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Distributionally robust reinsurance with Value-at-Risk and Conditional Value-at-Risk
Insurance: Mathematics and Economics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Haiyan, Mao, Tiantian
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Kendall Conditional Value-at-Risk
2022The Conditional Value-at-Risk (CoVaR) is a modified version of the Value-at-Risk (VaR) to quantify the risk of a random variable Y with respect to another random variable X. In this work, we consider a multivariate modification of CoVaR based on the Kendall distribution function.
Durante, Fabrizio +2 more
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Conditional tail behaviour and Value at Risk
Quantitative Finance, 2007In this paper we study the tail behaviour of eight major market indexes stratifying data according to the violation of a high threshold on the previous day. The distributional differences found can be exploited to improve VaR calculations in several settings, giving rise to what we call ‘MCVaR’.
Bellini F., FIGA' TALAMANCA, GIANNA
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Conditional Value-at-Risk: Structure and complexity of equilibria
Theoretical Computer Science, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mavronicolas, Marios +3 more
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Simulating Sensitivities of Conditional Value at Risk
Management Science, 2009Conditional value at risk (CVaR) is both a coherent risk measure and a natural risk statistic. It is often used to measure the risk associated with large losses. In this paper, we study how to estimate the sensitivities of CVaR using Monte Carlo simulation.
L. Jeff Hong, Guangwu Liu
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Credit risk optimization with Conditional Value-at-Risk criterion
Mathematical Programming, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fredrik Andersson +3 more
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Vom Value at Risk zum Conditional Value at Risk
2003In diesem hinfuhrenden Abschnitt werden mehr oder weniger zufallig ausgewahlte Zitate von Beschreibungen bzw. Definitionen des Value at Risk aufgefuhrt. Sie stellen keine Voraussetzungen fur die nachfolgenden Ausfuhrungen dar, sie mogen vielmehr die Vielfalt der Aspekte und deren Breite verdeutlichen.
Werner Dinkelbach, Andreas Kleine
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Forecasting value at risk and conditional value at risk using option market data
Journal of Forecasting, 2020AbstractWe forecast monthly value at risk (VaR) and conditional value at risk (CVaR) using option market data and four different econometric techniques. Independent from the econometric approach used, all models produce quick to estimate forward‐looking risk measures that do not depend from the amount of historical data used and that, through the ...
Annalisa Molino, Carlo Sala
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Conditional value‐at‐risk beyond finance: a survey
International Transactions in Operational Research, 2019AbstractA large number of problems involve making decisions in an uncertain environment and, hence, with unknown outcomes. Optimization models aimed at controlling the trade‐off between risk and return in finance have been widely studied since the seminal work by Markowitz in 1952.
Filippi, C. +2 more
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Operations Research Letters, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lihua Sun, L. Jeff Hong
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lihua Sun, L. Jeff Hong
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