Unlocking Volatility Secrets Using Data Science

from The Options Insider Radio Network · host The Options Insider Radio Network

Unlocking Volatility Secrets Using Data Science Our guests today are: Jay Schuren, GM Time Series Data Scientist at Data Robot Jimmy Heinz, Equity Volatility Trader at the Gelber Group. Mark, Jay and Jimmy discuss: Why does a volatility trading group need a data scientist? How does data science improve volatility trading? Which product classes yield the greatest benefit from data science analysis? How do outlier volatility events like February 2018 impact the analysis? Is data science the future of volatility trading? And much more...

Episode metadata supplied by the publisher feed · Published May 23, 2019

Embed this episode

Attribution link and audio player

Ready to play

Unlocking Volatility Secrets Using Data Science

0:00 31:28

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Options Insider Radio Network?

This episode is 31 minutes long.

When was this The Options Insider Radio Network episode published?

This episode was published on May 23, 2019.

Can I download this The Options Insider Radio Network episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!