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Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach
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 …
describing the tail of the conditional distribution of a heteroscedastic financial return series …
Small failure probability: principles, progress and perspectives
Abstract Design of structural and multidisciplinary systems under uncertainties requires
estimation of their reliability or equivalently the probability of failure under the given …
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 …
(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 …
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 …
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 …
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 …
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 …
discussed in the finance literature are reasonable models for describing claims in property …
Kriging-based adaptive importance sampling algorithms for rare event estimation
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 …
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¬ …
asset returns are distributed. Practitioners often assume for convenience that the distribu¬ …