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.

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.

When England crashes out of a football tournament, the stock market takes a dive

On July 15 2026, England were just five tantalising minutes away from their first men’s World Cup final since 1966. But that was before Argentina scored two goals to claim victory in stoppage time.

The next morning, the professional reputation of England’s head coach Thomas Tuchel had taken quite a hit. So too had the London stock market, which dipped by 0.5% shortly after opening.

Trump administration changes to ‘public charge’ rule could keep millions of immigrants – and their US citizen kids – from getting healthcare they need

A new policy could deny an immigration application based on the use of government benefits by a close relative. wildpixel/iStock via Getty Images PlusImagine this scenario: It is 2023, and a woman we’ll call Jessica and her husband, Pedro, make the difficult decision to leave Venezuela for the United States after they become targets of political repression. Soon after their arrival, they apply for asylum.

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