The Effects of Bank Rescue Measures in the recent Financial Crisis



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5. Simulations
First, we give a combination of shocks to the model that generate a recession scenario with a similar sharp contraction as observed in the data. This is a highly stylised scenario that captures the collapse in house prices and the financial crunch that followed, and leads to a contraction in output that is particularly severe in corporate and housing investment. 10

First, a shock to house price risk premia is simulated to capture the collapse in house prices after the bursting of the bubble. Second, a shock is given to defaults on matured loans to household debtors DEF . Estimates for the EU suggest total losses amounted to EUR 500bn so far, or around 4% of EU GDP. Cumulated losses in the RoW sum to about EUR 900bn, with most of the losses concentrated in the US (Commission Services, Bloomberg/ECFIN). As discussed in the introduction, losses of this magnitude by itself are not able to explain the large drop in economic activity that we observed in 2009, even in models which allow for balance sheet constraints in financial markets. We therefore follow Caballero and assume that increased uncertainty in financial markets must have exerted an additional negative effect. We therefore introduce a ´panic´ shock which essentially makes banks believe that (individual) bank losses would be about 2.5 times the actually realised losses. This magnitude is necessary in order to approximately match the decline in stock prices of banks. Modelling a panic is conceptually more difficult than modelling loan losses, since it means to look at the impacts of negative shocks (expected loan losses) which might not materialise. To make this computationally tractable we assume that financial markets expect much large losses in the medium term. To capture the tightening in lending conditions, a further shock is given to the loan-to-value ratio for household debt χc.



The combination of these shocks, without any government intervention, leads to a sharp contraction in output in the model, of around 8% in level terms (Table 4). This crisis scenario is characterised by a sharp decline in corporate investment and residential investment. Note that there is also a strong increase in the risk premium and a collapse in the valuation of banks.
Table 4: Crisis scenario : no government intervention





2008

2009

2010

2011

2012

2020






















GDP

-2.3

-8.17

-6.89

-3.9

-3.04

-4.89

Consumption

-1.91

-4.9

-4.44

-3.18

-3.28

-6.18

Corp. investment

-12.96

-48.82

-38.21

-15.39

-4.93

-2.55

Res. Investment

-3.22

-9.12

-9.54

-10.03

-10.45

-9.53

Real wages

-0.76

-4.23

-5.05

-3.74

-2.28

-0.23

Employment

-1.85

-6.8

-5.15

-2.17

-1.35

-3.71

Value of banks

-34.88

-61.62

-39.3

-21.28

-14.45

-12.09

Real interest rate (5y) (bps)

286.32

378.88

312.9

77.6

7.1

-17.78

Labour income tax (pp)

0.19

1.55

2.67

3.15

3.47

7.25

Gov. debt (% of GDP)

2.12

10.76

13.36

12.3

12.33

22.15

Note: % deviations from baseline values, or basispoints (bps).



Conventional fiscal stimulus measures
To assess the effectiveness of bank support measures we want to compare these with conventional fiscal stimulus measures as they were implemented during the crisis. On average in the EU, the fiscal stimulus in 2009 amounted to slightly more than 1% of GDP and slightly less than 1% in 2010 and the measures consisted mainly of increases in direct government spending, and income support in the form of transfers to households and temporary tax reductions (see table 1).

Table 5 shows the multipliers of standardised shocks to government consumption, transfers and labour taxes, each of 1% of GDP. In the economic literature, government consumption shocks receive by far the most attention, but GDP effects are typically much smaller for shocks to transfers to households and direct taxes. 11 The increase in government consumption boosts GDP, as it enters directly the GDP definition. Government transfers to households and tax reductions support consumer spending indirectly. Permanent income households respond to the temporary nature of the stimulus largely by adjusting their saving behaviour, as they base their consumption decisions on lifetime wealth. Only the credit constrained households respond more strongly to the temporary increase in disposable incomes. Hence, temporary increases in transfers and reductions in labour taxes show overall smaller multipliers, but in these two cases it is nearly entirely generated by higher spending of the private sector. 12


Table 5 Fiscal multipliers of conventional stimulus measures






EU



Without collateral constraints.


With collateral constraints

.


With collateral constraints

and monetary accommo-dation



government purchases

0.78

0.81

1.03

general transfers

0.20

0.41

0.53

transfers targetted to collateral-constrained hh.

