Stock market and sovereign shocks pose greatest risk to bank capital
A European Central Bank working paper introduces MuSE, a simulation engine designed to generate thousands of macro-financial stress scenarios. Using top-down solvency models, the study finds that stock market and sovereign debt shocks reduce euro area bank capital ratios the most.
Equity crashes and sovereign stress hit banks hardest
Researchers tested the MuSE simulation framework against historical crisis patterns, including the 2008 global financial crisis, the 2011 sovereign debt crisis, and 2022 geopolitical shocks.
Applying a top-down solvency model across euro area banks revealed that adverse scenarios triggered by stock market crashes and sovereign spread widenings cause the largest capital depletion.
Global systemically important banks and investment firms face the deepest losses during severe equity market drops.
Traditional lenders and universal banks suffer most under sovereign debt fragmentation in southern Europe.
Conversely, geopolitical shocks causing yield curve inversions prove less damaging because elevated interest rates temporarily support bank net interest income.
Three pillars behind thousands of crisis simulations
MuSE relies on three integrated econometric pillars to construct consistent three-year scenarios.
First, a non-parametric copula bootstraps high-frequency financial indicators to capture extreme joint tail risks.
Second, these market shocks are aggregated into financial stress indices for the euro area and its four largest economies.
Third, a multi-country Bayesian vector autoregressive model maps the financial shocks into three-year macroeconomic trajectories, including GDP growth, inflation, and sovereign yields.
A necessary leap beyond single-scenario blind spots
Single-scenario stress tests risk blinding regulators to complex systemic vulnerabilities.
By generating thousands of consistent shock paths, MuSE marks a key advance in macroprudential risk assessment.
Supervisors finally gain a tool to test bank capital against realistic market tail events rather than arbitrary assumptions.