Senior Fellows/Fellows

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Senior Fellows/Fellows

Working Paper MWP19002
We offer a new social approach to investment decision making and asset prices. Investors discuss their strategies and convert others to their strategies with a probabil-ity that increases in investment returns. The conversion rate is shown to be convex in realized returns. Unconditionally, active s...
Keywords: capital markets, behavioral finance, active investing, social networks, thought contagion, transmission bias
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Senior Fellows/Fellows

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Senior Fellows/Fellows

Working Paper MWP19003
We study how bias in the social transmission process affects contagion of consumption beliefs and behavior. In the model, consumption is more salient than non-consumption. This visibility bias causes people to perceive that others are consuming heavily and have favorable information about future wea...
Keywords: Consumption behavior, Overconsumption, Visibility bias
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Senior Fellows/Fellows

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Senior Fellows/Fellows

Working Paper MWP19004
We test how market overvaluation affects corporate innovation. Estimated stock overvaluation is very strongly associated with measures of innovative inventiveness (novelty, originality, and scope), as well as R&D and innovative output (patent and citation counts), and these relationships are hig...
Keywords: stock market misvaluation, innovation, R&D, patents, behavioral finance, market efficiency
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Senior Fellows/Fellows

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Senior Fellows/Fellows

Working Paper MWP19005
Existing research has documented cross-sectional seasonality of stock returns—the periodic outperformance of certain stocks during the same calendar months or weekdays. A model in which assets differ in their sensitivities to investor mood explains these effects and implies other seasonal patterns...
Keywords: Return seasonality, Investor mood, Mood beta, market efficiency, anomalies
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Senior Fellows/Fellows

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Senior Fellows/Fellows

Working Paper MWP19006
Identifying stock connections by shared analyst coverage, we find that a connected-stock (CS) momentum factor generates a monthly alpha of 1.68% (t = 9.67). In spanning regressions, the alphas of industry, geographic, customer, customer/supplier industry, single- to multi-segment, and technology mom...
Keywords: cross-asset momentum, industry momentum, geographic momentum, customer momentum, supplier momentum, Technology momentum, complicated firms
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