• See Value at Risk.
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Value at risk
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| ||Dear, dear, or dear: Refers to the Daily Earnings at Risk. It is a proxy for maximum expected losses on a daily basis. It is usually viewed with a 95 percent probability or confidence level. This assumes an underlying normal distribution and independence of returns. At the 95 percent level, it is equivalent to 1.65 standard deviations. Within a Value at Risk (Var) context, a one-day horizon VAR would be equal to DEAR. Other VAR measurements would depart from DEAR's one-day view.|
| ||Risk management: Is the practice of adjusting exposures for the firm's positions or portfolios. It tries to stabilize Variability of returns while trimming large -dominant -net exposures as well. It can also be used to secure more favorable financing for inventories or pricing of securities or commodities. See the following features for more information: Illustrative RAMS® Graphics and Tables. How Far with VAR (Value at Risk). More about Risk Management. Risk Management and Analysis Software. RAMS® Executive Summary. Risk Management Tutor 101.The process of identifying and evaluating risks and selecting and managing techniques to adapt to risk exposures.|
| ||Value at risk model: Abbreviated Var. Procedure for estimating the probability of portfolio losses exceeding some specified proportion based on a statistical analysis of historical market price trends, correlations, and volatilities.|
| ||Variance, finite: Refers to a statistic which is limiting or converges. This means that Various samples of statistically acceptable sizes and samples across time exhibit relatively stable variances or standard deviations. This is an important assumption for many statistical analyses, particularly VAR (Value at Risk) methodologies. However, it may not apply during turbulent times. It must be used with caution.|
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