Deep Dive: CFA® Level I Prep 2026

Reading 7: Estimation & Inference with Mara Ellington & Dorian Hayes.
In this bite-sized CFA L1 episode, we turn symbols into intuition:
Sampling methods: simple random, stratified, cluster, convenience & judgmental.
Central Limit Theorem: why sample means of size n behave (almost) normal.
Resampling: using bootstrap & jackknife when theory won’t give you a clean formula.
Quick, focused revision for your next Quant mock.

Dive into Simulation Methods from Quantitative Methods – CFA Level I with Mara Ellington & Dorian Hayes.
Normal vs lognormal curves for asset prices & returns
How Monte Carlo paths price risk in portfolios
Using bootstrap resampling when data is limited
Turn randomness into insight, one simulation at a time.

Portfolio Mathematics – CFA Level IJoin Mara Ellington and Dorian Hayes as they turnChapter 1 Quantitative Methods into something you can actually use.
Build intuition for expected return, variance & risk.
See how covariance and correlation shape portfolios.
Use Roy’s safety-first ratio to guard against shortfall risk.
Perfect bite-sized review for your CFA Level I prep.

CFA® Level I Boost w/ Mara Ellington & Dorian Hayes
Learn how to turn messy scenarios into clean probability trees and sharp conditional expectations—in one focused session.
Draw & read probability trees like an analyst
Master P(A|B) = P(A∩B)/P(B) without fear
Apply the logic to payoffs, defaults & simple return paths
Perfect for commute-length revision and exam-day clarity.

Statistical Measures of Returns with Mara Ellington & Dorian Hayes.
In this bite-size Quant Methods episode, we turn raw return data into insight:
Means that matter: arithmetic vs. geometric returns (μ, g).
How variance, standard deviation & downside risk frame volatility (σ, σ2).
Reading the shape: skewness, kurtosis & (non-)normality.
Why cov(Ri, Rj) and ρ drive diversification.
Perfect if you want CFA Level I stats to finally “click”.