This paper describes a quantitative, data-driven method to assess vulnerabilities in a range of countries. We provide country-level vulnerability indices which can be used to gauge the level of fragility at any point in time. In particular, our results suggest that in the run-up to the Global...

We investigate the role of macroeconomic shocks in driving equity price dynamics, focusing in particular on the United Kingdom as a small open economy. Using a vector error correction model estimated on 34 macroeconomic and financial time series, we show that shocks to demand, supply, monetary...

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...

This paper examines the role of high-frequency traders in flash episodes in electronic financial markets. To do so, we construct an agent-based model of a market for a financial asset in which trading occurs through a central limit order book. The model consists of heterogeneous agents with...

Systemic risk in the banking sector is usually associated with long periods of economic downturn and very large social costs. On one hand, shocks coming from correlated exposures towards the real economy may induce correlation in banks’ default probabilities thereby increasing the likelihood...

We examine the role of macroeconomic fluctuations, asset market liquidity, and network structure in determining contagion and aggregate losses in a stylised financial system. Systemic instability is explored in a financial network comprising three distinct, but interconnected, sets of agents -...

In this paper, we analyse the network of exposures constructed by using the UK trade repository data for three different categories of contracts: interest rate, credit, and foreign exchange derivatives. We study how liquidity shocks related to variation margins propagate across the network and...

Default correlation is a key driver of credit risk. In the Basel regulatory framework it is measured by the asset value correlation parameter. Though past studies suggest that the parameter is over-calibrated for mortgages — generally the largest asset class on banks' balance sheets — they...

We construct a heterogeneous agent-based model of the corporate bond market capturing the interaction of market maker behaviour, fund trading strategies, and cash allocation by investors in funds to study feedback effects and the impact of market changes. The model parameters are calibrated...

Collateral plays an important role in supporting a vast range of transactions that help ensure the efficient functioning of the financial system. But collateral markets also have the potential to exacerbate risks to financial stability, not least given that during periods of market stress demand...