Knowledge that Transforms

Abstract This article shows that commodity portfolios that capture the backwardation and contango phases exhibit in-sample and out-of-sample predictive power for the first two moments of the distribution of long-horizon aggregate equity market returns, and for the business cycle. It also demonstrates that a pricing model based on the corresponding backwardation and contango risk factors explains relatively well a wide cross-section of equity portfolios. The cross-sectional “hedging” risk prices are economically consistent with the direction of long-horizon predictability. Backwardation and contango thus act as plausible investment opportunity state variables in the context of Merton’s (1973) intertemporal capital asset pricing model.

Abstract We consider a model in which shareholders provide a risk-averse CEO with risk-taking incentives in addition to effort incentives. We show that the optimal contract protects the CEO from losses for bad outcomes and is convex for medium outcomes and concave for good outcomes. We calibrate the model to data on 1,707 CEOs and show that it explains observed contracts much better than the standard model without risk-taking incentives. When we apply the model to contracts that consist of base salary, stock, and options, the results suggest that options should be issued in the money. Our model also helps us rationalize the universal use of at-the-money options when the tax code is taken into account. Moreover, we propose a new way of measuring risk-taking incentives in which the expected value added to the firm is traded off against the additional risk a CEO has to bear.

Abstract Recent years have seen increased demand from institutional investors for passive replication products that track the performance of hedge fund strategies using liquid investable assets such as futures contracts. In practice, linear replication methods suffer from poor tracking performance and high turnover. We propose a model combination approach to index replication that pools information from a diverse set of pre-specified factor models. Compared with existing methods, the pooled clone strategies yield consistently lower tracking errors, generate less severe portfolio drawdowns, and require substantially smaller trading volume. The pooled hedge fund clones also provide economic benefits in a portfolio allocation context.

Abstract This paper studies variance risk premiums in the Treasury market. We first develop a theory to price variance swaps and show that the realized variance can be perfectly replicated by a static position in Treasury futures options and a dynamic position in the underlying. Pricing and hedging is robust even in the underlying jumps. Using a large options panel data set on Treasury futures with different tenors, we report the following findings: First, the term structure of implied variances is downward sloping across maturities and increases in tenors. Moreover, the slope of the term structure is strongly linked to economic activity. Second, returns to the Treasury variance swap are negative and economically large. Shorting a variance swap produces an annualized Sharpe ratio of almost two and the associated returns cannot be explained by standard risk factors. Finally, the returns remain highly statistically significant even when accounting for transaction costs and margin requirements.

Abstract Does speculative trade reduce mispricing and help create efficient markets or does it drive prices further from fundamentals? We analyze betting exchange trading on 9,562 UK horse races in 2013 and 2014 to find out. Crucially, as each race is run, the fundamental value of bets is unambiguously revealed. We find that the volume of trade is predictive of fundamentals, suggesting that speculative trade is on average conducive to market efficiency. However, much of this effect is concentrated in the in-running period during races when, even without trade, asset fundamentals would be revealed seconds later.

Abstract The stocks in a momentum portfolio, which contribute to momentum profits, do not experience significant subsequent reversals. Conversely, stocks that do not contribute to momentum profits over the intermediate horizon exhibit subsequent reversals. Merging these separate securities into a single portfolio causes momentum and reversal patterns to appear linked. Stocks with momentum can be separated from those that exhibit reversal by sorting on size and book-to-market equity ratio. Controlling for proxies for behavioral biases, market illiquidity, and macroeconomic factors does not affect our results.

Abstract Recent evidence on state-dependent variations in market liquidity suggests strong variations in the illiquidity premium across economic states. Adopting a two-state Markov switching model, we find that, while illiquid stocks are affected more by economic conditions than liquid ones are during recessions, the differences in expected returns are relatively small during expansions. Therefore, the expected illiquidity premium displays strong state-dependent variations that are countercyclical. We show that the state of a high illiquidity premium is closely associated with periods of real economic recessions, market declines, and high volatility, which coincides with major events of liquidity dry-up and high liquidity commonality.

Abstract Return-chasing investors almost exclusively consider top-performing funds for their investment decisions. When drawing conclusions about the managerial skill of these top performers, they tend to neglect fund volatility and the cross-sectional information contained in the number of funds and the distribution of skill. In multiple surveys of sophisticated retail investors, we show that they do not fully understand the role of chance in experimental samples of fund populations. Respondents evaluate each fund in isolation and do not sufficiently account for fund volatility. They confuse risk taking with manager skill and are thus likely to over-allocate capital to lucky past winners.

doi:10.1093/rof/rfw069 The article has been updated to include the full authors’ affiliations, as above.

Abstract I develop and test a model in which the characteristics of entrepreneurs and VCs are jointly determined by real investment opportunities. By inducing the entry of inept agents, booms inflate the dispersion in ability on both sides of the market. Consistent with these predictions, venture fund return data show that 1) new entrants in hot markets are associated with high cross-sectional dispersion in abnormal returns, and 2) the worst performing funds in the sample are disproportionately likely to be new entrants in hot markets.