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 forecast CPI inflation in the United Kingdom up to one year ahead using a large set of monthly disaggregated CPI item series combined with a wide set of forecasting tools, including dimensionality reduction techniques, shrinkage methods and non-linear machine learning models. We find that...

We propose a mixed‑frequency regression prediction approach that models a time‑varying trend, stochastic volatility and fat tails in the variable of interest. The coefficients of high‑frequency indicators are regularised via a shrinkage prior that accounts for the grouping structure 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...

Multidimensional Value at Risk (MVaR) generalises VaR in a natural way as the intersection of univariate VaRs. We reduce the dimensionality of MVaRs which allows for adapting the techniques and applications developed for VaR to MVaR. As an illustration, we employ VaR forecasting and evaluation...

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...

We show that exchange rate pass-through to consumer prices varies not only across countries, but also over time. Previous literature has highlighted the role of an economy's ‘structure' — such as its inflation volatility, inflation rate, use of foreign currency invoicing, and openness — in...

In this paper, we use an estimated DSGE model of the UK economy to investigate perceptions of the effectiveness of monetary policy since the onset of the 2007–08 financial crisis in a number of measures of deflation probability — the Survey of Economic Forecasts, financial-market option...

This paper outlines the properties of one of the models used at the Bank of England for analyzing the impact of energy prices on the UK economy. We build a dynamic general equilibrium model that includes a variety of channels through which energy prices affect demand and supply. On the demand...

Evidence from a large and growing empirical literature strongly suggests that there have been changes in inflation and output dynamics in the United Kingdom. This is largely based on a class of econometric models that allow for time-variation in coefficients and volatilities of shocks. While...