In a factor-augmented regression, the forecast of a variable depends on a few factors estimated from a large number of predictors. But how does one determine the appropriate number of factors relevant for such a regression? Existing work has focused on criteria that can consistently estimate the...

This paper revisits a number of data-rich prediction methods that are widely used in macroeconomic forecasting, such as factor models and Bayesian shrinkage regression, and compares these methods with a lesser known alternative: partial least squares regression. In this method, linear,...

A 2012 paper by Goodhart, Kashyap, Tsomocos, and Vardoulakis (GKTV) proposes a dynamic general equilibrium framework that provides a conceptual - and to some extent quantitative - framework for the analysis of macroprudential policies. The distinguishing feature of GKTV's paper relative to any...

One year after passage of the Dodd-Frank Act (DFA), regulators proposed several of the rules required for its implementation. In this paper, I discuss some aspects of proposed DFA rules in light of shadow banking. The topics are risk-retention rules for securitized products and the impact of...