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...

Interest rate forecasting remains vexing because of the lower bound. A few tractable models are available, but they offer limited or restrictive volatility dynamics. In response, we build on the popular dynamic Nelson-Siegel approach to greatly expand the space of term-structure models that are...

Central counterparties (CCPs) are becoming central to over-the-counter (OTC) markets. A CCP limits counterparty risk but raises entry barriers. We analyze the trade-off between dealers' equilibrium default risk and competition in an OTC market with imperfect competition and endogenous default...

Standard Gaussian macro-finance term structure models impose the Markov property: the conditional mean is a function of the risk factors. We relax this assumption parsimoniously, and consider models where yields are linear in the conditional mean (but not in the risk factors). To illustrate, if...

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...

We build a small-scale representation of an economy in which the short rate, inflation and output exhibit unobserved secular and cyclical components that both drive bond yields. We impose the economic restriction that expected bond returns are purely cyclical so that their variance does not...

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...

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...

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...

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...