About this module
Now the earlier pieces assemble into risk and performance statistics.
We will read volatility, downside, drawdown, loss quantiles, beta, and portfolio variance as different lenses.
Every attractive number gets the same question: which observations, which units, which assumptions, and what does this measure leave out?
Lessons
- Lesson 101
Volatility and Annualized Volatility
Expressing return dispersion without promising a future range
2:42 - Lesson 102
Downside Deviation and Target Shortfall
Measuring shortfall below a required return
2:35 - Lesson 103
Drawdown and Maximum Drawdown
Tracking loss from a running wealth peak
2:30 - Lesson 104
Loss Distributions and Loss Quantiles
Building the loss tail with an explicit sign convention
2:31 - Lesson 105
Value at Risk Intuition
A quantile threshold is not a worst-case promise
2:29 - Lesson 106
Expected Shortfall Intuition
Averaging the source-defined exceedance slice and auditing its probability mass
2:43 - Lesson 107
Beta and Market-Relative Risk
Market sensitivity is not total portfolio risk
2:33 - Lesson 108
Sharpe, Sortino, and Information Ratio Intuition
Reading performance ratios without mixing risk definitions
2:46 - Lesson 109
Active Return and Tracking Error
Measuring benchmark-relative consistency on matched observations
2:38 - Lesson 110
Covariance Matrices, Portfolio Variance, and Diversification
Why two individually quiet holdings can become a risky combination
2:53