4 papers
Machine learning for multiple yield curve markets: fast calibration in the Gaussian affine framework
Sandrine Gümbel, Thorsten Schmidt
Calibration is a highly challenging task, in particular in multiple yield curve markets. This paper is a first attempt to study the chances and challenges of the application of mac…
Generalized statistical arbitrage concepts and related gain strategies
Christian Rein, Ludger Rüschendorf, Thorsten Schmidt
Generalized statistical arbitrage concepts are introduced corresponding to trading strategies which yield positive gains on average in a class of scenarios rather than almost surel…
Variable annuities in a Lévy-based hybrid model with surrender risk
Laura Ballotta, Ernst Eberlein, Thorsten Schmidt +1
This paper proposes a market consistent valuation framework for variable annuities with guaranteed minimum accumulation benefit, death benefit and surrender benefit features. The s…
Fair Estimation of Capital Risk Allocation
Tomasz R. Bielecki, Igor Cialenco, Marcin Pitera +1
In this paper we develop a novel methodology for estimation of risk capital allocation. The methodology is rooted in the theory of risk measures. We work within a general, but trac…