Below is a weekly summary of our research findings for 11/5/18 through 11/9/18. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs.
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- The Decision Moose Asset Allocation Framework
Decision Moose may offer investors a way to beat and diversify the broad U.S. stock market over the very long term by trading to the “hottest hand” (in economic context) from a set of nine asset class proxies, but it markedly underperforms SPY since the financial crisis. - Basic U.S. Stock Market Return Statistics
Evidence from simple statistics suggests that investors should not count on the long-run stability of the equity investing environment or on the reliability of relationships between past return statistics and future returns. - Managing Stock Portfolio Trading Frictions
Evidence indicates that exploitation of widely cited stock factor premiums is problematic due to trading frictions involved in implementation. Approaches to suppressing these frictions are of some to no value. - Online, Real-time Test of AI Stock Picking?
Very limited available evidence offers little support for belief that an AI-based equity fund can beat the market. - Recent Overnight-Intraday Stock Return Correlations
Evidence indicates that reversal between overnight and intraday U.S. stock returns persists only among stocks for which it is most difficult to exploit.
