Knowledge that Transforms

We study whether subadvising abroad provides an information advantage that improves the performance of international equity mutual funds. We find that it does not. In fact, internationally outsourced funds underperform on a risk-adjusted basis by up to 162 bps annually. The underperformance is concentrated in funds managed by single subadvisors, who are less likely to be terminated after poor performance compared to funds with multiple subadvisors. We dissect fund performance by the location of its subadvisors and find that international subadvisors underperform primarily in their local holdings. Finally, we show that the industry is nonetheless on a path toward equilibrium. (JEL G11, G12, G14, G15, G23). Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Through textual analyses of 7.7 million patents, we develop a novel intercompany innovation similarity measure which enables us to find that technologically connected firms cross-predict one another’s returns. Investors impound information about firms’ technological connectedness, although not immediately and fully. Buying (shorting) shares of technological peers earning high (low) returns during the previous month yields a 1.29% monthly return. Firms’ return predictability increases with patent complexity or limited technological disclosures but decreases with better information transparency. Results suggest that investor inattention explains technology momentum. Unlike momentum stemming from simpler, class-based technological links, our Big Data text-based return predictability remains active. (JEL G11, G12, G14, O31, C55) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

I find that short interest significantly and negatively predicts aggregate stock returns in 24 of 32 countries examined. This predictability survives out-of-sample tests, persists outside of recessions, and is not subsumed by other well-known return predictors. The results indicate that short interest contains valuable information for forecasting international market returns that is distinct and more powerful than that of other available predictors. However, the predictive power of short interest varies over time and across regions. It is higher around economic downturns when margin requirements tighten and in regions where short selling is constrained by regulations or equity lending market frictions. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

In contrast with theoretical predictions, high-fee active equity funds generate worse net-of-expenses performance. We show that this fee-performance puzzle is driven by the preference of high-fee funds for stocks with low operating profitability and high investment rates, characteristics associated with low expected returns. After controlling for exposures to profitability and investment factors, we find high-fee funds significantly outperform low-fee funds before expenses and achieve similarly poor net-of-fees performance. In resolving the fee-performance puzzle, our findings provide support to the theoretical prediction that net alphas are unrelated to fees and challenge the common advice to prefer low-fee funds over high-fee counterparts. (JEL G23, G11, J24) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Why do so few mutual fund families launch so many funds and styles around the world? We argue that launching numerous funds on an increasingly granular style grid allows incumbent families to congest the product space and deter market entry. Key to this argument is the persistently low dimensionality of the mutual fund product space, a fact we establish by analyzing the names of over 40,000 equity funds sold in 91 countries between 1931 and 2015. Over time, the strategy of filling up the style grid has led to the dominance of few families offering large, granular, and similar fund menus. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

We propose a naïve model averaging (NMA) method that averages the OLS out-of-sample forecasts and the historical means and produces mostly positive out-of-sample R2s for the variables significant in sample in forecasting market returns. Surprisingly, more sophisticated weighting schemes that combine the predictive variable and historical mean do not consistently perform better. With unstable economic relations and a limited sample size, sophisticated methods may lead to overfitting or be subject to more estimation errors. In such situations, our simple methods may work better. Model misspecification, rather than declining return predictability, likely explains the predictive performance of the NMA method. (JEL G12, G11) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

When brokers, analysts, and fund managers buy or sell stocks for their own accounts, these “access employees” of financial institutions outperform retail investors over short windows up to a month. They earn particularly high abnormal returns when they trade before earnings announcements, revisions of analyst recommendations, and large stock price changes. We also find evidence consistent with profitable front-running and information leakage around the execution of corporate insider trades and block trades by mutual funds, as well as the release of revised recommendations by analysts who work at the same brokerage firm. (JEL G12, G14, G18) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

We propose a dynamic equilibrium model with stochastic interest rates in which agents hold heterogeneous valuations for the same asset and take on positions against each other. The model shows that interest rate uncertainty and investor heterogeneity are key determinants of price dispersion. Higher search intensity reduces price dispersion, while raising volume, leading to a negative volatility-volume relation. The sensitivity of volatility to volume is high when liquidity is low, interest rate variations are high and investors’ valuations are more heterogeneous. Evidence supports our model’s predictions and shows that search frictions play an important role in driving the volatility-volume relation. (JEL G12, G13) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

The distribution of long-run compound returns to portfolio strategies is greatly affected by periodic rebalancing. Over time, buy-and-hold portfolios gradually lose diversification as extreme long-run skewness in individual stock returns leads to increasingly concentrated holdings. For long investment horizons, small rebalanced portfolios holding only a fraction of all stocks therefore achieve better diversification than much larger marketwide buy-and-hold portfolios. Consequently, over long horizons, rebalanced portfolios tend to outperform buy-and-hold portfolios, and risk-averse investors prefer the former. Empirical results strongly support the theoretical predictions and add further evidence to the strong empirical performance of (small) equal-weighted portfolios. (JEL G10, G11) Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Classic option pricing theory values a derivative contract via dynamic delta hedging and treating the contract as redundant relative to the underlying security. Dynamic delta hedging proves highly effective in practice, but the remaining risk is still large because of the practical limits of arbitrage. Derivatives can play primary roles in risk allocation. This paper quantifies the percentage variance reduction of delta hedging on U.S. stock options, proposes a top-down return attribution framework to identify the remaining risk sources of the delta-hedged option investment, and constructs a statistical return factor model to explain the variations of the delta-hedged option returns. (JEL C13, C51, G12, G13)