The Effects ofB ank R escue M easures in the recent FinancialC risis Jan in 'tVeld DG -EC FIN ,European C om mission W ernerR oeger DG -EC FIN ,European C om mission September,2011 The views expressed in this paper are those of the authors and should not be attributed to the European C om mission.
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1. Standard fiscal measures and bank rescue measures
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The Effects of Bank Rescue Measures in the recent Financial Crisis
Jan in 't Veld DG-ECFIN, European Commission
Werner Roeger DG-ECFIN, European Commission
September, 2011
The views expressed in this paper are those of the authors and should not be attributed to the European Commission.
1. Introduction There has been an intense debate about the effects of fiscal measures in the recent
financial crisis.
The Debate concentrates on the effects government purchases and transfers to
households, and of tax cuts (see, e.g., Coenen et al. (2010), Corsetti et al. (2010)
and Drautzburg and Uhlig (2010)).
However, a key dimension of the fiscal policy response to the crisis were sizable
government interventions in the banking system, in the form of bank asset
purchases, loan guarantees and bank recapitalization.
As documented below, these ‘unconventional’ fiscal interventions were actually larger
than the changes in standard fiscal instruments enacted during the crisis.
Surprisingly, the macro-economic effects of these unconventional fiscal measures
directed at the financial sector have, so far, received little attention in the literature.
This paper seeks to fill this gap, by analyzing the effect of state-aid to banks, using
the Commission's macroeconomic model QUEST III augmented by a financial sector.
Our Approach:
We make a simple extension of a standard DSGE model by distinguishing between
three types of households
1 Risk averse savers (deposits, government bonds)
2 Less risk averse savers (equity of banks and non financial firms)
3 (Mortgage) Debtors
Losses originate from debtor households and are borne by equity owners.
Government intervention may be helpful in spreading risks across all households
Other Approaches: There are other models which emphasise moral hazard (Gertler and Karadi (2010)), adverse selection (Ikeda (2011)), asymmetric information and monitoring costs (Hirakata et al. (2009))
Also Angeloni and Faia (2010) have build a Diamond/Rajan (2000) banking model
into a DSGE model and have used it for analysing alternative fiscal and monetary
policies
Krishnamurthy (2009) provides an overview of the various models.
He makes a distinction between two alternative amplification channels, namely via
balance sheet effect and via uncertainty (as emphasised by Caballero (2009) or
Bean (2010)).
Standard fiscal measures
US: American Recovery and Reinvestment Act (ARRA) – about 2% of GDP ,
EU: European Economic Recovery Plan (EERP)- about 0.8% of GDP
Table 1: Conventional fiscal stimulus measures (as % of GDP) US EU 2009 2010 2009 2010 Total fiscal stimulus 1.98 1.77 0.83 0.73 of which Government expenditure 0.67 0.80 0.30 0.15 Transfers 0.64 0.20 0.24 0.09 Tax reductions 0.67 0.77 0.29 0.49 Source: Coenen et al (2010).
1. Standard fiscal measures and bank rescue measures
Government support to banking sector
(1) recapitalisation
(2) guarantees on banks' liabilities
(3) purchases of toxic or impaired assets, "bad banks".
Recapitalisations and asset purchases combined amounted to roughly 5% of EU GDP
in total over the crisis.
Liability guarantees were much larger almost 8% at its peak.
Table 2: State aid for financial sector (as % of GDP)