We revisit a central task of the extant liquidity literature, which is to identify effective measures of liquidity, in the context of sovereign bonds and the new Basel III regulatory framework. We critically assess the influential practice of identifying the best liquidity measures based on...

We propose a simple model that captures the link between bank and sovereign credit risk. It allows evaluating policy options to address this ‘doom loop’ in which the government may need to raise debt to recapitalise banks, and an increase in government debt raises sovereign risk and in turn...

Accurate, real-time measurements of price index changes using electronic records are essential for tracking inflation and productivity in today's economic environment. We develop empirical hedonic models that can process large amounts of unstructured product data (text, images, prices,...

We develop empirical models of hedonic prices and derive hedonic indices for measuring changes in customer welfare based upon deep learning. We first generate abstract product attributes, or "features," from text descriptions and images using deep neural networks, and then use these attributes...

While the yield spread has long been recognized as a good predictor of recessions, it seems to have been largely overlooked by professional forecasters. We examine this puzzle, established by Rudebusch and Williams (2009), in a data-rich environment including not just the yield spread but many...