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Currently Playing: Statistical Measures of Asset Returns – Module 3 – Quant. Methods – CFA® Level I 2026

Get our FREE CFA Level 1 summaries: https://www.finquiz.com/cfa/level-1/summary 📉 Quant Methods Got You Spiraling? FinQuiz = Your CFA Lifeline Quant isn’t just plug-and-chug. It’s logic, timing, and not getting trapped on exam day. Whether you're battling z-scores or trying to remember if it's n or n–1, we’ve got your back. 📎 Battle-Ready Summaries – No fluff, no chaos. Just the core Quant ideas, explained clearly 👉 https://www.finquiz.com/cfa/level-1/summary/ 🧷 Stanley Notes – Clean breakdowns of complex concepts (yes, even heteroskedasticity) 👉 https://www.finquiz.com/cfa/level-1/notes/ 📌 Formula Sheet – All the essentials on one page. Screenshot it. Tattoo it. Just don’t forget it. 👉 https://www.finquiz.com/cfa/level-1/formula-sheet/ 🎮 Question Bank – Practice like you mean it. Real CFA-style traps, logic puzzles, and curveballs 👉 https://www.finquiz.com/cfa/level-1/question-bank/ ⏱ Mock Exams – Time pressure. Real feel. Actual anxiety simulator (but also confidence booster) 👉 https://www.finquiz.com/cfa/level-1/mock-exam/ 🧃 Explore All CFA Level 1 Resources 👉 https://www.finquiz.com/cfa/level-1/ 💸 Want the full upgrade? Go Premium = Everything unlocked + guidance to crush Level 1 👉 https://www.finquiz.com/cfa-level-1-study-packages/ 0:00 Introduction & Importance of Data in Finance Why statistics are crucial for CFA Level 1 Using raw data for meaningful investment insights 1:06 Measures of Central Tendency (Mean, Median, Mode) Arithmetic mean, median, and mode basics Handling outliers (trimmed mean, winsorized mean) Real-world example with stock returns 2:43 Weighted Mean, Geometric Mean & Harmonic Mean When to use each mean in finance Portfolio returns (weighted mean) Growth rates over time (geometric mean) Price averaging in investments (harmonic mean) 4:46 Quantiles: Quartiles, Quintiles, Deciles & Percentiles Breaking data into segments How quantiles help interpret investment return distributions 5:50 Measures of Dispersion (Range, MAD, Variance, Std. Dev.) Defining range, mean absolute deviation, variance, standard deviation How these measures assess investment volatility 8:00 Downside Deviation & Coefficient of Variation (CV) Focus on negative returns with downside deviation CV as a measure of relative risk (risk per unit of return) Illustrative example calculations 10:57 Distribution Shape: Skewness Positive (right) skew, negative (left) skew, and symmetric (normal) Mean, median, mode relationships under skew Why skewness matters for assessing return distributions 13:07 Distribution Shape: Kurtosis Leptokurtic vs. mesokurtic vs. platykurtic Excess kurtosis (fat tails vs. thin tails) Impact on extreme return probabilities 17:26 Correlation vs. Covariance Correlation coefficient (range: -1 to +1) Covariance definition & formula Why correlation is more intuitive than covariance 20:00 Limitations of Correlation Analysis Linearity (misses non-linear relationships) Outliers (distorting effects) No causation (correlation ≠ causation) Spurious correlations (false positives) Incomplete story (ignores underlying dynamics) 22:56 Conclusion & CFA Exam Study Tips Recap of key statistical measures for asset returns Practice with real data sets and examples Final motivation for mastering CFA Level 1 content