We use machine learning to construct a statistically optimal and unbiased benchmark for firms' earnings expectations. We show that analyst expectations are on average biased upwards, and that this bias exhibits substantial time-series and cross-sectional variation. On average, the bias increases...

Using a panel of international government bond data, I construct fixed income portfolios that match the duration of the dividend strips of the corresponding local aggregate stock market index. I find that these bond portfolios have performed as well as -- if not better than -- their stock...

We analyze the effectiveness of preventive investments aimed at increasing agents' life expectancy, with a focus on influenza and COVID-19 mitigation. Maximizing overall life expectancy requires allocating resources across hazards so as to equalize investments' marginal effectiveness. Based on...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

We examine the transmission of monetary policy shocks to the long-duration liabilities of households and firms using high-frequency variation in 10-year swap rates around FOMC announcements. We find that four weeks after the announcement mortgage rates move one-for-one with 10-year swap rates,...

We summarize and extend the new literature on the term structure of equity. Short-term equity claims, or dividend strips, have on average significantly higher returns than the aggregate stock market. The returns on short-term dividend claims are risky as measured by volatility, but safe as...

We propose a new method of testing asset pricing models that relies on using quantities rather than prices or returns. We use the capital flows into and out of mutual funds to infer which risk model investors use. We derive a simple test statistic that allows us to infer, from a set of candidate...

We establish an important role for the firm by studying capital reallocation decisions of mutual fund firms. At least 30% of the value mutual fund managers add can be attributed to the firm's role in efficiently allocating capital amongst its mutual fund managers. We find no evidence of a...

Using the dollar-value a mutual fund manager adds as the measure of skill, we find that not only does skill exist (the average mutual fund manager adds about $2 million per year), but this skill is persistent, as far out as 10 years. We further document that investors recognize this skill and...

We study a new data set of prices of traded dividends with maturities up to 10 years across three world regions: the US, Europe, and Japan. We use these asset prices to construct equity yields, analogous to bond yields. We decompose these yields to obtain a term structure of expected dividend...