I exploit the leveraged exchange-traded funds’ (ETFs’) primary market to measure aggregate, uninformed, gambling-like demand, that is, speculation sentiment. The leveraged ETFs’ primary market is a novel setting that provides observable arbitrage activity attributed to correcting mispricing between ETFs’ shares and their underlying assets. The arbitrage activity proxies for the magnitude and direction of speculative demand shocks and I use them to form the Speculation Sentiment Index. The measure negatively relates to contemporaneous market returns (e.g., it is bullish in down markets) and negatively predicts returns. The results are consistent with speculation sentiment causing market-wide price distortions that later reverse.

We consider a model of active asset management in which mutual fund managers exert unobservable effort to earn excess returns. Investors allocate capital to actively managed funds and passively managed products. In equilibrium, investors are indifferent between investing an additional dollar with an active manager or with a passively managed product. As passively managed products become more attractive to investors, active managers’ revenues from portfolio-management services fall, reducing their effort incentives. More-severe decreasing-returns-to-scale are also associated with reduced incentives and increased moral hazard. Performance-based fees and holdings-based data are all unlikely to mitigate moral hazard.