activity
20172026
most citedCharacterization of the tail behavior of a class of BEKK processes: A stochastic recurrence equation approach

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2026

Heavy Tails and Predictive Ability Testing

Jonas F. Frederiksen, Muneya Matsui, Rasmus S. Pedersen

We study the asymptotic behaviour of widely used tests for evaluating and comparing predictive accuracy when forecast errors exhibit heavy tails. In particular, when loss different…

econ.EM2025

Uniform Critical Values for Likelihood Ratio Tests in Boundary Problems

Giuseppe Cavaliere, Adam McCloskey, Rasmus S. Pedersen +1

Limit distributions of likelihood ratio statistics are well-known to be discontinuous in the presence of nuisance parameters at the boundary of the parameter space, which lead to s…

econ.EM2020

New Approaches to Robust Inference on Market (Non-)Efficiency, Volatility Clustering and Nonlinear Dependence

Rustam Ibragimov, Rasmus Pedersen, Anton Skrobotov

Many financial and economic variables, including financial returns, exhibit nonlinear dependence, heterogeneity and heavy-tailedness. These properties may make problematic the anal…

math.ST2019★ 2 cited

Characterization of the tail behavior of a class of BEKK processes: A stochastic recurrence equation approach

Muneya Matsui, Rasmus Søndergaard Pedersen

We provide new, mild conditions for strict stationarity and ergodicity of a class of BEKK processes. By exploiting that the processes can be represented as multivariate stochastic…

math.ST2017

On the tail behavior of a class of multivariate conditionally heteroskedastic processes

Rasmus Pedersen, Olivier Wintenberger

Conditions for geometric ergodicity of multivariate autoregressive conditional heteroskedasticity (ARCH) processes, with the so-called BEKK (Baba, Engle, Kraft, and Kroner) paramet…