-

0.67

0.86

labour tax

0.22

0.44

0.55

Source: Roeger and in 't Veld (2010)

Asset purchases
Table 6 shows the effects of Impaired Assets Relief measures on GDP and other main macroeconomic aggregates. Governments buy assets ( a share of loans) from banks and as a consequence will also take over a share of losses associated with these loans. The macroeconomic impact of these purchases depends crucially on the toxicity of the loans taken over. These measures are financed by a gradual increase in distortionary taxes (in particular labour taxes). As discussed above, because of current and expected loan losses of the corporate banking sector, an equilibrium in a segmented capital market requires a strong increase in the equity premium. By partially taking over bank losses, the government can effectively smoothen the dividend stream of corporate banks and therefore alleviate the conflict between shareholders and corporations and provide more consumption smoothing and consequently a smaller increase in the equity premium. As can be seen from Table 6, partialy taking over impaired assets reduces the equity premium and increases corporate investment substantially, thus it targets a demand component which responds strongly to the increase in the equity premium in a segmented capital market. In contrast to standard fiscal measures, which tend to crowd out private investment, these state aid measures support corporate investment and thereby target a macroeconomic aggregate most severely affected by the finnacial crisis. Notice also, the state aid do only marginally support residential investment. The reasons are twofold. First, banks only marginally pass on state aid measures to lower loan interest rates (measures are mostly used to stabilise dividends) and second the reduction in residential investment is to a large extent the response of a bubble induced correction of an overaccumulation of housing stock due to the housing bubble. In terms of effectiveness, the fiscal multiplier of state support in the form of asset purchases is positive but well below one. Total asset purchases amounting to roughly 2.8% of GDP boost GDP by around 1%. 13

Table 6: Government intervention: asset purchases





2008

2009

2010

2011

2012

2020






















GDP

0.27

0.97

0.43

-0.36

-0.31

0.03

Consumption

0.26

0.6

0.31

-0.19

-0.14

0.15

Corp. investment

2.44

12.29

5.83

-1.16

-1.33

-0.23

Res. Investment

0.06

0.11

0.11

-0.01

-0.09

0.05

Real wages

0.11

0.68

0.81

0.46

0.19

0.04

Employment

0.21

0.73

0.16

-0.53

-0.47

-0.02

Value of banks

8.9

11.47

2.38

-1.17

-0.54

0.22

Real interest rate (5y) (bps)

-38.33

-63.06

-36.64

12.05

9.7

1.3

Labour income tax (pp)

-0.02

0.56

0.86

0.7

0.55

0.01

Gov. debt (% of GDP)

-0.24

1.35

2.69

2.55

1.89

-0.35

Note: % difference from no-intervention


Recapitalisations
Government recapitalisation measures have similar effects compared to asset purchases (Table 7). By purchasing newly-issued bank shares the government contributes to stabilising the income of shareholders, which dampens the increase in the equity premium. We assume government holdings of bank equity peak in 2011 (2.2% of GDP) and is then gradually reduced so that by the end of 2014 governments have sold about 50% of their holdings. As with purchases of impaired assets, this policy mostly affects investment and has therefore similar properties: the measures lead to a sharp drop in the equity premium and give a sizeable stimulus to investment. In terms of effectiveness, a "stimulus" in the form of recapitalisations of around 2.2 % of GDP at its peak, give a positive GDP effect of 1.7%.

The two state-aid measures differ in two respects. The government asset purchases are stricty proportional to the losses, while the recapitalisation measure is not strictly linked to the path of loan losses. However, and more importantly, both measures have different distributional consequences. The fiscal costs of asset purchases will be shared equally across all household types, while the purchase of bank stock and the subsequent sale shifts the burden of the fiscal costs more onto equity owners and increases the equity premium and reduces investment.



Table 7: Government intervention: recapitalisations





2008

2009

2010

2011

2012

2020






















GDP

0.49

1.7

0.45

-0.13

-0.08

0.24

Consumption

0.33

1.01

0.4

0.05

0.13

0.31

Corp. investment

3.33

14.23

3.01

-1.79

-1.99

-0.01

Res. Investment

0.19

0.9

1.03

0.78

0.67

0.12

Real wages

0.13

0.66

0.61

0.25

0.03

-0.09

Employment

0.4

1.38

0.27

-0.28

-0.2

0.24

Value of banks

1.64

3.49

0.56

-0.53

-0.42

0.11

Real interest rate (5y) (bps)

-60.76

-89.58

-20.01

12.31

11.52

2.42

Labour income tax (pp)

-0.03

0.1

0.17

0.13

0.03

-0.4

Gov. debt (% of GDP)

-0.41

-0.79

0.31

0.57

0.18

-1.34

Note: % difference from no-intervention




Government guarantees:
Guarantees differ from recapitalisations and purchases of toxic assets in two important dimensions:

1. In contrast to recapitalisations and asset purchases, which are associated with actual government spending, guarantees only constitute contingent liabilities for the government which arise in case banks default on bonds issued.

2. While recapitalisations and asset purchases helped the financial sector in dealing with losses from loans given in the past, guarantees have largely been given on newly issued bonds (see the report by DG COMP), thus the government insures the lender to take over losses from new investments.

