Search Results for author: Stefan Weber

Found 7 papers, 0 papers with code

Stochastic Cell Transmission Models of Traffic Networks

no code implementations23 Apr 2023 Zachary Feinstein, Marcel Kleiber, Stefan Weber

We introduce a rigorous framework for stochastic cell transmission models for general traffic networks.

regression

Robust portfolio selection under Recovery Average Value at Risk

no code implementations2 Mar 2023 Cosimo Munari, Justin Plückebaum, Stefan Weber

The comparison with the classical Average Value at Risk shows that portfolio selection under its recovery version enables financial institutions to exert better control on the recovery on liabilities while still allowing for tractable computations.

Modeling and Pricing Cyber Insurance -- Idiosyncratic, Systematic, and Systemic Risks

no code implementations18 Aug 2022 Kerstin Awiszus, Thomas Knispel, Irina Penner, Gregor Svindland, Alexander Voß, Stefan Weber

The paper provides a comprehensive overview of modeling and pricing cyber insurance and includes clear and easily understandable explanations of the underlying mathematical concepts.

Multinomial Backtesting of Distortion Risk Measures

no code implementations17 Jan 2022 Sören Bettels, Sojung Kim, Stefan Weber

We extend the scope of risk measures for which backtesting models are available by proposing a multinomial backtesting method for general distortion risk measures.

Capital Requirements and Claims Recovery: A New Perspective on Solvency Regulation

no code implementations22 Jul 2021 Cosimo Munari, Lutz Wilhelmy, Stefan Weber

We provide detailed case studies and applications: We analyze how recovery risk measures react to the joint distributions of assets and liabilities on firms' balance sheets and compare the corresponding capital requirements with the current regulatory benchmarks based on Value at Risk and Average Value at Risk.

Management

Market Efficient Portfolios in a Systemic Economy

no code implementations23 Mar 2020 Kerstin Awiszus, Agostino Capponi, Stefan Weber

We study the ex-ante minimization of market inefficiency, defined in terms of minimum deviation of market prices from fundamental values, from a centralized planner's perspective.

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