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Wesley Gray

author Image Wesley R. Gray, Ph.D., is the founder and executive managing member of Alpha Architect. He also manages the exchange-traded funds ValueShares U.S. Quantitative Value (QVAL) and ValueShares International Quantitative Value (IVAL), which are based on the FS-Score.

Articles by this Author

Company: Alpha Architect

Area of Expertise: Alternative investments, behavioral finance, empirical asset pricing, value investing

Web Site: AlphaArchitect.com

Twitter Feed: @alphaarchitect

Books: "Embedded: A Marine Corps Adviser in the Iraqi Army," "Quantitative Value: A Practitioner’s Guide to Automating Intelligent Investment and Eliminating Behavioral Errors"

Topics Presented in Speeches: Behavioral finance, value investing, portfolio theory, asset allocation

Email: wes@empiritrage.com

Biography: Wesley R. Gray, Ph.D., is the founder and executive managing member of Alpha Architect. He is also an assistant professor of finance at Drexel University’s LeBow College of Business. Gray’s work has been highlighted on CNN, NPR, Motley Fool, WSJ Market Watch, CFA Institute, Institutional Investor and CBS News.

Gray earned an MBA and a Ph.D. in finance from the University of Chicago Booth School of Business, graduated magna cum laude with a B.S. in economics from The Wharton School at the University of Pennsylvania, and served as an active-duty U.S. Marine Corps ground intelligence officer (captain) in Iraq and in various posts in Asia.

Articles by this Author

  1. Portfolio Strategies »

    The Advantages of Simple Allocation Strategies

    Complex strategies do not significantly outperform simpler ones, such as equal-weighting or a 60% stocks/40% bond mix.

    November 2015 | Journal

  2. Stock Strategies »

    Simple Methods to Improve the Piotroski F-Score

    Altering the profitability variables, adjusting for net equity issuance and seeking operational momentum can improve this value strategy.

    May 2015 | Journal

  3. Behavioral Finance »

    The Case for Systematic Decision-Making

    Though human expertise is needed to design models, models perform better than humans because they aren’t subject to behavioral biases.

    April 2014 | Journal