Apart from the insurance function provided by guarantees, the fact that governments are signalling to cover possible future losses may by itself have important implications in terms of stabilising financial markets. For example, reducing uncertainty about future losses could change behaviour of potential lenders in financial markets, i. e. making them less risk averse. However, these confidence effects are difficult to model and results will largely depend on assumptions about risk attitudes of financial market participants. We restrict ourselves to analysing the effect of government guarantees in a segmented financial market. Essentially the value added of government guarantees in such an environment consists of redistributing losses from a fraction of households (shareholders, households owning risky assets) to all households (and thereby effectively removing the market segmentation). This has a macroeconomic benefit in terms of reducing the increase of the bond rate, but it has also costs because the government support has to be financed by distortionary taxes.

In order to illustrate the costs and benefits we look at the following scenario. Given that EU governments have guaranteed bonds in the order of magnitude of 8% of GDP, we create a default scenario where the financial sector expects loan losses to accumulate to 8% of GDP and we compare two extreme cases. In the first case, no government guarantees are given, while in the second case, the government guarantees to take over all future losses.

Table 8 presents the results from the first scenario as a deviation from a no-default shock baseline. Table 9 shows the second case with government guarantees. As can be seen from these tables, the government guarantees can prevent economic activity from collapsing in the first two years. While the default scenario shows strong falls in consumption and investment due to a sharp increase in borrowing costs, with government guarantees the increase in rates can be avoided and domestic demand stabilised. However, these guarantees also have negative effects as higher labour taxes have a negative impact on employment and corporate investment in the medium term.



Table 8: Default scenario









2009

2010

2011

2012

2020






















GDP




-6.93

-3.46

-0.68

-0.84

-1.2

Consumption




-6.25

-2.93

-0.73

-1.09

-1.5

Corp. investment




-31.56

-15.96

-1.8

-0.61

-1.26

Res. Investment




-2.16

-2.27

-1.16

-0.98

-0.78

Real wages




-1.83

-2.58

-1.34

-0.58

-0.32

Employment




-5.55

-2.73

-0.01

-0.14

-0.62

Value of banks




-31.31

-8.28

-1.18

-1.43

-1.61

Real interest rate (5y) (bps)




503.62

144.2

-22.74

-5.69

2.38

Labour income tax (pp)




0.71

1.38

1.29

1.23

1.53

Gov. debt (% of GDP)




6.95

6.6

4.25

3.99

4.1

Note: % difference from no-defaults baseline



Table 9.: Defaults with government guarantees








2009

2010

2011

2012

2020






















GDP




-0.35

-0.7

-0.8

-0.82

-0.7

Consumption




-0.46

-0.85

-0.94

-0.96

-0.85

Corp. investment




-0.5

-1.11

-1.34

-1.36

-0.97

Res. Investment




-0.2

-0.53

-0.6

-0.58

-0.37

Real wages




0.14

0.3

0.33

0.29

0.01

Employment




-0.37

-0.73

-0.83

-0.83

-0.56

Value of banks




-0.81

-0.97

-1.02

-1.02

-0.9

Real interest rate (5y) (bps)




-4.07

0.32

2.14

2.33

1.98

Labour income tax (pp)




1.01

1.97

2.05

1.99

1.35

Gov. debt (% of GDP)




3.56

6.83

6.96

6.54

3.01

Note: % deviation from no default baseline




6. Conclusions
This paper has assessed the cost and benefits of state aid to the financial system in an economy which is hit by a severe financial shock and is subject to financial market imperfections (balance sheet constraints, segmentation and panic). Our analysis has shown that state interventions to support banks are an efficient means of stabilising the real economy. Multipliers are lower than those for government consumption, but generally larger than those for transfers to households. State support to the banking sector has helped to stabilise corporate investment, which is the component of aggregate demand most severely affected from the financial shock when there are financial frictions (bearing in mind that the decline in residential investment has been largely due to the bursting of a housing bubble). This feature also distinguishes state aid from conventional fiscal interventions (like an increase in government spending or transfers), which primarily target non-investment demand categories and rather crowd out private capital formation.

Financial crises are likely to be driven by many shocks and many distortions. We have tried in this paper to account for this by introducing various frictions which are discussed in the literature. While asset purchases and recapitalisations are effective in the case of actual losses, government guarantees play an important role in stabilising pessimistic financial markets driven by excessively strong loss expectations.




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Technical Appendix: Providing guarantees on bank debt.

In the QUEST model there is only an aggregate banking sector; interbank lending and borrowing is not modelled. This appendix tries to show that as long as the total banking sector is owned by a single shareholder, government guarantees on bank debt (interbank borrowing) are implicitly a guarantee from the government to bank shareholders to take over a fraction of total loan losses.


Balance sheets of a disaggregated banking sector

In order to simplify the interbank market we assume that there are investment banks which lend to the non-financial sector and they borrow from savings banks which borrow from households (i.e. interbank relationships are unidirectional).


Investment bank:

The investment bank gives loans (L) to the non-financial sector and borrows in the form of deposits (DI) and interbank loans (LIB). It faces a loan risk defHH and passes on some of this risk to the interbank lenders (defIB).


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