This paper examines the short- and long-run effects of U.S. federal personal income and corporate income tax cuts on a wide array of economic policy variables in a data-rich environment. Using a panel of U.S. macroeconomic data set, made up of 132 quarterly macroeconomic series for 1959-2018,...

We propose a framework for nonparametric identification and estimation of discrete choice models with unobserved choice sets. We recover the joint distribution of choice sets and preferences from a panel dataset on choices. We assume that either the latent choice sets are sparse or that the...

This paper discusses an empirical model of UK GDP growth in the context of the COVID-19 pandemic. The model estimates that social distancing and lockdown restrictions reduced, on average, annual UK growth by 9.7 percentage points compared to the scenario of no government action. At the other...

I examine the relative information roles among West Texas Intermediate spot crude price and four futures contracts (F1 through F4) with different maturities. Using a cointegrated system with a non-unitary cointegrating vector, I address price discovery by investigating which price is more...

Expected returns should not only include rewards for accepting the risk of a potential downside loss, but also discounts for potential upside gains. Since investors care differently about upside gains versus downside losses, they require a risk premium for bearing the relative downside risk. We...

The goal of this paper is to show that the growth rate of the Baltic Dry Index (BDI) has predictive ability for a range of stock markets, which is demonstrated through in-sample tests and out-of-sample statistics.The documented stock return predictability is also of economic significance, as...

This paper proposes a generalized arbitrage-free macro finance term structure model with both Nelson-Siegel latent yield factors and observable macro factors. Two subclasses are derived: spanned and unspanned models. In the spanned model, the yields are determined by both the Nelson-Siegel yield...

We contrast two different asset pricing models, where the pricing kernel either (i) increases in the volatility dimension, reflecting investors' aversion to volatility, or (ii) could be non-monotonic in volatility, reflecting heterogeneity in investors' beliefs. The two models yield opposite...

The goal of this paper is to show that the growth rate of the Baltic Dry Index (BDI) has predictive ability for a range of stock markets, which is demonstrated through in-sample tests and out-of-sample statistics.The documented stock return predictability is also of economic significance, as...

This paper presents an option positioning that allows us to infer forward variances from option portfolios. The forward variances we construct from equity index options help to predict (i) growth in measures of real economic activity, (ii) Treasury bill returns, (iii) stock market returns, and...