 (2), S. 7-63.
Volltext nicht vorhanden.
Nagl, Matthias
(2024)
Uncertainty-aware machine learning with applications to credit risk.
Dissertation, Universität Regensburg.
Nagl, Matthias, Nagl, Maximilian
und Rösch, Daniel
(2024)
Non-linearity and the distribution of market-based loss rates.
OR Spectrum.
, Rösch, Daniel, Schäfers, Wolfgang und Freybote, Julia
(2023)
Time Varying Dependences Between Real Estate Crypto, Real Estate and Crypto Returns.
Journal of Real Estate Research, S. 1-29.
Volltext nicht vorhanden.
Häffner, Sonja, Hofer, Martin
, Nagl, Maximilian
und Walterskirchen, Julian
(2023)
Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction.
Political Analysis, S. 1-19.
Nagl, Matthias, Nagl, Maximilian
und Rösch, Daniel
(2022)
Quantifying uncertainty of machine learning methods for loss given default.
Frontiers in Applied Mathematics and Statistics 8, S. 1076083.
Büchel, Patrick, Kratochwil, Michael, Nagl, Maximilian
und Rösch, Daniel
(2022)
Deep calibration of financial models: turning theory into practice.
Review of Derivatives Research 25, S. 109-136.
Betz, Jennifer
, Nagl, Maximilian
und 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), S. 1-38.
Nagl, Maximilian
(2022)
Statistical and machine learning for credit and market risk management.
Dissertation, Universität Regensburg.
und Rösch, Daniel
(2022)
Opening the black box – Quantile neural networks for loss given default prediction.
Journal of Banking & Finance 134, S. 106334.
Volltext nicht vorhanden.
Betz, Jennifer
, Kellner, Ralf und Rösch, Daniel
(2021)
Time matters: How default resolution times impact final loss rates.
Journal of the Royal Statistical Society, Series C 70 (3), S. 619-644.
Kratochwil, Michael
(2020)
Measuring Counterparty Risk - Development of innovative Methods in Light of Regulatory Reforms.
Dissertation, Universität Regensburg.
, Fischer, Matthias und Rösch, Daniel
(2020)
Parameter estimation, bias correction and uncertainty quantification in the Vasicek credit portfolio model.
Journal of Risk 22, S. 1-30.
Volltext nicht vorhanden.
Büchel, Patrick, Kratochwil, Michael
und Rösch, Daniel
(2020)
Computing valuation adjustments for counterparty credit risk using a modified supervisory approach.
Review of Derivatives Research 23 (3), S. 273-322.
, Kellner, Ralf und Rösch, Daniel
(2020)
Macroeconomic effects and frailties in the resolution of non-performing loans.
Journal of Banking & Finance 112, S. 1-26.
Volltext nicht vorhanden.
, Rösch, Daniel und Schmelzle, Martin
(2019)
Hedging parameter risk.
Journal of Banking & Finance 100, S. 111-121.
Volltext nicht vorhanden.
, Scheule, Harald und Rösch, Daniel
(2019)
Liquidity constraints, home equity and residential mortgage losses.
Journal of Real Estate Finance and Economics.
(Im Druck)
Volltext nicht vorhanden.
Betz, Jennifer
(2018)
Resolution of defaulted loan contracts - An empirical analysis of default resolution time and loss given default.
Dissertation, Universität Regensburg.
, Oehme, Toni, Rösch, Daniel und Scheule, Harald
(2018)
A Copula Sample Selection Model for Predicting Multi-Year LGDs and Lifetime Expected Losses.
Journal of Empirical Finance 47, S. 246-262.
Volltext nicht vorhanden.
, Rösch, Daniel und Scheule, Harald
(2018)
Predicting loss severities for residential mortgage loans: A three-step selection approach.
European Journal of Operational Research 270 (1), S. 246-259.
Volltext nicht vorhanden.
, Kellner, Ralf und Rösch, Daniel
(2018)
Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation.
European Journal of Operational Research 271, S. 1113-1144.
Volltext nicht vorhanden.
, Rösch, Daniel und Scheule, Harald
(2018)
The Impact of Loan Loss Provisioning on Bank Capital Requirements.
Journal of Financial Stability 36, S. 114-129.
Volltext nicht vorhanden.
Krüger, Steffen
(2017)
Advanced Dependency Modeling in Credit Risk - Lessons for Loss Given Default, Lifetime Expected Loss and Bank Capital Requirements.
Dissertation, Universität Regensburg.
und Rösch, Daniel
(2017)
Downturn LGD modeling using quantile regression.
Journal of Banking & Finance 79, S. 42-56.
Volltext nicht vorhanden.
, Kellner, Ralf und Rösch, Daniel
(2016)
What drives the time to resolution of defaulted bank loans?
Finance Research Letters 18, S. 7-31.
Volltext nicht vorhanden.
Hamerle, Alfred, Liebig, Thilo und 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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