Results 11 to 20 of about 2,746,744 (357)
A Simple Traffic Light Approach to Backtesting Expected Shortfall [PDF]
Risks, 2018 We propose a Traffic Light approach to backtesting Expected Shortfall which is completely consistent with, and analogous to, the Traffic Light approach to backtesting VaR (Value at Risk) initially proposed by the Basel Committee on Banking Supervision in
Nick Costanzino, Michael Curran
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Nonparametric Estimation of the Expected Shortfall Regression for Quasi-Associated Functional Data
Mathematics, 2022 In this paper, we study the nonparametric estimation of the expected shortfall regression when the exogenous observation is functional. The constructed estimator is obtained by combining the double kernels estimator of both conditional value at risk and ...
Larbi Ait-Hennani +3 more
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Modeling Expected Shortfall Using Tail Entropy [PDF]
Entropy (Basel), 2019 Given the recent replacement of value-at-risk as the regulatory standard measure of risk with expected shortfall (ES) undertaken by the Basel Committee on Banking Supervision, it is imperative that ES gives correct estimates for the value of expected levels of losses in crisis situations.
Pele D +2 more
europepmc +4 more sources
On the Shortfall of Tail-Based Entropy and Its Application to Capital Allocation [PDF]
EntropyWe introduce and study the shortfall of tail-based entropy (STE), a tail-sensitive risk functional that combines expected shortfall (ES) and tail-based entropy (TE).
Pingyun Li, Chuancun Yin
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On estimating the conditional expected shortfall [PDF]
Applied Stochastic Models in Business and Industry, 2008 Unlike the value at risk, the expected shortfall is a coherent measure of risk. In this paper, we discuss estimation of the expected shortfall of a random variable Y-t with special reference to the case when auxiliary information is available in the form
Acerbi +14 more
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A note on calculating expected shortfall for discrete time stochastic volatility models
Financial Innovation, 2021 In this paper we consider the problem of estimating expected shortfall (ES) for discrete time stochastic volatility (SV) models. Specifically, we develop Monte Carlo methods to evaluate ES for a variety of commonly used SV models.
Michael Grabchak, Eliana Christou
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, 2019 Value at Risk (VaR) forecasts can be produced from conditional autoregressive VaR models, estimated using quantile regression. Quantile modeling avoids a distributional assumption, and allows the dynamics of the quantiles to differ for each probability ...
James W. Taylor
semanticscholar +3 more sources
Mathematics, 2021 The Fundamental Review of the Trading Book is a market risk measurement and management regulation recently issued by the Basel Committee. This reform, often referred to as “Basel IV”, intends to strengthen the financial system.
Santiago Carrillo Menéndez +1 more
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E-Jurnal Matematika, 2023 Portfolio optimization using downside deviation is an optimal portfolio by defining the standard deviation of returns below the target (benchmark) as a level of risk measure. Every optimal portfolio certainly has risks.
IDA BAGUS ANGGA DARMAYUDA +2 more
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Nonparametric Expectile Shortfall Regression for Complex Functional Structure [PDF]
EntropyThis paper treats the problem of risk management through a new conditional expected shortfall function. The new risk metric is defined by the expectile as the shortfall threshold.
Mohammed B. Alamari +3 more
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