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Part II · Returns, risk and portfolios

The second block of the course: describing random variables from data, testing what real returns look like, and building optimal portfolios under four different measures of risk.

Topic Exercise Course no.
Distributions Empirical distributions: CDF, histogram and moments 95, 99, 100
Simulating random variables 103–110
Tools Linear, quadratic and nonlinear programming 112, 113, 115
Returns Linear and logarithmic returns 117
Are prices or returns stationary? Four Dow Jones stocks 119
Portfolios Mean-variance efficient frontier 131
How correlation shapes the frontier 132
How much risk diversification removes 134
Mean-MAD efficient frontier 135
Mean-MaxLoss efficient frontier 136
Risk measures Value at Risk and Conditional VaR by simulation 137–138
Mean-CVaR efficient frontier 139