activity
20152022
most citedAsymptotically distribution-free goodness-of-fit testing for tail copulas

12 citations · 14 across the 3 of their papers we have counts for

collaborators

6 papers

econ.EM20221 cited

Estimating Option Pricing Models Using a Characteristic Function-Based Linear State Space Representation

H. Peter Boswijk, Roger J. A. Laeven, Evgenii Vladimirov

We develop a novel filtering and estimation procedure for parametric option pricing models driven by general affine jump-diffusions. Our procedure is based on the comparison betwee…

math.PR20211 cited

Exact and Asymptotic Analysis of General Multivariate Hawkes Processes and Induced Population Processes

Raviar Karim, Roger J. A. Laeven, Michel Mandjes

This paper considers population processes in which general, not necessarily Markovian, multivariate Hawkes processes dictate the stochastic arrivals. We establish results to determ…

q-fin.RM2021

Probability Premium and Attitude Towards Probability

Louis R. Eeckhoudt, Roger J. A. Laeven

Employing a generalized definition of Pratt (1964) and Arrow's (1965, 1971) probability premium, we introduce a new concept of attitude towards probability. We illustrate in a prob…

q-fin.RM2019

Systemic Risk: Conditional Distortion Risk Measures

Jan Dhaene, Roger J. A. Laeven, Yiying Zhang

In this paper, we introduce the rich classes of conditional distortion (CoD) risk measures and distortion risk contribution (CoD) measures as measures of systemic risk and analy…

q-fin.RM2017

Risk Apportionment: The Dual Story

Louis R. Eeckhoudt, Roger J. A. Laeven, Harris Schlesinger

By specifying model free preferences towards simple nested classes of lottery pairs, we develop the dual story to stand on equal footing with that of (primal) risk apportionment. T…

math.ST201512 cited

Asymptotically distribution-free goodness-of-fit testing for tail copulas

Sami Umut Can, John H. J. Einmahl, Estate V. Khmaladze +1

Let be an i.i.d. sample from a bivariate distribution function that lies in the max-domain of attraction of an extreme value distribution. The asymptot…