activity
20092026
most citedAn extreme value approach to CoVaR estimation

3 citations · 5 across the 11 of their papers we have counts for

collaborators

11 papers

stat.ME2026

Bias-corrected empirical likelihood-based inference for the tail index under heavy-tailed models

Haodi Liang, Natalia Nolde

The tail index parameter of heavy-tailed probability models plays a key role in characterizing the tail decay of the underlying distribution function and is often involved in extra…

stat.ME2025

Modelling peaks over thresholds in panel data: a two-level grouped panel generalized Pareto regression

Zefan Liu, Natalia Nolde

Panel data arise in a wide range of application areas, and developing modelling methods for extreme values under such a setup is essential for reliable risk assessment and manageme…

stat.AP2024

Reverse stress testing via multivariate modeling with vine copulas

Menglin Zhou, Natalia Nolde

As an important tool in financial risk management, stress testing aims to evaluate the stability of financial portfolios under some potential large shocks from extreme yet plausibl…

stat.ME2023

Margin-closed regime-switching multivariate time series models

Lin Zhang, Harry Joe, Natalia Nolde

A regime-switching multivariate time series model which is closed under margins is built. The model imposes a restriction on all lower-dimensional sub-processes to follow a regime-…

stat.ME2022

Margin-closed vector autoregressive time series models

Lin Zhang, Harry Joe, Natalia Nolde

Conditions are obtained for a Gaussian vector autoregressive time series of order , VAR(), to have univariate margins that are autoregressive of order or lower-dimensiona…

math.ST2022★ 3 cited

An extreme value approach to CoVaR estimation

Natalia Nolde, Chen Zhou, Menglin Zhou

The global financial crisis of 2007-2009 highlighted the crucial role systemic risk plays in ensuring stability of financial markets. Accurate assessment of systemic risk would ena…

q-fin.RM2021

On the Selection of Loss Severity Distributions to Model Operational Risk

Daniel Hadley, Harry Joe, Natalia Nolde

Accurate modeling of operational risk is important for a bank and the finance industry as a whole to prepare for potentially catastrophic losses. One approach to modeling operation…

math.ST2020

Linking representations for multivariate extremes via a limit set

Natalia Nolde, Jennifer L. Wadsworth

The study of multivariate extremes is dominated by multivariate regular variation, although it is well known that this approach does not provide adequate distinction between random…

q-fin.RM2016

Elicitability and backtesting: Perspectives for banking regulation

Natalia Nolde, Johanna F. Ziegel

Conditional forecasts of risk measures play an important role in internal risk management of financial institutions as well as in regulatory capital calculations. In order to asses…

math.PR2009

Asymptotic independence for unimodal densities

Guus Balkema, Natalia Nolde

Asymptotic independence of the components of random vectors is a concept used in many applications. The standard criteria for checking asymptotic independence are given in terms of…

math.PR2009★ 2 cited

Sensitivity of the limit shape of sample clouds from meta densities

Guus Balkema, Paul Embrechts, Natalia Nolde

The paper focuses on a class of light-tailed multivariate probability distributions. These are obtained via a transformation of the margins from a heavy-tailed original distributio…