Tail interdependence is defined as the situation where extreme outcomes for some variables are informative about such outcomes for other variables. We extend the concept of multi-information to quantify tail interdependence at different levels of extremity, decompose it into systemic and...

Using novel data and machine learning techniques, we develop an early warning system for bank distress. The main input variables come from confidential regulatory returns, and our measure of distress is derived from supervisory assessments of bank riskiness from 2006 through to 2012. We...

We introduce machine learning in the context of central banking and policy analyses. Our aim is to give an overview broad enough to allow the reader to place machine learning within the wider range of statistical modelling and computational analyses, and provide an idea of its scope and...

We propose a generic workflow for the use of machine learning models to inform decision making and to communicate modelling results with stakeholders. It involves three steps: (1) a comparative model evaluation, (2) a feature importance analysis and (3) statistical inference based on Shapley...

This paper develops a DSGE model in which banks use short-term deposits to provide firms with long-term credit. The demand for long-term credit arises because firms borrow in order to finance their capital stock which they only adjust at infrequent intervals. We show within a real business cycle...

Firms with high pre-crisis cash holdings invested significantly more than their cash-poor rivals during the global financial crisis and especially so during the recovery phase. This resulted in a persistent and growing investment gap between cash-rich and cash-poor firms. Cash especially...

We use new firm-level estimates of the cost of capital and uncertainty to study the drivers of UK business investment in a neoclassical investment model. We construct firm-specific measures of the cost of capital and uncertainty and use new UK survey data to estimate firm-specific investment...

Using a structural vector autoregression, we document that a contractionary monetary policy shock triggers a decline in durable and non-durable outputs as well as a contraction in bank equity and a rise in the excess bond premium. The latter points to an important transmission channel of...

We find that capital renting makes up one fifth of US capital expenditures, and it increases during downturns. Further, we present cross-country evidence that output losses after financial crises are smaller where renting is more prevalent. To understand these findings, we build a general...

Large deficits have opened up on defined benefit pension schemes in the United Kingdom since 2007, and at the same time investment expenditure has been subdued; this is a common phenomenon in other countries too. We use privileged access to a unique new data set from The Pensions Regulator and two...