We introduce the Homoscedastic Gamma [HG] model where the distribution of returns is characterized by its mean, variance and an independent skewness parameter under both measures. The model predicts that the spread between historical and risk-neutral volatilities is a function of the risk...

Asset pricing models of limits to arbitrage emphasize the role of funding conditions faced by financial intermediaries. In the US, the Treasury repo market is the key funding market and, hence, theory predicts that the liquidity premium of Treasury bonds share a funding liquidity component with...

The leverage of financial broker-dealers responds to demand- and supply-like shocks. Supply shocks relax their funding constraint and raise leverage, while demand shocks also raise leverage but tighten the constraint. The shocks play opposite roles in financial markets. Leverage supply shocks...

Using granular data about government bonds, we find that dealer networks undergo significant changes after the arrival of new public information. Following the release of macroeconomic data, dealer intermediation increases, the dealers' inventory changes and more bonds circulate through the...

An emerging literature relies on an index of limits of arbitrage in fixed-income markets. We analyze the benefits of an index that is model-free, robust and intuitive. This new index strengthens the evidence that limits of arbitrage proxy for risks priced in the cross-section of returns. Trading...

Macro news have large impact on bond yields in high-frequency data. We aggregate the impact of macro news within each month, which we use in a no-arbitrage term structure models. We find that macro news explain 50 percent in the term premium of the 10-year bond at the monthly frequency and 40...

Specifications of the Federal Reserve target rate that have more realistic features mitigate in-sample over-fitting and are favored in the data. Imposing a positivity constraint and discrete increments significantly increase the accuracy of model out-of-sample forecasts for the level and...

We find strong evidence of a funding risk premium in the cross-section of asset returns. Our estimate for the price of funding risk is robust across Treasury bonds, corporate bonds, equities, and hedge funds. Funding shocks pose a risk to investors because they exacerbate the illiquidity and...

Expected returns vary when investors face time-varying investment opportunities. In theory, structural long-run risk models (Bansal and Yaron, 2004) and no-arbitrage affine models (Duffie, Pan, and Singleton, 2000) emphasize sources of risk that are not observable to the econometrician. We show...

Cochrane and Piazzesi (2005) show that (i) lagged forward rates help predict bond returns and that (ii) modern Markovian dynamic term structure models (DTSMs) cannot match the evidence. We develop the family of Conditional Mean DTSMs where the dynamics depend on current yields and their history...