Using Artificial Intelligence and Investor Sentiment to Improve Returns

Using Artificial Intelligence and Investor Sentiment to Improve Returns

 

On this week’s podcast, we are joined once again by Jamie Wise, founder of Buzz Indices, a Toronto-based hedge fund that has also created the index which powers the BUZZ US Sentiment Leaders ETF (BUZ).

That index is leveraging artificial intelligence to collect social sentiment around stocks and translating that into a fund portfolio, that’s a mouthful! Jaime breaks it down for us and walks us through how using investor sentiment and not brand perception, gives insight into which companies may be best poised for longer-term stock price appreciation. We talk through the difference between sentiment versus momentum investing and why there is in practice little overlap between the BUZ ETF and most momentum ETFs.

Given the recent dramatic moves in the market, we asked Jaime about what insight his team can share given the massive amounts of data they crunch concerning just how investors feel about stocks. His answers just may surprise you. He shares with us which sectors they’ve seen fall in and out of favor and some additional insight concerning sentiment on a few specific stocks that you won’t want to miss.

Have a topic we should tackle on the podcast, email me at cversace@tematicaresearch.com

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Resources for this podcast:

About the Author

Lenore Hawkins & Chris Versace
Lenore Hawkins serves as the Chief Macro Strategist for Tematica Research. With over 20 years of experience in finance, strategic planning, risk management, asset valuation and operations optimization, her focus is primarily on macroeconomic influences and identification of those long-term themes that create investing headwinds or tailwinds. Chris Versace is Tematica's Chief Investment Officer and editor of Tematica Investing newsletter. All of that capitalizes on his near 20 years in the investment industry, nearly all of it breaking down industries and recommending stocks.

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