It is well-known that cross-sectional tests of the CAPM are problematic. The market indexes used in empirical tests are likely to be inefficient ex ante, which could lead to spurious results even in the absence of sampling errors. This problem has led many to express serious doubt on the...

This paper proposes that the extent to which mutual fund managers’ beliefs deviate from the ex ante unobservable representative beliefs of their peers contains information about their skill. A new measure based on portfolio allocations, peer deviation, is used to capture a fund manager’s...

In this paper we study the intraday price formation process of country Exchange Traded Funds (ETFs). We identify specific parts of the US trading day during which Net Asset Values (NAVs), currency rates, premiums and discounts, and the S&P 500 index have special effects on ETF prices, and...

We propose an equilibrium asset pricing model in which agents with heterogeneous beliefs care about relative performance. We find that the concern with relative performance leads agents to trade more similarly, a development that has two effects. First, similar trading directly decreases...

Many studies investigate the impact of heterogeneous beliefs in the first moment, while very few in the second moment. This is partially due to continuous-time setup which makes it difficult to incorporate heterogeneous beliefs in the second moment. In a two-period exponential–normal model...

Given recent regulatory inquiries into the derivative-trading practices of mutual funds, we examine their detailed option holdings to assess how mutual funds employ options, what funds use options, and how that affects performance and risk. Mutual funds’ use of options appears consistent with...

We examine liquidity commonality in commodity futures markets. Using data from 16 agricultural, energy, industrial metal, precious metal, and livestock commodities, we show there is a strong systematic liquidity factor in commodities. Liquidity commonality was present in 1997–2003 when...