Value at Risk (VaR)
نویسندگان
چکیده
The technique (VaR) is a statistical measure of the risk. It associated with financial risks related to high volatility in prices, interest rates, or exchange rates. used massively by entities because necessity risk constantly traded portfolios.
منابع مشابه
Value-at-risk (var)
VALUE-AT-RISK Value-at-Risk (VaR) measures the worst expected loss under normal market conditions over a specific time interval at a given confidence level. As one of our references states: “VaR answers the question: how much can I lose with x% probability over a pre-set horizon” (J.P. Morgan, RiskMetrics–Technical Document). Another way of expressing this is that VaR is the lowest quantile of ...
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The concept of Value-at-Risk is described. We discuss how this risk characteristic can be used for supervision and for internal control. Several parametric and non-parametric methods to measure Value-at-Risk are discussed. The non-parametric approach is represented by historical simulations and Monte-Carlo methods. Variance covariance and some analytical models are used to demonstrate the param...
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An important question for corporate finance officers is whether risk management systems, such as Value at Risk (VaR), currently are producing accurate results. In contrast to previous research on assessing the accuracy of risk systems or VaR, which has focused on backtesting a large sample of historical observations, we provide tools for real-time assessment, using a time window that varies ada...
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Ait-Sahalia and Lo (2000) and Panigirtzoglou and Skiadopoulos (2004) have argued that Economic VaR (E-VaR), calculated under the option market implied risk neutral density is a more relevant measure of risk than historically based VaR. As industry practice requires VaR at high confidence level of 99%, we propose Extreme Economic Value at Risk (EE-VaR) as a new risk measure, based on the General...
متن کاملEstimation of Value at Risk (VaR) Based On Lévy-GARCH Models: Evidence from Tehran Stock Exchange
This paper aims to estimate the Value-at-Risk (VaR) using GARCH type models with improved return distribution. Value at Risk (VaR) is an essential benchmark for measuring the risk of financial markets quantitatively. The parametric method, historical simulation, and Monte Carlo simulation have been proposed in several financial mathematics and engineering studies to calculate VaR, that each of ...
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ژورنال
عنوان ژورنال: Mercados y negocios
سال: 2022
ISSN: ['2594-0163', '1665-7039']
DOI: https://doi.org/10.32870/myn.vi45.7665.g6726