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LIMITATIONS OF VALUE-AT-RISK (VAR) FOR BUDGET ANALYSIS

open access: yes, 2004
Value-at-risk (VaR) is increasingly being applied to problems in agriculture, especially valuation of crop insurance and agricultural lending risk exposure. VaR conveys the probability that losses exceeding a threshold will likely occur within a specified timeframe. However, it does not provide the expected value of losses, should they happen.
Gustafson, Cole R., Gustafson, Cole R.
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Interpreting Value at Risk (VaR) forecasts

Economic Systems, 2008
Abstract Value at Risk (VaR) forecasts have been increasingly accepted globally by both risk managers and regulators as a tool to identify and control exposure to financial market risk. However, modern portfolios are characterized by a constantly changing composition of security holdings that reflect portfolio managers’ strategies, expected prices ...
Allan W. Gregory, Jonathan J. Reeves
openaire   +1 more source

Artifactual unit root behavior of Value at risk (VaR)

Statistics & Probability Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chan, Ngai Hang, Sit, Tony
openaire   +2 more sources

Value-at-Risk and Credit VaR

2010
In this chapter we review the main market risk measurement tool used in banking, known as value-at-risk (VaR). The review looks at the three main methodologies used to calculate VaR, as well as some of the key assumptions used in the calculations, including those on the normal distribution of returns, volatility levels and correlations. We also discuss
Moorad Choudhry   +4 more
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VaR (Value at Risk) Model [PDF]

open access: possibleRomanian Statistical Review Supplement, 2012
The VaR model represents a significant progress in risk analysis, among the improvements it brings we can outline the attempt to measure risk itself in terms of an eventual loss, instead of focusing on gain-based approach.
Vergil VOINEAGU, Danut CULETU
openaire  

VALUE AT RISK (VaR)

BANKPEDIA REVIEW, 2013
The value at risk (VaR) measures the risk of loss associated to financial assets. For a given time period (normally ranging from 1 to 10 days), and with a given probability confidence (generally equal to 95% or 99%); this measure represents the maximum loss the investor can suffer when holding financial assets.
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