Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach

AJ McNeil, R Frey - Journal of empirical finance, 2000 - Elsevier
We propose a method for estimating Value at Risk (VaR) and related risk measures
describing the tail of the conditional distribution of a heteroscedastic financial return series …

Small failure probability: principles, progress and perspectives

I Lee, U Lee, P Ramu, D Yadav, G Bayrak… - Structural and …, 2022 - Springer
Abstract Design of structural and multidisciplinary systems under uncertainties requires
estimation of their reliability or equivalently the probability of failure under the given …

Extreme value theory as a risk management tool

P Embrechts, SI Resnick… - North American Actuarial …, 1999 - Taylor & Francis
The financial industry, including banking and insurance, is undergoing major changes. The
(re) insurance industry is increasingly exposed to catastrophic losses for which the …

[KNIHA][B] Risk management and value creation in financial institutions

G Schroeck - 2002 - books.google.com
An analysis of the links between risk management and value creation Risk Management
and Value Creation in Financial Institutions explores a variety of methods that can be utilized …

Extreme value theory and value at risk: application to oil market

V Marimoutou, B Raggad, A Trabelsi - Energy Economics, 2009 - Elsevier
Recent increases in energy prices, especially oil prices, have become a principal concern
for consumers, corporations, and governments. Most analysts believe that oil price …

The modelling of operational risk: experience with the analysis of the data collected by the Basel Committee

M Moscadelli - Available at SSRN 557214, 2004 - papers.ssrn.com
Abstract Since 2001, the Risk Management Group of the Basel Committee has been
performing specific surveys of banks' operational loss data. The second loss data collection …

A tale of tails: an empirical analysis of loss distribution models for estimating operational risk capital

K Dutta, J Perry - 2006 - econstor.eu
Operational risk is being considered as an important risk component for financial institutions
as evinced by the large sums of capital that are allocated to mitigate this risk. Therefore, risl …

Fitting insurance claims to skewed distributions: Are the skew-normal and skew-student good models?

M Eling - Insurance: Mathematics and Economics, 2012 - Elsevier
This paper analyzes whether the skew-normal and skew-student distributions recently
discussed in the finance literature are reasonable models for describing claims in property …

Kriging-based adaptive importance sampling algorithms for rare event estimation

M Balesdent, J Morio, J Marzat - Structural Safety, 2013 - Elsevier
Very efficient sampling algorithms have been proposed to estimate rare event probabilities,
such as Importance Sampling or Importance Splitting. Even if the number of samples …

Financial risk and heavy tails

BO Bradley, MS Taqqu - Handbook of heavy tailed distributions in finance, 2003 - Elsevier
It is of great importance for those in charge of managing risk to understand how financial
asset returns are distributed. Practitioners often assume for convenience that the distribu¬ …