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Martina Jančoková

16 December 2014
This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms
JEL Code
C33 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Panel Data Models, Spatio-temporal Models
G33 : Financial Economics→Corporate Finance and Governance→Bankruptcy, Liquidation
23 June 2017
Financial globalisation and spillovers have gained immense prominence over the last two decades. Yet, powerful cross-border financial spillover channels have not become a standard element of structural monetary models. Against this background, we hypothesise that New Keynesian DSGE models that do not feature powerful financial spillover channels confound the effects of domestic and foreign disturbances when confronted with the data. We derive predictions from this hypothesis and subject them to data on monetary policy shock estimates for 29 economies obtained from more than 280 monetary models in the literature. Consistent with the predictions from our hypothesis we find: Monetary policy shock estimates obtained from New Keynesian DSGE models that do not account for powerful financial spillover channels are contaminated by a common global component; the contamination is more severe for economies that are more susceptible to financial spillovers in the data; and the shock estimates imply implausibly similar estimates of the global output spillovers from monetary policy in the US and the euro area. None of these findings applies to monetary policy shock estimates obtained from VAR and other statistical models, financial market expectations and the narrative approach.
JEL Code
F42 : International Economics→Macroeconomic Aspects of International Trade and Finance→International Policy Coordination and Transmission
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
C50 : Mathematical and Quantitative Methods→Econometric Modeling→General
21 May 2021
This paper looks at the impact of mitigation policies implemented by supervisory and macroprudential authorities as well as national governments in the euro area during the coronavirus (COVID-19) pandemic to support lending to the real economy. The impact assessment concerns joint, and individual, effect of supervisory measures introduced by the ECB Banking Supervision, a reduction in macroprudential buffers put forward by national macroprudential authorities, and public moratoria and guarantee schemes. The analysis has been conducted in the first half of 2020, in a situation of high uncertainty about how the crisis will develop in the future. Against this backdrop, it proposes a method of addressing such uncertainty by assessing the impact of policies across a full range of scenarios. We find that the supervisory, macroprudential and government policies should have helped to maintain higher lending to the non-financial private sector (around 5% higher than lending in the absence of policy measures) and, in particular, to non-financial corporations (12% higher than lending in the absence of policy measures), preventing further amplification of the recession via the banking sector. The national and supervisory and macroprudential actions have reinforced each other, and have been jointly able to affect a broader share of the banking sector.
JEL Code
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation