I demonstrate that skill and scale are mismatched among actively managed equity mutual funds. Many mutual fund investors confuse the effects of fund exposures to common systematic factors with managerial skill when allocating capital among funds. Active mutual funds with positive factor‐related past returns thus accumulate assets to the point that they significantly underperform. I also show that the negative aggregate benchmark‐adjusted performance of active equity mutual funds is driven mainly by these oversized funds.

I develop a dynamic structural model in which a firm makes rational decisions to buy or sell assets in the presence of productivity shocks. By identifying equilibrium asset prices, the model also examines the aggregate asset sales activity over the business cycle. It shows that changes in productivity, rather than productivity levels, affect decisions: Firms with rising productivity buy assets and firms with falling productivity downsize (“rising buys falling”). As such, industries in which firms have less persistent and more volatile productivity experience greater asset reallocation. Using plant‐level data from Longitudinal Research Database (LRD), I find strong support for the model's predictions.

This paper studies the asset pricing implications of industrial pollution. A long‐short portfolio constructed from firms with high versus low toxic emission intensity within an industry generates an average annual return of 4.42%, which remains significant after controlling for risk factors. This pollution premium cannot be explained by existing systematic risks, investor preferences, market sentiment, political connections, or corporate governance. We propose and model a new systematic risk related to environmental policy uncertainty. We use the growth in environmental litigation penalties to measure regime change risk and find that it helps price the cross section of emission portfolios' returns.

We develop a tractable equilibrium pricing model to explain observed characteristics in equity returns, VIX futures, S&P 500 options, and VIX options data based on affine jump‐diffusive state dynamics and representative agents endowed with Duffie‐Epstein recursive preferences. Our calibrated model replicates consumption, dividends, and asset market data, including VIX futures returns, the average implied volatilities in SPX and VIX options, and first‐ and higher‐order moments of VIX options returns. We document a time variation in the shape of VIX‐option‐implied volatility and a time‐varying hedging relationship between VIX and SPX options that our model both captures.

We show that a linear pure strategy equilibrium may not exist in the model of Madrigal (1996), contrary to the claim of the original paper. This is because Madrigal's characterization of a pure strategy equilibrium omits a second‐order condition. If the nonfundamental speculator's information about noise trading is sufficiently precise, a linear pure strategy equilibrium fails to exist. In parameter regions where a pure strategy equilibrium does exist, we identify a few calculation errors in Madrigal (1996) that result in misleading implications.

This paper develops a signalling model with two signals, two attributes, and a continuum of signal levels and attribute types to explain new issue underpricing. Both the fraction of the new issue retained by the issuer and its offering price convey to investors the unobservable “intrinsic” value of the firm and the variance of its cash flows. Many of the model's comparative statics results are novel, empirically testable, and consistent with the existing empirical evidence on new issues. In particular, the degree of underpricing, which can be inferred from observable variables, is positively related to the firm's post-issue share price.

This paper develops a signalling model with two signals, two attributes, and a continuum of signal levels and attribute types to explain new issue underpricing. Both the fraction of the new issue retained by the issuer and its offering price convey to investors the unobservable “intrinsic” value of the firm and the variance of its cash flows. Many of the model's comparative statics results are novel, empirically testable, and consistent with the existing empirical evidence on new issues. In particular, the degree of underpricing, which can be inferred from observable variables, is positively related to the firm's post‐issue share price.

Long‐term reversals in U.S. stock returns are better explained as the rational reactions of investors to locked‐in capital gains than an irrational overreaction to news. Predictors of returns based on the overreaction hypothesis have no power, while those that measure locked‐in capital gains do, completely subsuming past returns measures that are traditionally used to predict long‐term returns. In data from Hong Kong, where investment income is not taxed, reversals are nonexistent, and returns are not forecastable either by traditional measures or by measures based on the capital gains lock‐in hypothesis that successfully predict U.S. returns.

When coupled with a stock's current price, a readily available piece of information—the 52‐week high price–explains a large portion of the profits from momentum investing. Nearness to the 52‐week high dominates and improves upon the forecasting power of past returns (both individual and industry returns) for future returns. Future returns forecast using the 52‐week high do not reverse in the long run. These results indicate that short‐term momentum and long‐term reversals are largely separate phenomena, which presents a challenge to current theory that models these aspects of security returns as integrated components of the market's response to news.

Target date funds (TDFs) are designed to provide unsophisticated or inattentive investors with age‐appropriate exposures to different asset classes like stocks and bonds. The rise of TDFs has moved a significant share of retirement investors into macrocontrarian strategies that sell stocks after relatively good stock market performance. This rebalancing drives contrarian flows across equity mutual funds held by TDFs, stabilizing their funding, and reduces stock returns for stocks disproportionately held by these funds when stock market returns are relatively high. Continued growth in TDFs and similar investment products may dampen stock market volatility and increase the transmission of shocks across asset classes.