Do investors pay a price for investing in socially responsible investments (SRI) funds, or do they obtain superior returns? This paper investigates these under- and overperformance hypotheses for all SRI funds across the world. Consistent with investors paying a price for ethics, SRI funds in the US, the UK, and in many continental European and Asia-Pacific countries underperform their domestic benchmarks by −2.2% to −6.5%. However, with the exception of some countries such as France, Japan and Sweden, the risk-adjusted returns of SRI funds are not statistically different from the performance of conventional funds. We also find that the underperformance of SRI funds is not driven by loadings on an ethics style factor. There is mixed evidence of a smart money effect: SRI investors are unable to identify the funds that will outperform in the future, whereas they show some fund-selection ability in identifying funds that will perform poorly. Finally, corporate governance and social screens yield lower risk-adjusted returns.

Little is known about how different bonus schemes affect traders' propensity to trade and which bonus schemes improve traders' performance. We study the effects of linear versus threshold bonus schemes on traders' behavior. Traders buy and sell shares in an experimental stock market on the basis of fundamental and technical information (past share price evolution, realized earnings, analysts' earnings forecasts, and evolution of the market index). We find that linear and threshold bonus schemes have different effects on trading behavior: traders make more transactions but of a smaller size under the threshold than under the linear bonus scheme. Furthermore, transaction frequency significantly decreases when bonus thresholds are reached but only after building in a safety margin. Under the threshold scheme, the traders' performance is lower (even when there are no transaction costs) than under the linear bonus scheme as a consequence of poorer market timing. This is especially the case when earning money by trading is relatively difficult (i.e., under low profitability conditions). Nevertheless, under low profitability conditions, traders seem to collect more information about the relationships between share price and market returns, earnings, and earnings forecasts, put more effort into understanding those relationships, and thus eventually learn to perform better.