activity
20192021
most citedOn the Dependence between Functions of Quantile and Dispersion Estimators

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2021

Joint FCLT for Sample Quantile and Measures of Dispersion for Functionals of Mixing Processes

Marcel Bräutigam, Marie Kratz

In this paper, we establish a joint (bivariate) functional central limit theorem of the sample quantile and the -th absolute centred sample moment for functionals of mixing proc…

q-fin.RM2020★ 1 cited

The Impact of the Choice of Risk and Dispersion Measure on Procyclicality

Marcel Bräutigam, Marie Kratz

Procyclicality of historical risk measure estimation means that one tends to over-estimate future risk when present realized volatility is high and vice versa under-estimate future…

math.ST2019

Bivariate FCLT for the Sample Quantile and Measures of Dispersion for Augmented GARCH(,) processes

Marcel Bräutigam, Marie Kratz

In this paper, we build upon the asymptotic theory for GARCH processes, considering the general class of augmented GARCH(, ) processes. Our contribution is to complement the…

math.ST2019★ 3 cited

On the Dependence between Functions of Quantile and Dispersion Estimators

Marcel Bräutigam, Marie Kratz

In this paper, we derive the joint asymptotic distributions of functions of quantile estimators (the non-parametric sample quantile and the parametric location-scale quantile estim…

q-fin.RM2019★ 2 cited

Pro-Cyclicality of Traditional Risk Measurements: Quantifying and Highlighting Factors at its Source

Marcel Bräutigam, Michel Dacorogna, Marie Kratz

Since the introduction of risk-based solvency regulation, pro-cyclicality has been a subject of concerns from all market participants. Here, we lay down a methodology to evaluate t…