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#1766The Quant / Financial Engineering Podcast68.0 / 100Get badge
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The Quant / Financial Engineering Podcast

Hosted by Patrick J Zoro

Created by Professor Patrick Zoro The podcast aims to capture the latest trends in Data analytics, Asset Management, Blockchain, Risk Management. Patrick Zoro is also the program manager of the Master of Financial Engineering program at Lehigh University

75 episodes · publishes monthly · latest 2026-06-30 · ~33 min/episode

Rank

#1766

Substance

68.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

AI & Data rank

#168 of 495

Best B2B AI & Data Podcasts →

Across the index

#1766 of 6186

Substance

Top 29%

outscores 71% of the index

Why it scores where it does

The Quant / Financial Engineering Podcast ranks #1766 on The B2B Podcast Index with a substance score of 68.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and specificity & evidence. Brett Friedman is a credible practitioner with real market-making and options trading history, and he has published work with Option Metrics - he is not a recycled thought-leader guest. However, his seniority, scope of operations, and current role are never clearly established in the transcript.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

14.0 / 20

The episode delivers a handful of genuinely useful quantitative findings on the implied volatility risk premium, including precise historical figures and a market-maker hedging cost framing that practitioners rarely articulate. However, roughly half the runtime is consumed by discursive macro banter (AI stocks, oil prices, Fed commentary) that adds no actionable insight.

“implied volatility has been trading at a premium to what actually happened. And even on a backward-looking volatility, you see the same result”

“Things that are thin trade a really high volatility because I can't hedge it. Or things that are racing around and I can't predict the underlying for one minute to the next, I'm going to jump implied volatility because my cost of doing business is getting stratospheric”

Originality

13.0 / 20

The variance risk premium is well-documented in academic and practitioner literature, so the core claim is not novel. What adds modest originality is the backward-vs-forward symmetry finding and the market-maker hedging-cost framing as the real driver of IV - a practitioner angle underrepresented in quant discourse.

“if you go backwards instead of forwards, so you calculate the last 21 trading days variance and compare it to today's volatility...you get roughly the same results, which is interesting”

“really what it comes down to is I'm going to sell this option to retail or to whomever...and then I'm going to hedge it...how difficult is this thing to hedge?”

Guest Caliber

16.0 / 20

Brett Friedman is a credible practitioner with real market-making and options trading history, and he has published work with Option Metrics - he is not a recycled thought-leader guest. However, his seniority, scope of operations, and current role are never clearly established in the transcript.

“when I was a market maker, I would do the option and then I'd hand it over to my hedge clerk who would hedge it”

“I started trading options in oil”

Specificity & Evidence

15.0 / 20

The episode provides several concrete numbers - 3.82 percentage points average overpricing, 83.7% frequency since 1996, 4.2% forward risk premium, SpaceX IV in the mid-80s to 90%, and the ~150% first-day IPO options phenomenon - which is above average for a conversational format. The backtesting methodology is described only at a high level and is not reproducible from what is shared.

“roughly 83.7. That's not roughly, that's exactly 83.7% of the time. Since 1996”

“the forward volatility, the forward risk premium is 4.2%, which is exactly more or less the median that it's always been”

Conversational Craft

10.0 / 20

The host largely echoes or affirms the guest's points and contributes his own market opinions rather than probing the methodology, challenging assumptions, or asking follow-up questions that would deepen the analysis. The conversation drifts substantially into unstructured macro chat with no attempt to redirect or sharpen.

“Is that I mean I think it was 19 this morning or so”

“Okay, well, I guess when you're seeing it, it's going to be too late anyway”

Standout episodes

  • Accuracy of Implied Volatility

    2026-06-30

    68

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 60 tracked in total.

  • Accuracy of Implied Volatility

    2026-06-30 · 22 min

    68 / 100

Frequently asked

What is The Quant / Financial Engineering Podcast's substance score?
The Quant / Financial Engineering Podcast scores 68.0 out of 100 for substance and ranks #1766 on The B2B Podcast Index. That puts it ahead of 71% of the B2B podcasts we rank and #168 of 495 in AI & Data. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is The Quant / Financial Engineering Podcast worth listening to?
Yes - The Quant / Financial Engineering Podcast outscores 71% of the B2B ai & data podcasts and shows we rank on substance, so a ai & data operator is likely to come away with something useful.
Who hosts The Quant / Financial Engineering Podcast?
The Quant / Financial Engineering Podcast is hosted by Patrick J Zoro.
How often does The Quant / Financial Engineering Podcast publish?
The Quant / Financial Engineering Podcast publishes monthly, has 75 episodes, released its most recent episode on 2026-06-30.
Which The Quant / Financial Engineering Podcast episode should I start with?
Our highest-scoring recent episode is "Accuracy of Implied Volatility" (68/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

SpaceXOption MetricsVIXMicron

Guests who've appeared

Brett Friedman

Topics this show covers

The themes that come up most across this show's episodes.

Implied volatilityVariance swapsRealized volatilityOptions pricingMarket maker hedgingVIXSpaceX IPO optionsVolatility risk premiumLeft-tail riskBid-ask spreads

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