Results 21 to 30 of about 9,183 (262)
Expected Shortfall and Beyond [PDF]
Journal of Banking & Finance, 2002 Financial institutions have to allocate so-called "economic capital" in order to guarantee solvency to their clients and counter parties. Mathematically speaking, any methodology of allocating capital is a "risk measure", i.e. a function mapping random variables to the real numbers.
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Determinan risiko sistemik perbankan Indonesia: Aplikasi metode marginal expected shortfall
Jurnal Ekonomi dan Bisnis, 2020 Riset ini memiliki tujuan untuk melakukan pengukuran risiko sistemik melalui aplikasi metode yang dapat mengkalkulasi prediksi kerugian modal pada bank tatkala pasar dilanda krisis, yaitu Marginal Expected Shortfall (MES) serta menguji faktor-faktor yang
Mutiara Hikmah, Buddi Wibowo
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Robust Forecast Evaluation of Expected Shortfall* [PDF]
Journal of Financial Econometrics, 2019 AbstractMotivated by the Basel III regulations, recent studies have considered joint forecasts of Value-at-Risk and Expected Shortfall. A large family of scoring functions can be used to evaluate forecast performance in this context. However, little intuitive or empirical guidance is currently available, which renders the choice of scoring function ...
Ziegel, Johanna F. +3 more
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A Simple Traffic Light Approach to Backtesting Expected Shortfall
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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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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ESTIMASI RISIKO PASAR DENGAN LVaR DAN EXPECTED SHORTFALL MENGGUNAKAN SIMULASI MONTE CARLO
E-Jurnal Matematika, 2022 Value at Risk (VaR) is a statistical technique used to manage and calculate the level of financial risk within a certain period of time and a certain level of confidence.
I PUTU YUDHI PRATAMA +2 more
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Nonparametric Estimation of Conditional Expected Shortfall
Assurances et gestion des risques, 2023 We consider a nonparametric method to estimate conditional expected shortfalls, i.e. conditional expected losses knowing that losses are larger than a given loss quantile. We derive the asymptotic properties of kernel estimators of conditional expected shortfalls in the context of a stationary process satisfying strong mixing conditions.
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On the coherence of expected shortfall [PDF]
Journal of Banking & Finance, 2002 Expected Shortfall (ES) in several variants has been proposed as remedy for the defi-ciencies of Value-at-Risk (VaR) which in general is not a coherent risk measure. In fact, most definitions of ES lead to the same results when applied to continuous loss distributions.
Carlo Acerbi, Dirk Tasche
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MEAN-EXPECTED SHORTFALL PORTFOLIO OPTIMIZATION USING A GENETIC ALGORITHM [PDF]
Economic HorizonsCapital requirements for the market risk exposure of banks is a nonlinear function of the expected shortfall (ES), which is calculated based on a bank’s actual portfolio, i.e. the portfolio represented by the bank’s current holdings.
Vladislav Radak +3 more
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COMPARISON BETWEEN VALUE AT RISK AND ADJUSTED EXPECTED SHORTFALL: A NUMERICAL ANALYSIS
Barekeng, 2023 Loss risk is one of the variable that always appears in every kind of investment. On stock asset investments, the characteristics of the risk of loss is uncertain, this means that losses can occur at any time with a value that cannot be determined ...
Trimono Trimono, Di Asih Maruddani
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