Bank Rate maintained at 3.75% - July 2026 Monetary Policy Summary and Minutes
The Bank of England’s Monetary Policy Committee is responsible for making decisions about Bank Rate.
Central banks
Let the tree decide: FABART. A non-parametric factor model for nonlinear oil shock transmission
The question of how oil supply news shocks transmit to real activity, financial conditions, and regional labor markets is back at the center of the macroeconomic research agenda. To answer this question, we introduce the Factor Bayesian Additive Regression Tree (FABART) model, a nonlinear factor-augmented vector autoregression model, and apply it to a large U.S. macro-financial dataset with externally identified oil supply news shocks.
Subjective earnings and employment dynamics
We develop a new approach to estimating earnings, job, and employment dynamics using subjective expectations data from the NY Fed Survey of Consumer Expectations. These data provide beliefs about future earnings offers and acceptance probabilities, offering direct information on counterfactual outcomes and enabling identification under weaker assumptions. Our framework avoids biases from selection and unobserved heterogeneity that affect models using realized outcomes.
Let the tree decide: FABART. A non-parametric factor model for nonlinear oil shock transmission
The question of how oil supply news shocks transmit to real activity, financial conditions, and regional labor markets is back at the center of the macroeconomic research agenda. To answer this question, we introduce the Factor Bayesian Additive Regression Tree (FABART) model, a nonlinear factor-augmented vector autoregression model, and apply it to a large U.S. macro-financial dataset with externally identified oil supply news shocks.
Subjective earnings and employment dynamics
We develop a new approach to estimating earnings, job, and employment dynamics using subjective expectations data from the NY Fed Survey of Consumer Expectations. These data provide beliefs about future earnings offers and acceptance probabilities, offering direct information on counterfactual outcomes and enabling identification under weaker assumptions. Our framework avoids biases from selection and unobserved heterogeneity that affect models using realized outcomes.
A SPOT in the dark: using AI to assess financial stability risks
Financial stability risks consist of two distinct components: vulnerabilities and possible trigger events. While there has been considerable progress regarding the measurement of vulnerabilities, the assessment of possible trigger events remains largely qualitative. To fill this gap, we employ Large Language Models to extract information about the Severity and Probability Of potential Trigger events (SPOT) from a large dataset of financial news articles over the period2005 – 2026.
Threshold endogeneity in vector autoregressions: reassessing monetary state dependence
We develop an endogenous threshold VAR that addresses contemporaneous dependence between the threshold variable and reduced-form innovations— a pervasive issue when regime indicators are jointly determined with system dynamics. A regime-specific copula-based control function removes this dependence instrument-free, without parametric assumptions on the threshold’s marginal distribution, while preserving the linear regime-wise least-squares structure.
A SPOT in the dark: using AI to assess financial stability risks
Financial stability risks consist of two distinct components: vulnerabilities and possible trigger events. While there has been considerable progress regarding the measurement of vulnerabilities, the assessment of possible trigger events remains largely qualitative. To fill this gap, we employ Large Language Models to extract information about the Severity and Probability Of potential Trigger events (SPOT) from a large dataset of financial news articles over the period2005 – 2026.
Threshold endogeneity in vector autoregressions: reassessing monetary state dependence
We develop an endogenous threshold VAR that addresses contemporaneous dependence between the threshold variable and reduced-form innovations— a pervasive issue when regime indicators are jointly determined with system dynamics. A regime-specific copula-based control function removes this dependence instrument-free, without parametric assumptions on the threshold’s marginal distribution, while preserving the linear regime-wise least-squares structure.
The Paris Agreement ten years later: Navigating climate uncertainty and tipping points
The climate crisis is an urgent, human-driven systemic challenge whose impacts are unfolding through increasingly frequent and severe extreme events. Although the 2015 Paris Agreement advanced global climate governance, implementation remains insufficient to limit warming to well below 2 °C and pursue 1.5 °C. Accelerating risks, interacting crises and potential tipping points suggest that climate change could become unmanageable if current GHGs emissions trajectories persist. This paper makes three contributions.
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