VRM1 - Measures of Financial Risk Flashcards
Describe the mean-variance framework and the efficient frontier
Mean-variance framework is the trade-off between risk and return
Efficient frontier created by considering all combinations of risky assets, any combination not on the frontier is not efficient
Compare the normal distribution with the typical distribution of returns of risky financial assets such as equities
In practice, financial variables have much fatter tails than the normal distribution
Define the VaR measure of risk, describe assumptions about return distributions and explain the limitations of VaR
VaR is the loss level that we do not expect to be exceeded over the time horizon at a specified confidence level
Does not speak to how bad losses may be if they are over VaR level
Explain and calculate ES and compare and contrast VaR and ES
Expected shortfall is the expected loss conditional that the loss is greater than the VaR level
ES = mu + sigma * (exp(-u^2 / 2) / ((1 + X)*2pi))
X = confidence level
U = point in normal that has x probability of being exceeded
Define the properties of a coherent risk measure and explain the meaning of each property
- monotonicity: if Pa always worse than Pb, Pa should have a higher risk measure
- translation invariance: if cash K added to a portfolio, risk measure should decrease by K
- homogeneity: multiplying all components by lambda means risk measure multiplied by lambda
- subadditivity: risk measure (A + B) <= risk A + risk B
Explain why VaR is not a coherent risk measure
VaR does not have subadditivity