Existing high-frequency monetary policy shocks explain surprisingly little variation in stock prices and exchange rates around FOMC announcements. Further, both of these asset classes display heightened volatility relative to non-announcement times. We use a heteroskedasticity-based procedure to...

Exchange-rate models fit very well for the U.S. dollar in the 21st century. A "standard" model that includes real interest rates and a measure of expected inflation for the U.S. and the foreign country, the U.S. comprehensive trade balance, and measures of global risk and liquidity demand is...

Missing data for return predictors is a common problem in cross sectional asset pricing. Most papers do not explicitly discuss how they deal with missing data but conventional treatments focus on the subset of firms with no missing data for any predictor or impute the unconditional mean. Both...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performance--in terms of SDF Sharpe ratio and test asset pricing errors--is improving in model parameterization (or "complexity"). Our empirical findings verify the...

This paper studies the predictability of ultra high-frequency stock returns and durations to relevant price, volume and transactions events, using machine learning methods. We find that, contrary to low frequency and long horizon returns, where predictability is rare and inconsistent,...

Financial markets play two roles with implications for the exchange rate: they accommodate risk sharing and act as a source of shocks. In prevailing theories, these roles are seen as mutually exclusive and individually face challenges in explaining exchange rate dynamics. However, we demonstrate...

The U.S. dollar's nominal effective exchange rate closely tracks global financial conditions, which themselves show a cyclical pattern. Over that cycle, world asset prices, leverage, and capital flows move in concert with global growth, especially influencing the fortunes of emerging and...

Sovereign borrowing during inflation surges is a litmus test of a government's ability to withstand and navigate macroeconomic shocks. Based on transaction-level bond issuance data, we explore how sovereign financing strategies respond to inflation surges and how policy practices affect their...