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Podcast

Can Machines Invest?

September 4, 2019

In this episode, our hosts discuss the evolution of machine learning and its application in investing. They’re joined by Horst Simon, Chief Research Officer of the Lawrence Berkeley National Laboratory, who shares insights on how the world’s most powerful computers are tackling big problems like predicting the power of hurricanes. And AQR’s Head of Machine Learning, Bryan Kelly, discusses areas in finance where machine learning has had an impact, and other areas where it’s still early in its evolution.

 

Machine Learning:Video Introduction

AQR's Head of Machine Learning Bryan Kelly explains what machine learning is and how it's being used in finance.

Machine Learning

Can Machines "Learn" Finance?

June 7, 2019 - Bryan T. Kelly Tobias J. Moskowitz

Can Machines “Learn” Finance?” was named the winner of the 2020 Harry M. Markowitz Award. Machine learning for asset management faces a unique set of challenges that differ markedly from other domains where machine learning has excelled. We discuss a variety of beneficial use cases and potential pitfalls for machine learning in asset management, and emphasize the importance of economic theory and human expertise for achieving success through financial machine learning.

Machine Learning

Empirical Asset Pricing via Machine Learning

October 17, 2018 - Shihao Gu Bryan T. Kelly Dacheng Xiu

We show how the field of machine learning can be used to empirically investigate asset premia including momentum, liquidity, and volatility.

The information set forth in the recordings has been obtained or derived from sources believed by AQR Capital Management, LLC (“AQR”) to be reliable. However, AQR does not make any representation or warranty, express or implied, as to the information’s accuracy or completeness, nor does AQR recommend that the information serve as the basis of any investment decision. The recordings have been provided to you solely for information purposes and does not constitute a current or past recommendation or an offer or solicitation of an offer, or any advice or recommendation, to purchase any securities or other financial instruments, and may not be construed as such. Past performance is not a guarantee of future performance.   These recordings are not research and should not be treated as research. These recordings do not represent valuation judgments with respect to any financial instrument, issuer, security or sector that may be described or referenced herein and does not represent a formal or official view of AQR.

 

The views expressed reflect the current views as of the date hereof and neither the speaker nor AQR undertakes to advise you of any changes in the views expressed herein. It should not be assumed that the speaker will make investment recommendations in the future that are consistent with the views expressed herein, or use any or all of the techniques or methods of analysis described herein in managing client accounts. AQR and its affiliates may have positions (long or short) or engage in securities transactions that are not consistent with the information and views expressed in these recordings.

 

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