This study shows that shifts in political climate influence stock prices. As the party in power changes, there are systematic changes in the industry-level composition of investor portfolios, which weaken arbitrage forces and generate predictable patterns in industry returns. A trading strategy that attempts to exploit demand-based return predictability generates an annualized risk-adjusted performance of 6% during the 1939 to 2011 period. This evidence of predictability spans 17%–27% of the market and is stronger during periods of political transition. Our demand-based predictability pattern is distinct from cash flow-based predictability identified in the recent literature.

This study shows that shifts in political climate influence stock prices. As the party in power changes, there are systematic changes in the industry-level composition of investor portfolios, which weaken arbitrage forces and generate predictable patterns in industry returns. A trading strategy that attempts to exploit demand-based return predictability generates an annualized risk-adjusted performance of 6% during the 1939 to 2011 period. This evidence of predictability spans 17%-27% of the market and is stronger during periods of political transition. Our demand-based predictability pattern is distinct from cash flow-based predictability identified in the recent literature. Received November 15, 2013; accepted April 5, 2016 by Editor Andrew Karolyi.

We show that the personal traits of analysts, as revealed by their political donations, influence their forecasting behavior and stock prices. Analysts who contribute primarily to the Republican Party adopt a more conservative forecasting style. Their earnings forecast revisions are less likely to deviate from the forecasts of other analysts and are less likely to be bold. Their stock recommendations also contain more modest upgrades and downgrades. Overall, these analysts produce better quality research, which is recognized and rewarded by their employers, institutional investors, and the media. Stock market participants, however, do not fully recognize their superior ability as the market reaction following revisions by these analysts is weaker.

This study shows that correlated trading by gambling-motivated investors generates excess return comovement among stocks with lottery features. Lottery-like stocks comove strongly with one another, and this return comovement is strongest among lottery stocks located in regions where investors exhibit stronger gambling propensity. Looking directly at investor trades, we find that investors with a greater propensity to gamble trade lottery-like stocks more actively and that those trades are more strongly correlated. Finally, we demonstrate that time variation in general gambling enthusiasm and income shocks from fluctuating economic conditions induce a systematic component in investors’ demand for lottery-like stocks.

ABSTRACT Although macroeconomic news has a major impact on corporate earnings, anecdotal evidence suggests that financial analyst research is inefficient with respect to such news. Examining analysts' earnings research, we find that they underreact to negative macroeconomic news. Analysts are not all equal, though, as analysts employed at the same firm as an active macroeconomist underreact much less. We find that the benefit of analyst access to an economist is concentrated in firms that are high in cyclicality relative to their industry, high in cyclicality in general, and that are smaller in size. In addition, analysts who are exposed to more accurate or award-winning in-house macroeconomists benefit more. Investors appear to recognize the advantage of access to macroeconomists, reacting more strongly to these analysts' forecast revisions. Overall, our results suggest that the presence of an active in-house macroeconomist improves the efficiency and credibility of analyst research. JEL Classifications: G12; G14; G24