Expected Shortfall, as a coherent risk measure, has received a substantial amount of attention in the literature recently. For many distributions of practical interest however, it cannot be obtained in explicit form, and numerical techniques must be employed. The present manuscript derives a saddlepoint approximation for the Expected Shortfall associated with certain random variables that permit a stochastic representation in terms of some underlying random variables possessing a moment generating function. The new approximation can be evaluated quickly and reliably, and provides excellent accuracy. The doubly noncentral t distribution is considered as an example
We propose a generalized risk measure for expectile-based expected shortfall estimation. The general...
Denote the loss return on the equity of a financial institution as X and that of the entire market a...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
A saddlepoint approximation for evaluating the expected shortfall of financial returns under realist...
The Basle Committee’s proposed move from Value at Risk to expected shortfall as the mandated risk me...
We introduce and study the main properties of a class of convex risk measures that refine Expected S...
In this paper, we introduce a saddlepoint approximation method for higher-order moments like E(S - a...
The full saddlepoint approximation for real valued smooth functions of means requires the existence ...
A flexible framework for the analysis of tail events is proposed. The framework contains tail moment...
ABSTRACT. The expected shortfall is an increasingly popular risk measure in nancial risk management ...
Since Value-at-Risk (VaR) disregards tail losses beyond the VaR boundary, the expected shortfall (ES...
A large deviations type approximation to the probability of ruin within a finite time for the compo...
It is well-known that the saddlepoint approximation can give a quite accurate approximation for the ...
We discuss the coherence properties of Expected Shortfall (ES) as a financial risk measure. This sta...
We provide an accurate closed-form expression for the expected shortfall of linear portfolios with e...
We propose a generalized risk measure for expectile-based expected shortfall estimation. The general...
Denote the loss return on the equity of a financial institution as X and that of the entire market a...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
A saddlepoint approximation for evaluating the expected shortfall of financial returns under realist...
The Basle Committee’s proposed move from Value at Risk to expected shortfall as the mandated risk me...
We introduce and study the main properties of a class of convex risk measures that refine Expected S...
In this paper, we introduce a saddlepoint approximation method for higher-order moments like E(S - a...
The full saddlepoint approximation for real valued smooth functions of means requires the existence ...
A flexible framework for the analysis of tail events is proposed. The framework contains tail moment...
ABSTRACT. The expected shortfall is an increasingly popular risk measure in nancial risk management ...
Since Value-at-Risk (VaR) disregards tail losses beyond the VaR boundary, the expected shortfall (ES...
A large deviations type approximation to the probability of ruin within a finite time for the compo...
It is well-known that the saddlepoint approximation can give a quite accurate approximation for the ...
We discuss the coherence properties of Expected Shortfall (ES) as a financial risk measure. This sta...
We provide an accurate closed-form expression for the expected shortfall of linear portfolios with e...
We propose a generalized risk measure for expectile-based expected shortfall estimation. The general...
Denote the loss return on the equity of a financial institution as X and that of the entire market a...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...