Tracking Pillar 2 Adjustments Through Macroeconomic Factors: Insights from PCA and BVAR

Bojan Baškot (), Milan Lazarević, Ognjen Erić and Dalibor Tomaš
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Bojan Baškot: Faculty of Economics, University of Banja Luka, Majke Jugovića 4, 78000 Banja Luka, Republika Srpska, Bosnia and Herzegovina
Milan Lazarević: Erste Bank Bulevar Milutina Milankovica 3A, 11070 Belgrade, Serbia
Ognjen Erić: Faculty of Economics, University of Banja Luka, Majke Jugovića 4, 78000 Banja Luka, Republika Srpska, Bosnia and Herzegovina
Dalibor Tomaš: Faculty of Economics, University of Banja Luka, Majke Jugovića 4, 78000 Banja Luka, Republika Srpska, Bosnia and Herzegovina

Risks, 2025, vol. 13, issue 11, 1-20

Abstract: This paper investigates the systemic macroeconomic determinants of Pillar 2 Requirements (P2R) imposed by the European Central Bank (ECB) under the Single Supervisory Mechanism (SSM). While P2R is formally calibrated at the individual bank level through the Supervisory Review and Evaluation Process (SREP), we explore the extent to which common macro-financial shocks influence supervisory capital expectations across banks. Using a panel dataset covering euro area banks between 2021 and 2025, we match bank-level P2R data with country-level macroeconomic indicators. Those variables include real GDP growth, HICP inflation and index levels, government fiscal balance, euro yield curve spreads, net turnover, FDI inflows, construction and industrial production indices, the price-to-income ratio in real estate, and trade balance measures. We apply Principal Component Analysis (PCA) to extract latent variables related to the macroeconomic factors from a broad set of variables, which are then introduced into a Bayesian Vector Autoregression (BVAR) model to assess their dynamic impact on P2R. Our results identify three principal components that capture general macroeconomic cycles, sector-specific real activity, and financial/external imbalances. The impulse response analysis shows that sectoral and external shocks have a more immediate and statistically significant influence on P2R adjustments than broader macroeconomic trends. These findings clearly support the use of systemic macro-financial conditions in supervisory decision-making and support the integration of anticipating macro-prudential analysis into capital requirement frameworks.

Keywords: Pillar 2 Requirements; macroeconomic shocks; Principal Component Analysis; Bayesian Vector Autoregression (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:13:y:2025:i:11:p:207-:d:1781988

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