This method assumes that the daily returns follow a normal distribution. From the distribution of daily returns we estimate the standard deviation (σ). The daily Value at Risk (VaR) is a function of the standard deviation and the desired confidence level. In the Variance-Covariance (VCV) method the underlying volatility may be calculated either using a simple moving average (SMA) or…
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Master Class: Calculating Value at Risk (VaR): Final steps
Master Class: Calculating Value at Risk (VaR): First Steps
Our sample portfolio that we will use for calculating Value at Risk (VaR) consists of the following 4 items:
100 shares of OGDC 5 barrels of Crude Oil 1 foreign exchange denominated asset with market value of USD 10 on 5th March 2010. 100 units of 3-year PIB with issue date of 19th February 2009 and coupon rate of 11.25%. This means that the outstanding term of the bond is… Premium Courses Pricing IRS – Module I – Term Structures EXCEL Example$13.99Valuing Options – Binomial Tree – Traditional Approach – EXCEL Example$12.99Monte Carlo Simulator with Historical Returns$199.00Monte Carlo Simulation - Package$18.00Master Class: Calculating Value at Risk (VaR): VaR Methods
There are three primary methods used for calculating Value at Risk (VaR).
a. Variance /Covariance method
b. Historical simulation method
c. Monte Carlo simulation method
All methods have a common base but then diverge in how they actually calculate Value at Risk (VaR). They also have a common problem in assuming that the future will follow the past. This shortcoming is normally addressed by supplementing any…
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One of the most pertinent questions in risk management has been: How much do you stand to lose, over a certain period and with a certain probability? The most common answer to this question today is Value at Risk, a risk measure that expresses itself as one number. What is that number and what does it stands for?
In order to interpret this number…
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