This book covers the basics of measuring investment risks, expected income, dispersion, standard deviation, covariance, correlation, historical and logarithmic income calculations, quantile-based value at risk (VaR), expected shortfall (ES), confidence intervals, hypothesis testing, Monte Carlo simulation, and bootstrap methods