In this paper, we provide evidence that fat tails and stochastic volatility can be important in improving in-sample fit and out-of-sample forecasting performance. Specifically, we construct a VAR model where the orthogonalised shocks feature Student's t distribution and time-varying variance. We...

We present a new method for estimating Bayesian vector auto-regression (VAR) models using priors from a dynamic stochastic general equilibrium (DSGE) model. We use the DSGE model priors to determine the moments of an independent Normal-Wishart prior for the VAR parameters. Two hyper-parameters...

This paper quantitatively studies the behaviour of major banks' household deposit funding in the United Kingdom. We estimate a panel of Bayesian vector autoregressive models on a unique data set compiled by the Bank of England, and identify deposit demand and supply shocks, both to individual...

This paper identifies shocks to credit conditions based on aggregate firms' debt composition. I develop a model where firms fund production with bonds and loans. Only financial shocks imply opposite movements in the two types of debt as firms adjust their debt composition to new credit...

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...

This paper assesses the extent to which common factors underlie indicators of vulnerability to financial crises in emerging market economies and whether this link is changing over time. We use a Bayesian dynamic common factor model to estimate their common component in a sample of up to 41...

Gertler and Karadi combined financial intermediation and credit policy in a DSGE framework. We estimate their model with UK data using Bayesian techniques. To validate the fit, we evaluate the model's empirical properties. Then we analyse the transmission mechanism of the shocks, set to produce...

This paper investigates the role of credit demand and supply shocks in driving the weakness in UK banks' lending and economic activity during both the recent financial crisis and the various UK financial crises since 1966. It uses a structural vector autoregression analysis to identify separate...

This paper studies the effects of macroeconomic shocks on business investment in the United Kingdom by filtering a large UK firm-level based dataset of financial accounts into macro-level proxy indicators, and then using these indicators in a Bayesian vector autoregression framework to analyse...

Despite years of research, there is still uncertainty around the effects of monetary policy shocks. We reassess the empirical evidence by combining a new identification that accounts for informational rigidities, with a flexible econometric method robust to misspecifications that bridges between...