CFA L-1 | Readings 4–8: Full Revision Session by Priyanka Baheti Ma'am

Описание: This comprehensive revision session covers CFA Level I Readings 4 to 8 with a strong focus on Quantitative Methods and exam-critical concepts. The session is designed to strengthen both conceptual clarity and numerical application, helping you handle calculation-intensive and theory-based questions with confidence.

You’ll learn how to interpret dispersion measures such as variance and standard deviation, apply Bayes’ Theorem, and understand key portfolio risk tools including covariance, correlation, and portfolio variance. The lecture also simplifies simulation techniques (Monte Carlo, Resampling, Bootstrap/Jackknife), explains different sampling methods, and builds a strong foundation for Hypothesis Testing, including exam-relevant definitions and decision rules.

This session is ideal for candidates revising Quant before the exam and for those who want a structured walkthrough of multiple interconnected CFA readings in one focused class.

⏱️ Timestamps
0:00 – Variance & Standard Deviation (Meaning + Formula)
2:22 – Example: Expected Return + Variance & SD (Boom/Normal/Slow)
6:57 – Bayes’ Theorem (Concept + When to Use)
14:10 – Reading 5A: Portfolio Expected Return (Weights as Probabilities)
18:09 – Covariance (Meaning + Formula)
21:58 – Covariance Numerical Example (Joint Probabilities)
26:54 – Portfolio Variance Formula (w²σ² + 2wAwBcov + w²σ²)
31:17 – Correlation (Why move from Covariance to Correlation)
34:49 – Shortfall Risk + Roy’s Safety-First Criterion
44:41 – Reading 6A: Normal vs Lognormal (Asset Prices + CC Returns)
50:15 – Monte Carlo Simulation (Steps + Pros/Cons)
55:28 – Resampling + Bootstrap (Concept + Use cases)
1:00:24 – Reading 7A: Sampling Methods (Random/Stratified/Cluster etc.)
1:15:49 – Central Limit Theorem + Standard Error
1:24:49 – Resampling to Estimate Sampling Distribution (Jackknife/Bootstrap)
1:32:15 – Hypothesis Testing Intro + Process Steps
1:41:29 – Null vs Alternative Hypothesis (Key Exam Definitions)

🎯 Who should watch this session?
-CFA Level I candidates preparing for 2026 attempt
-Students revising Quantitative Methods in one consolidated lecture
-Aspirants who want clarity on statistics + portfolio risk concepts

📌 Strong performance in Quant can significantly boost your overall CFA Level I score, as these concepts also support other subjects like Portfolio Management and Fixed Income.

📞 Contact us for further details:
🌐 https://www.thebalajieducare.com

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