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...

We present evidence of product market adjustments and asset reorganizations from the largest ever shift in risk regulation in a developed insurance market. Using proprietary data on insurance risk exposures from the Bank of England, we develop a measure of regulatory constraints that is...

This paper examines how the interactions between the valuation regime and solvency requirements influence investment behaviour of long-term investors with stable liabilities, such as life insurers. Under limited liability, solvency requirements based on historical cost valuation encourage...

Market-based measures of inflation expectations can be derived either from the difference between yields on nominal and inflation-linked government bonds or from inflation swap rates. These measures are important indicators of the outlook for inflation and are monitored regularly by the United...

We develop early warning models for financial crisis prediction using machine learning techniques on macrofinancial data for 17 countries over 1870–2016. Machine learning models mostly outperform logistic regression in out-of-sample predictions and forecasting. We identify economic drivers of...

This paper analyses the nominal and real interest rate term structures in the United Kingdom over the fifteen-year period that the UK monetary authorities have pursued an explicit inflation target, using a four-factor essentially affine term structure model. The model imposes no-arbitrage...

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...