Modeling and estimating dependent loss given default M Hillebrand Risk, 2006 | 52 | 2006 |
Outlier robust corner-preserving methods for reconstructing noisy images M Hillebrand, CH Müller | 27 | 2007 |
European government bond dynamics and stability policies: taming contagion risks P Schwendner, M Schuele, T Ott, M Hillebrand European Stability Mechanism Working Paper, 2015 | 20 | 2015 |
Interaction of market and credit risk: an analysis of inter-risk correlation and risk aggregation K Böcker, M Hillebrand Journal of Risk 11 (4), 3, 2009 | 17 | 2009 |
Interaction of market and credit risk: an analysis of inter-risk correlation and risk aggregation K Böcker, M Hillebrand Bundesbank Series 2 Discussion Paper, 2008 | 12 | 2008 |
On consistency of redescending M-kernel smoothers M Hillebrand, CH Müller Metrika 63 (1), 71-90, 2006 | 12 | 2006 |
Sentiment Analysis of European Bonds 2016–2018 P Schwendner, M Schüle, M Hillebrand Frontiers in Artificial Intelligence 2, 20, 2019 | 6 | 2019 |
On robust corner-preserving smoothing in image processing M Hillebrand Universität Oldenburg, 2003 | 5 | 2003 |
On consistency of redescending M-kernel smoothers M Hillebrand, CH Müller Submitted, 2001 | 5 | 2001 |
Who is the Green Investor? Demand for Green Bonds in the Primary Market M Hillebrand, C Thier Demand for Green Bonds in the Primary Market (Oct 14, 2022), 2022 | 1 | 2022 |
Interaction of market and credit risk: an analysis of inter-risk correlation and risk aggregation M Hillebrand, K Böcker Discussion Paper Series 2, 2008 | 1 | 2008 |
Investor demand in syndicated EFSF/ESM bond issuances M Hillebrand, M Mravlak, P Schwendner Open Research Europe 3, 96, 2023 | | 2023 |
Investor demand in syndicated bond issuances: stylised facts M Hillebrand, M Mravlak, P Schwendner European Stability Mechanism Working Paper, 2021 | | 2021 |
Convergence and divergence in European bond correlations P Schwendner, M Schuele, M Hillebrand 4th Regtech Workshop on AI in Finance, Vienna (Austria), 26 February 2020, 2020 | | 2020 |
Predicting Investor Behaviour in European Bonds Markets-A Machine Learning Approach (Presentation Slides) M Hillebrand, B Winant, M Mravlak, P Schwendner Available at SSRN 3457081, 2019 | | 2019 |
Predicting investor behaviour in European bond markets: a machine-learning approach M Hillebrand, P Schwendner, B Winant, M Mravlak 4th European Conference on Artificial Intelligence in Finance and Industry …, 2019 | | 2019 |
Appearance of Blockchain Bonds: An Assessment of Blockchain Impact on Bond Issuance Process in European Debt Capital Market P Sandner, M Hillebrand | | 2019 |
Correlation influence networks for sentiment analysis in European sovereign bonds P Schwendner, M Schüle, M Hillebrand Financial Revolution-Sentiment Analysis, AI and Machine Learning, London …, 2019 | | 2019 |
Sentiment in European sovereign bonds P Schwendner, M Schüle, T Ott, M Hillebrand 3rd European COST Conference on Mathematics for Industry in Switzerland …, 2018 | | 2018 |
Sovereign bond network dynamics P Schwendner, M Schüle, M Hillebrand Mathfinance Conference, Frankfurt, Germany, 20-21 April 2017, 2017 | | 2017 |