Expected Return and Standard Deviation: Investment Risk Analysis

Understanding how to quantify risk and potential returns is essential for sound financial decision-making and portfolio management. This text-based course equips you with the quantitative tools to evaluate investment opportunities, measure uncertainty, and assess performance across diverse market conditions. You will read through clear explanations, conceptual breakdowns, and practical mathematical examples that make foundational finance statistics approachable. What you'll learn: - Understand core finance concepts including probability distributions, variance, and expected return - Calculate expected returns for assets under varying economic scenarios - Measure asset volatility and dispersion using standard deviation - Apply scenario analysis and sensitivity modeling to assess portfolio risk - Evaluate risk-return trade-offs using foundational risk-adjusted performance metrics - Interpret statistical results to support informed investment decisions The course begins with fundamental terminology and statistical definitions before moving into step-by-step risk modeling workflows and scenario evaluation methods. This course is tailored for beginners, finance students, and self-directed learners looking to build foundational quantitative investment skills without prior advanced finance background. Start reading today to master the mathematical essentials of investment risk analysis.