Report NEP-RMG-2022-05-09

This is the archive for NEP-RMG, a report on new working papers in the area of Risk Management. Stan Miles issued this report. It is usually issued weekly.

Subscribe to this report: email, RSS, or Mastodon.

Other reports in NEP-RMG

The following items were announced in this report:

• Benjamin Avanzi & Hayden Lau & Mogens Steffensen, 2022. "Optimal reinsurance design under solvency constraints," Papers 2203.16108, arXiv.org, revised Jun 2023.
• Rebekka Buse & Konstantin Gorgen & Melanie Schienle, 2022. "Predicting Value at Risk for Cryptocurrencies With Generalized Random Forests," Papers 2203.08224, arXiv.org, revised Oct 2024.
• T. van der Zwaard & L. A. Grzelak & C. W. Oosterlee, 2022. "Relevance of Wrong-Way Risk in Funding Valuation Adjustments," Papers 2204.02680, arXiv.org, revised Jun 2022.
• Christa Cuchiero & Guido Gazzani & Irene Klein, 2022. "Risk measures under model uncertainty: a Bayesian viewpoint," Papers 2204.07115, arXiv.org.
• JunTao Duan & Ionel Popescu, 2022. "LoCoV: low dimension covariance voting algorithm for portfolio optimization," Papers 2204.00204, arXiv.org.
• Veraart, Luitgard A. M., 2020. "Distress and default contagion in financial networks," LSE Research Online Documents on Economics 101905, London School of Economics and Political Science, LSE Library.
• Ferdoos Alharbi & Tahir Choulli, 2022. "Log-optimal portfolio after a random time: Existence, description and sensitivity analysis," Papers 2204.03798, arXiv.org.
• Peter Reinhard Hansen & Chen Tong, 2022. "Option Pricing with Time-Varying Volatility Risk Aversion," Papers 2204.06943, arXiv.org, revised Aug 2024.
• Bruno Spilak & Wolfgang Karl Hardle, 2022. "Risk budget portfolios with convex Non-negative Matrix Factorization," Papers 2204.02757, arXiv.org, revised Jun 2023.
• Florian Bourgey & Stefano De Marco & Peter K. Friz & Paolo Pigato, 2022. "Local volatility under rough volatility," Papers 2204.02376, arXiv.org, revised Nov 2022.
• Kun Zhang & Ben Mingbin Feng & Guangwu Liu & Shiyu Wang, 2022. "Sample Recycling for Nested Simulation with Application in Portfolio Risk Measurement," Papers 2203.15929, arXiv.org.
• Xu, Jack, 2022. "Fundamental Credit Analysis through Dynamical Modeling and Simulation of the Balance Sheet: Applications to Chinese Real Estate Developers," MPRA Paper 112699, University Library of Munich, Germany.
• Daniel Dimitrov, 2022. "Intergenerational Risk Sharing with Market Liquidity Risk," Tinbergen Institute Discussion Papers 22-028/VI, Tinbergen Institute.
• Jaehyuk Choi & Rong Chen, 2022. "Improved iterative methods for solving risk parity portfolio," Papers 2203.00148, arXiv.org.
• Giacomo Giorgio & Barbara Pacchiarotti & Paolo Pigato, 2022. "Short-time asymptotics for non self-similar stochastic volatility models," Papers 2204.10103, arXiv.org, revised Nov 2023.
• Xinyu Wang & Liang Zhao & Ning Zhang & Liu Feng & Haibo Lin, 2022. "Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network," Papers 2204.06692, arXiv.org.
• Galvani, Valentina & Faychuk, Vita, 2022. "The Mean-Variance Core of Cryptocurrencies: When More is Not Better," Working Papers 2022-4, University of Alberta, Department of Economics.
• Franco D. Albareti & Thomas Ankenbrand & Denis Bieri & Esther Hanggi & Damian Lotscher & Stefan Stettler & Marcel Schongens, 2022. "A Structured Survey of Quantum Computing for the Financial Industry," Papers 2204.10026, arXiv.org.
• Felix-Benedikt Liebrich & Marco Maggis & Gregor Svindland, 2020. "Model Uncertainty: A Reverse Approach," Papers 2004.06636, arXiv.org, revised Mar 2022.
• Nick Netzer & Arthur Robson & Jakub Steiner & Pavel Kocourek, 2022. "Endogenous Risk Attitudes," CESifo Working Paper Series 9547, CESifo.
• Dave, Chetan & Dressler, Scott & Malik, Samreen, 2022. "A Cautionary Tale of Fat Tails," Working Papers 2022-1, University of Alberta, Department of Economics.
• Nicholas Fritsch & Jan-Peter Siedlarek, 2022. "How Do Banks Respond to Capital Regulation? — The Impact of the Basel III Reforms in the United States," Working Papers 22-11, Federal Reserve Bank of Cleveland.
• Mauro Bernardi & Daniele Bianchi & Nicolas Bianco, 2022. "Variational inference for large Bayesian vector autoregressions," Papers 2202.12644, arXiv.org, revised Jun 2023.
• Sergio A. Correia & Matthew P. Seay & Cindy M. Vojtech, 2022. "Testing Bank Resiliency Through Time," FEDS Notes 2022-03-18, Board of Governors of the Federal Reserve System (U.S.).
• Sebastian Baran & Przemys{l}aw Rola, 2022. "Prediction of motor insurance claims occurrence as an imbalanced machine learning problem," Papers 2204.06109, arXiv.org.
• Jozef Barunik & Lubos Hanus, 2022. "Learning Probability Distributions in Macroeconomics and Finance," Papers 2204.06848, arXiv.org.