In this episode, we hear from Peng Cheng, Head of Big Data and AI Strategies in the Global Research department of J.P. Morgan. Peng runs through two ways in which his team are leveraging ML/ AI techniques to forecast stock returns: on the one hand, using cross-sectional AI to assess corporate sentiment at the stock level (‘Smartbuzz’), and on the other hand, using time series machine learning techniques to forecast future returns. Peng also discusses what these toolkits say about markets today. Peng is in discussion with Eloise Goulder, Head of the Data Assets & Alpha Group. This episode was recorded on September 13, 2023. The views expressed in this podcast may not necessarily reflect the views of J.P. Morgan Chase & Co and its affiliates (together “J.P. Morgan”), are not the product of J.P. Morgan’s Research Department and do not constitute a recommendation, advice, or an offer or a solicitation to buy or sell any security or financial instrument. This podcast is intended for institutional and professional investors only and is not intended for retail investor use and is provided for information purposes only. Referenced products and services in this podcast may not be suitable for you and may not be available in all jurisdictions. J.P. Morgan may make markets and trade as principal in securities and other asset classes and financial products that may have been discussed. For additional disclaimers and regulatory disclosures, please visit: https://www.jpmorgan.com/disclosures/salesandtradingdisclaimer. For the avoidance of doubt, opinions expressed by any external speakers are the personal views of those speakers and do not represent the views of J.P. Morgan. © 2023 JPMorgan Chase & Company. All rights reserved.

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