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Value at Risk MGT 4850 Spring 2008 University of Lethbridge.

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Presentation on theme: "Value at Risk MGT 4850 Spring 2008 University of Lethbridge."— Presentation transcript:

1 Value at Risk MGT 4850 Spring 2008 University of Lethbridge

2 Who can use VaR? Financial Institutions – not to expose themselves to expensive failure (Barings, Daiwa, Société Générale, Amaranth Advisors LLC)Société Générale Regulators – Basel Committee Nonfinancial corporations (cash flow at risk) Asset Managers - funds

3 Steps in Constructing VaR Current portfolio value Measure the variability per year Set time horizon Set the confidence interval Report the worst loss

4 Definition The worst expected loss under normal market conditions over a specific time interval at a given confidence level. –Confidence level –Time period Example – daily VaR equal to $1mil at 1% (i.e. only one chance in 100 that a daily loss bigger than 1 mil occurs under normal market conditions)

5 Portfolio example Value $100mil;mean return 20%; std 30%

6 Probability of 20 mil loss (9.12%)

7 PDF The probability density function of the normal distribution is a Gaussian functionprobability density functionGaussian function density function of the "standard" normal distribution:

8 B6 B7

9 CALCULATING THE QUANTILES p.211-212

10 Inverse of the lognormal cumulative distribution function p.213

11 VaR for 3 asset problem p. 215

12 p.216


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