Podcast thumbnail for Deep Dive: CFA® Level I Prep 2025

Deep Dive: CFA® Level I Prep 2025

Claim This Podcast

by Deep Dive Prep

3.3(3 reviews)
103 episodes
Updated Daily
Accepts GuestsHas Sponsors

Podcast Overview

Master the complete CFA® Level I curriculum—one learning module at a time. Each episode is a concise, high‑impact dialogue that explains core concepts in plain English, with zero fluff and no long intro/outro. Perfect for commuters, last‑minute crammers, and anyone who learns best by listening. Independently produced; not affiliated with, sponsored by, or endorsed by CFA Institute.

Language

🇺🇲

Publishing Since

5/10/2025

1 verified contact email on file for Deep Dive: CFA® Level I Prep 2025

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for QUANT - Portfolio Mathematics [2026]

January 20, 2026

QUANT - Portfolio Mathematics [2026]

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

Episode thumbnail for QUANT - Probability Trees and Conditional Expectations [2026]

January 15, 2026

QUANT - Probability Trees and Conditional Expectations [2026]

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

Episode thumbnail for QUANT - Statistical Measures of Asset Returns [2026]

January 10, 2026

QUANT - Statistical Measures of Asset Returns [2026]

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

103 total episodes available

Deep-dive analytics for Deep Dive: CFA® Level I Prep 2025

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Deep Dive: CFA® Level I Prep 2025?

Master the complete CFA® Level I curriculum—one learning module at a time. Each episode is a concise, high‑impact dialogue that explains core concepts in plain English, with zero fluff and no long intro/outro. Perfect for commuters, last‑minute crammers, and anyone who learns best by listening. Independently produced; not affiliated with, sponsored by, or endorsed by CFA Institute.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.