This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its...

We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock...

The uncertainty around future changes to the Federal Reserve target rate varies over time. In our results, the main driver of uncertainty is a "path" factor signaling information about future policy actions, which is filtered from federal funds futures data. The uncertainty is highest when it...

Using the Panel Study of Income Dynamics, this paper studies household stock market participation and trading behavior in 2007 - 09, a period that saw a major stock market downswing. The stock market participation rate fell after the market crash. We find evidence that less-educated households,...

Following theory, we check that funding risk connects illiquidity, volatility and returns in the cross-section of stocks. We show that the illiquidity and volatility of stocks increase with funding shocks, while contemporaneous returns decrease with funding shocks. The dispersions of...

Some key features in the historical dynamics of U.S. Treasury bond yields-a trend in long-term yields, business cycle movements in short-term yields, and a level shift in yield spreads-pose serious challenges to existing equilibrium asset pricing models. This paper presents a new equilibrium...

In this paper, we present a novel method to extract the risk-neutral probability of default of a firm from American put option prices. Building on the idea of a default corridor proposed in Carr and Wu (2011), we derive a parsimonious closed-form formula for American put option prices from which...

The use of fundamentalist traders in the stock market models is problematic since fundamental values in the real world are unknown. Yet, in the literature to date, fundamentalists are often required to replicate key stylized facts. The authors present an agent-based model of the stock market in...

We decompose total variance into its bad and good components and measure the premia associated with their fluctuations using stock and option data from a large cross-section of firms. The total variance risk premium (VRP) represents the premium paid to insure against fluctuations in bad variance...