Financial institutions

Geopolitical risk shocks: when the size matters

In this paper, we investigate the presence of non-linearities in the transmission of geopolitical risk (GPR) shocks. Our methodology involves incorporating a non-linear function of the identified shock into a VARX model and examining its impulse response functions and historical decomposition. We find that the primary transmission channel of such shocks is associated with heightened uncertainty,which significantly escalates only with substantially large GPR shocks (i.e., above 4 standard deviations).

Macro uncertainty, unemployment risk, and consumption dynamics

Households' income heterogeneity is important to explain consumption dynamics in response to aggregate macro uncertainty: an increase in uncertainty generates a consumption drop that is stronger for income poorer households. At the same time, labor markets are strongly responsive to macro uncertainty as the unemployment rate and the job separation rate rise, while the job finding rate falls. A heterogeneous agent New Keynesian model with search and matching frictions in the labor market can account for these empirical findings.

The not-so-hidden risks of ‘hidden-to-maturity’ accounting: on depositor runs and bank resilience

We build a balance sheet-based model to capture run risk, i.e., a reduced potential to raise capital from liquidity buffers under stress, driven by depositor scrutiny and further fuelled by fire sales in response to withdrawals. The setup is inspired by the Silicon Valley Bank (SVB) meltdown in March 2023 and our model may serve as a supervisory analysis tool to monitor build-up of balance sheet vulnerabilities. Specifically, we analyze which characteristics of the balance sheet are critical in order for banking system regulators to adequately assess run risk and resilience.

Climate risk, bank lending and monetary policy

Combining euro-area credit register and carbon emission data, we provide evidence of a climate risk-taking channel in banks’ lending policies. Banks charge higher interest rates to firms featuring greater carbon emissions, and lower rates to firms committing to lower emissions, controlling for their probability of default. Both effects are larger for banks committed to decarbonization.

The pass-through to inflation of gas price shocks

This paper uses a Bayesian Structural Vector Autoregressive (BSVAR) framework to estimate the pass-through of unexpected gas price supply shocks on HICP inflation in the euro area and its four largest economies. In comparison to oil price shocks, gas price shocks have approximately one-third smaller pass-through to headline inflation. Country-specific results indicate gas price increases matter more for German, Spanish and Italian inflation than for French inflation, hinging on the reliance on energy commodities in consumption, production, and different electricity prices regulation.

FEDS Paper: Spectral backtests unbounded and folded

Michael B. Gordy and Alexander J. McNeilIn the spectral backtesting framework of Gordy and McNeil (2020) a probability measure on the unit interval is used to weight the quantiles of greatest interest in the validation of forecast models using probability-integral transform (PIT) data. We extend this framework to allow general Lebesgue-Stieltjes kernel measures with unbounded distribution functions, which brings powerful new tests based on truncated location-scale families into the spectral class.

FEDS Paper: Optimal Monetary Policy with Uncertain Private Sector Foresight

Christopher Gust and David Lopez-SalidoCentral banks operate in a world in which there is substantial uncertainty regarding the transmission of its actions to the economy because of uncertainty regarding the formation of private-sector expectations. We model private sector expectations using a finite horizon planning framework: Households and firms have limited foresight when deciding spending, saving, and pricing decisions.

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