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  • QUANT - Estimation and Inference
    2026/01/26

    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.

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    11 分
  • QUANT - Simulation Methods
    2026/01/21

    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.

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    11 分
  • QUANT - Portfolio Mathematics [2026]
    2026/01/20
    Portfolio Mathematics – CFA Level I

    Join 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.

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    11 分
  • QUANT - Probability Trees and Conditional Expectations [2026]
    2026/01/15

    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.

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    12 分
  • QUANT - Statistical Measures of Asset Returns [2026]
    2026/01/10

    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”.

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    11 分
  • QUANT - Time Value of Money [2026]
    2026/01/05

    Time Value of Money Deep Dive with Mara Ellington & Dorian Hayes.

    In this episode we turn abstract formulas into real decisions:

    • Present value (PV) of bonds & equities from future cash flows
    • Implied returns from today’s market prices
    • Cash-flow additivity & the no-arbitrage mindset
    • Forward rates, FX forwards & a first look at options

    Perfect for CFA Level I candidates reviewing Quant Methods, Chapter 1.

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    13 分
  • QUANT - Rates and Return [2026]
    2026/01/01

    Hosted by Mara Ellington & Dorian Hayes

    Ready to finally “get” rates & returns instead of memorising formulas? In this bite-size episode we turn Quant Methods – Chapter 1 into clear, exam-ready intuition.

    • Holding period, arithmetic & geometric mean returns – when each one actually matters.
    • Nominal vs real return (and why inflation quietly eats your gains).
    • Simple, compound & effective annual rates: from r to EAR step-by-step.
    • Cash flows on a timeline: discounting & compounding made visual.

    Goal: walk away able to explain every key formula without looking at your notes.

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    不明
  • ETHICS - Ethics Application
    2025/08/01

    This module brings ethics to life through realistic scenarios and case studies that apply the Code and Standards. You'll practice identifying violations, applying ethical reasoning, and making judgment calls in complex situations. It’s all about turning ethical principles into confident, day-to-day decision-making.

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    15 分