This paper looks at the evolution of U.S. stock prices from the time of the Presidential elections to the end of 2017. It concludes that a bit more than half of the increase in the aggregate U.S. stock prices from the presidential election to the end of 2017 can be attributed to higher actual...

We estimate time-varying expected excess returns on the US stock market from 1983 to 2008 using a model that jointly captures the arbitrage-free dynamics of stock returns and nominal bond yields. The model nests the class of affine term structure (of interest rates) models. Stock returns and...

Using a very large data set with more than 9,700 stocks listed on NYSE, AMEX and NASDAQ, we analyze overnight price jumps and report short-term investor overreaction to information shocks and document return reversal and predictability up to five days. For negative and positive overnight jumps,...

In this paper, I analyze the role of credit risk in explaining cross-sectional stock returns. I utilize Credit Default Swap (CDS) spreads to construct a credit risk factor-mimicking portfolio, which I label as Distressed-minus-Stable (DMS). As CDS contracts are written mainly on large firms, our...

This paper examines whether effects of labor demand shocks on housing prices vary across time and space. Using data on 321 US metropolitan statistical areas, we estimate the medium- and long-run effects of increases in metropolitan statistical area-level employment and total labor income on...

Three fundamental forces have shaped labor markets over the last 50 years: the secular increase in the returns to education, educational upgrading, and the integration of large numbers of women into the workforce. We modify the Katz and Murphy (1992) framework to predict the structure of the...

This paper investigates whether the Covid-19 recession led to an increase in demand for digital occupations in the United States. Using O*NET to capture the digital content of occupations, we find that regions that were hit harder by the Covid-19 recession experienced a larger increase in the...

This paper investigates whether the COVID-19 recession led to an increase in demand for digital occupations in the United States. Using O*NET to capture the digital content of occupations, we find that regions that were hit harder by the COVID-19 recession experienced a larger increase in the...

This research uses macro factors to explain four standard U.S. stock market risk premia, i.e. the market excess return (RM-RF), size (SMB), value (HML), and momentum (WML). We find in-sample predictive power of macro factors, in particular at a one-year horizon. Differentiating between bull and...