Knowledge that Transforms

Recent asset pricing models of limits to arbitrage emphasize the role of funding conditions faced by financial intermediaries. In the US, the repo market is the key funding market. Then, the premium of on-the-run U.S. Treasury bonds should share a common component with risk premia in other markets. This observation leads to the following identification strategy. We measure the value of funding liquidity from the cross-section of on-the-run premia by adding a liquidity factor to an arbitrage-free term structure model. As predicted, we find that funding liquidity explains the cross-section of risk premia. An increase in the value of liquidity predicts lower risk premia for on-the-run and off-the-run bonds but higher risk premia on LIBOR loans, swap contracts and corporate bonds. Moreover, the impact is large and pervasive through crisis and normal times. We check the interpretation of the liquidity factor. It varies with transaction costs, S&P500 valuation ratios and aggregate uncertainty. More importantly, the liquidity factor varies with narrow measures of monetary aggregates and measures of bank reserves. Overall, the results suggest that different securities serve, in part, and to varying degrees, to fulfill investors' uncertain future needs for cash depending on the ability of intermediaries to provide immediacy.

Nonlinearity is an important consideration in many problems of finance and economics, such as pricing securities and solving equilibrium models. This article provides analytical treatment of a general class of nonlinear transforms for processes with tractable conditional characteristic functions. We extend existing results on characteristic function-based transforms to a substantially wider class of nonlinear functions while maintaining low dimensionality by avoiding the need to compute the density function. We illustrate the applications of the generalized transform in pricing defaultable bonds with stochastic recovery. We also use the method to analytically solve a class of general equilibrium models with multiple goods and apply this model to study the effects of time-varying labor income risk on the equity premium.

Competition among trading platforms has considerably reduced trading fees in stock markets. We show that this evolution is not necessarily beneficial to investors. Although they increase gains from trade when a trade happens, lower trading costs can induce investors to post limit orders with a smaller execution probability. In this case, gains from trade are realized less frequently and investors can be worse off. Our model has testable implications for the effects of trading fees and their breakdown between liquidity suppliers and liquidity demanders on limit order fill rates and bid-ask spreads.

We test whether and how equity overvaluation affects corporate financing decisions using an ex ante misvaluation measure that filters firm scale and growth prospects from market price. We find that equity issuance and total financing increase with equity overvaluation; but only among overvalued stocks; and that equity issuance is more sensitive than debt issuance to misvaluation. Consistent with managers catering to maintain overvaluation and with investment scale economy effects, the sensitivity of equity issuance and total financing to misvaluation is stronger among firms with potential growth opportunities (low book-to-market, high R&D, or small size) and high share turnover.

This paper proposes and tests an investment-flow based explanation for three empirical findings on return predictability -the persistence of mutual fund performance, the "smart money" effect, and stock price momentum. Since mutual fund managers generally scale up or down their existing positions in response to investment flows, and the portfolios of funds receiving capital generally differ from those that lose capital, investment flows to mutual funds can cause significant demand shocks in individual stocks. Moreover, given that mutual fund flows are largely predictable from past fund performance and past flows, this paper further establishes that flow-induced price pressure is predictable. Finally, this paper shows that such flow-based return predictability can fully account for mutual fund performance persistence and the "smart money" effect, and can partially explain stock price momentum.

We study the role of firm- and manager-specific heterogeneities in executive compensation. We decompose the variation in executive compensation and find that time-invariant firm and, especially, manager fixed effects explain a majority of the variation in executive pay. We then show that in many settings, it is important to include fixed effects to mitigate potential omitted variable bias. Furthermore, we find that compensation fixed effects are significantly correlated with management styles (i.e., manager fixed effects in corporate policies). Finally, the method used in the article has a number of potential applications in financial economics. The Author 2011. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.

We examine how local and global political risks affect industry return volatility. Our central premise is that some industries are more sensitive to political events than others. We find that industries that are more dependent on trade, contract enforcement, and labor exhibit greater return volatility when local political risks are higher. Political uncertainty in countries of trading partners of trade-dependent industries similarly results in greater volatility. Volatility decomposition results indicate that while systematic volatility is associated with domestic political uncertainty, global political risks translate into larger idiosyncratic volatility. (JEL G10, G15) On September 29, 2008, the U.S. House of Representatives voted down the bailout bill proposed by the Treasury and the Federal Reserve in order to provide extra liquidity to the troubled U.S. financial markets. Within two hours the Chicago Board Options Exchange Volatility Index increased by 17%, while in one day the Dow Jones Industrial Average Index dropped 778 points. Global stock markets reacted in a similar fashion.1 Clearly, the uncertainty about the outcome of a critical vote was reflected by both domestic and global stock

Although the threat of rare economic disasters can have large effect on asset prices, difficulty in inference regarding both their likelihood and severity provides the potential for disagreements among investors. Such disagreements lead investors to insure each other against the types of disasters each one fears the most. Due to the highly nonlinear relationship between consumption losses in a disaster and the risk premium, a small amount of risk sharing can significantly attenuate the effect that disaster risk has on the equity premium. We characterize the sensitivity of risk premium to wealth distribution analytically. Our model shows that time variation in the wealth distribution and the amount of disagreement across agents can both lead to significant variation in disaster risk premium. It also highlights the conditions under which disaster risk premium will be large, namely when disagreement across agents is small or when the wealth distribution is highly concentrated in agents fearful of disasters. Finally, the model predicts an inverse U-shaped relationship between the equity premium and the size of the disaster insurance market.

Firms that intentionally increase leverage through substantial debt issuances do so primarily as a response to operating needs rather than a desire to make a large equity payout. Subsequent debt reductions are neither rapid, nor the result of proactive attempts to rebalance the firm’s capital structure toward a long-run target. Instead, the evolution of the firm’s leverage ratio depends primarily on whether or not the firm produces a financial surplus. In fact, firms that generate subsequent deficits tend to cover these deficits predominantly with more debt even though they exhibit leverage ratios that are well above estimated target levels. Our findings are broadly consistent with a capital structure theory in which financial flexibility, in the form of unused debt capacity, plays an important role in capital structure choices. (JEL G32) The search for an empirically viable capital structure theory has confounded financial economists for decades. Standard trade-off models of capital structure have been criticized on the grounds that they do a poor job of explaining observed debt ratios. For example, traditional trade-off models have difficulty explaining why firms tend to issue stock after exogenous decreases in leverage

We employ a novel dataset on almost 30,000 trade credit contracts to describe the broad characteristics of the parties that contract together and the key contractual terms of these contracts. Whereas prior work has typically used information on only one side of the buyer-seller transaction, this paper utilizes information on both, allowing for the first analysis of buyer-seller pairs. An equally important distinction is that we have multiple contracts for the same buyer or supplier firms, rather than a firm-average response, allowing for the correction of time-invariant firm characteristics that might determine the choice of credit terms. We find that the largest and most creditworthy buyers receive contracts with the longest maturities from smaller suppliers, and that discounts for early payment tend to be offered to riskier buyers.