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Show from 3/4/22
Wharton Finance Professor Jeremy Siegel starts the show with his market update discussing the impact of the Russian/ Ukraine crisis, commodity and oil prices, the employment report, inflation and more. Then, what are the most powerful machine learning patterns? How can you manage overlapping data when working with competition on modeling? Host Jeremy Schwartz talks to two guests in the machine learning and AI modeling space about how to apply these techniques in quantitative investing. They get into the intricacies of setting up the data set, pattern recognition, and prediction time frames.
Guests:
Chrissy Bargeron – Client Portfolio manager at Voya Investment Management
Gareth Shepherd – Co-head of equity machine intelligence (EMI) and a portfolio manager at Voya Investment Management
For more on Voya Investment Management visit their website: https://investments.voya.com/
For the latest news follow Voya on Twitter: @Voya
Hosted on Acast. See acast.com/privacy for more information.
By Behind the Markets4.4
9494 ratings
Show from 3/4/22
Wharton Finance Professor Jeremy Siegel starts the show with his market update discussing the impact of the Russian/ Ukraine crisis, commodity and oil prices, the employment report, inflation and more. Then, what are the most powerful machine learning patterns? How can you manage overlapping data when working with competition on modeling? Host Jeremy Schwartz talks to two guests in the machine learning and AI modeling space about how to apply these techniques in quantitative investing. They get into the intricacies of setting up the data set, pattern recognition, and prediction time frames.
Guests:
Chrissy Bargeron – Client Portfolio manager at Voya Investment Management
Gareth Shepherd – Co-head of equity machine intelligence (EMI) and a portfolio manager at Voya Investment Management
For more on Voya Investment Management visit their website: https://investments.voya.com/
For the latest news follow Voya on Twitter: @Voya
Hosted on Acast. See acast.com/privacy for more information.

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