# Value at Risk

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## Value at Risk

In risk analysis, a method to measure the probability of loss on an investment. One calculates the value at risk by measuring the historical trends and volatility of the investment. The method is used most often by investors in highly volatile commodities, such as energy products.
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References in periodicals archive ?
We use this formula to generate estimations of the value at risk based on the variance-covariance method and compare them with the estimation based on the peak over threshold method.
They came to the conclusion that the results of the estimation of Value at Risk with the use of all these methods can be considered correct, although there are important differences between them.
where X is a vector of variables on which the condition of value being lower then conditional Value at Risk is determined.
Value at Risk: The New Benchmark for Controlling Derivatives Risk, Irwin Publishing, Chicago, IL, 1997.
Tanya Beder, "Report Card on Value At Risk." Banking, Accounting, & Finance.
Seven reported using value at risk as a means of assessing market risk and gave daily, monthly, or quarterly data.
Kabundi and Muteba (2011) compared two kinds of the value at risk based on the different scenarios and suggested that the peek over threshold method is more effective in higher quantiles.
Earlier, VALUE AT RISK (2.25) has proved expensive to follow when coming to grief on his only two starts over fences this season.
Since the burden to propose value at risk as well as sum insured is upon the insured so the Insurers may not assume any liability of whatsoever nature in case of under insurance.
Based on a centralised data structure designed specifically for financial institutions, the OneSumX Market Risk solution offers all modern risk analytics and techniques, from basic sensitivity and gap analysis, to more advanced Value at Risk (VaR) techniques and dynamic simulations, based on Monte Carlo modelling.
According to the company with its OneSumX Financial Risk solution, CDC has been able to calculate Value at Risk (VaR) at a confidence level of 99.99% in less than 24 hours using dynamic Monte Carlo simulations with up to one million scenarios.

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