Chapter 22: Value at Risk Flashcards
What is VaR?
VaR is a fairly simple risk measure. It is concerned with the left tail of the probability distinction (i.e. losses). You could say that VaR asks the question: “how bad can things get?”. However, VaR does not tell you how much you can expect to lose if things do go bad.
What is the aim of the VaR measure?
When using the VaR measure one is interested in making a statement of the following form:
- I am X percent certain there will not be a loss of more than V dollars in the next N days.
The variable V is the VaR of the portfolio. It is a function of two parameters: the time horizon (N days) and the confidence level (X%). It is the loss level over N days that has a probability of only (100 - X)% of being exceeded.
When N days is the time horizon and X% is the confidence level, VaR is the loss corresponding to the (100 - X)th percentile of the distribution of the gain in the value of the portfolio over the next N days.
How is a N-day VaR measure calculated?
See below formula
How is VaR denoted mathematically?
- Choose a time interval from t to T, e.g. 10 days.
2: Let R be the return of the portfolio with value process V over the interval from t to T, that is: R = V(T) / V(t) - 1.
3: Define the loss of the portfolio over the interval from t to T, that is: L = -V(t) * R. - Choose a confidence level (alpha), for example alpha = 95%.
The [t, T]-period VaR at a alpha% confidence interval, which is denoted by VaR_alpha(L), is defined as below:
Remember that x is the portfolio loss - “we are 95% sure that the portfolio loss over the next 10 days will not exceed the number x”
VaR can be estimated historically, but what is the problem with doing so?
1: We can never be certain the history will repeat itself.
2: How large should the sample be for us to say something useful about the VaR?
3. Has the portfolio changed over time?
How do you calculate the VaR of a portfolio?
1: The first step is to calculate the variance of the portfolio using the below equation. In this equation alpha_i and alpha_j is the amount invested in asset i and asset j, and sigma_i and sigma_j are the standard deviations of the returns of asset i and asset j.
2: Calculate the standard deviation from the variance.
3: Calculate the 1-day VaR of the portfolio. This is done by multiplying the standard deviation of the portfolio with the correct percentile - if it’s the 97,5th percentile it’s 1,96 and if it’s the 99th percentile it’s 2,326.
4: After this you can calculate the 10-day VaR of the portfolio by saying 1-day VaR * the square root of 10.
5: Now you can calculate the 10-day VaR for asset i and asset j. This is done by firstly calculating the change in the value of the investment in asset i and asset j respectively: std. dev. asset i * square root 10 * 1,96 and then the same for asset j.
6: Finally you can calculate the diversification benefit. This is done by adding the 10-day VaR for asset i and asset j and then subtracting the 10-day VaR of the portfolio that was calculated in step 4.