12 citations · 32 across the 31 of their papers we have counts for
8 papers · 1 filter
Generalized Orlicz premia
Mücahit Aygün, Fabio Bellini, Roger J. A. Laeven
We introduce a generalized class of Orlicz premia based on possibly nonconvex loss functions, extending the classical framework of Haezendonck and Goovaerts (1982). Without the usu…
Markovian multivariate Hawkes population processes: Efficient evaluation of moments
R. S. Karim, R. J. A. Laeven, M +1
We provide probabilistic and computational results on Markovian multivariate Hawkes processes and induced population processes. By applying the Markov property, we characterize in…
Measuring Financial Resilience Using Backward Stochastic Differential Equations
Roger J. A. Laeven, Matteo Ferrari, Emanuela Rosazza Gianin +1
We introduce the resilience rate as a measure of financial resilience. It captures the expected rate at which a dynamic risk measure recovers, i.e., bounces back, when the risk-acc…
Sample Path Large Deviations for Multivariate Heavy-Tailed Hawkes Processes and Related Lévy Processes
Jose Blanchet, Roger J. A. Laeven, Xingyu Wang +1
In this paper, we develop sample path large deviations for multivariate Hawkes processes with heavy-tailed mutual excitation rates. Our results address a broad class of rare events…
Tail Asymptotics of Cluster Sizes in Multivariate Heavy-Tailed Hawkes Processes
Jose Blanchet, Roger J. A. Laeven, Xingyu Wang +1
We examine a distributional fixed-point equation related to a multi-type branching process that is key in the cluster sizes analysis of multivariate heavy-tailed Hawkes processes.…
Asymptotically distribution-free goodness-of-fit testing for point processes
Justin Baars, Justin R. Baars, Sami Umut Can +1
Consider an observed path from a multivariate temporal point process with law on the time interval . To test the null hypothesis that belongs to…
Robust Optimization of Rank-Dependent Models with Uncertain Probabilities
Guanyu Jin, Roger J. A. Laeven, Dick den Hertog
This paper studies distributionally robust optimization for a rich class of risk measures with ambiguity sets defined by -divergences. The risk measures are allowed to be non-li…
Higher-Order Ambiguity Attitudes
Mücahit Aygün, Roger J. A. Laeven, Mitja Stadje
We introduce a model-free preference under ambiguity, as a primitive trait of behavior, which we apply once as well as repeatedly. Its single and double application yield simple, e…