Setting counter-cyclical capital buffers in converging economies

Jan Frait

Executive DirectorFinancial Stability Department

22

Outline

1. Countercyclical capital buffers in Basel III and the standpoint of the Czech National Bank in the EU discussions in this area

2. The CNB analysis focusing on the problems (concerns) when using the suggested credit-to-GDP gap guide for converging economies

3. Possible alternatives for converging economies based on economic fundamentals: the CNB work in progress

3

I. Countercyclical capital buffers – concept

4

Countercyclical capital buffer in Basel III (1)

• countercyclical capital buffer (CCB henceforth) is genuine macroprudential tool

• „optimists“ believe that the CCB could be used for taming a credit boom

• help the authorities to lean against the build-up phase of the cycle by raising the cost of credit, and therefore slowing down its provision, when they conclude that the stock of credit has grown to excessive levels relative to the benchmarks of the past experience

• this potential moderating effect on the build-up phase of the credit cycle should be viewed as a positive side benefit, rather than the primary aim of the CCB regime

5

Countercyclical capital buffer in Basel III (2)

• „pessimists“ presume that the quantitative impact of the CCB during the credit boom will be rather weak

• it should primarily protect the banking sector and general economy from the after-effects of excess aggregate credit growth that have often been associated with the build up of system-wide risk

• What kind of after-effects? …to maintain the flow of credit in the economy when the broader financial system experiences distress after a credit boom (smooth landing)

66

The role of a macroprudential authority regarding CCB

• to monitor credit and its dynamics (and potentially other indicators) and make assessments of whether system-wide risks are being built up

• based on this assessment, to decide whether the CCB requirement should be imposed (set above the zero value)

• to apply judgment to determine whether the CCB should increase or decrease over time (within the range of zero to 2.5% of risk weighted assets, in very strong credit booms even above 2.5%)

• to be prepared to remove the requirement on a timely basis if the system-wide risk crystallizes

77

The view of the Czech National Bank

• when Basel III was discussed, CNB in general • supported the CCB as a useful macroprudential tool as well as

harmonized methodology for setting it across countries • which would – however – allow sufficient flexibility for national

policymakers (reflecting different level of financial intermediation in converging economies and other specificities of individual countries)

• supported the Basel III approach to determine the bank-specific capital buffer (linked to the credit dynamics in the country where the loans were granted)

* EC: Consultation Document – Countercyclical Capital Buffer. 25 October 2010.

8

Implementation of the buffer in CRD IV/CRR

• within consultations of the European commission* (October – November 2010) – especially in the area of application of capital buffer for cross-border banks - the CNB

• supported the Basel III-compatible approach to determine the bank-specific capital buffer (i.e. linked to the credit dynamics in the country where the loan was granted),

• rejected the alternatives approaches suggested by the Commission (determining the buffer according to the jurisdiction of the parent bank or according to the jurisdiction from which the credit is ultimately granted).

* EC: Consultation Document - Countercyclical Capital Buffer. 25 October 2010.

9

June 2011 discussion within the ESRB: countercyclical buffer in CRD IV/CRR

• CNB supported the June 2011 letter by ESRB to European Commission suggesting that in the area of buffers the CRD IV text should

• allow national policymakers to set buffers in excess of 2.5% without reference to exceptional circumstances

• permit the setting of buffers in excess of 2.5% for third country exposures

• allow for national policymakers to voluntary reciprocate when buffers are set in excess of 2.5%

• strengthen the role of ESRB in monitoring and peer-reviewing the buffer setting

• July 2011 publication of the CRD IV/CRR draft to a large extent reflected these suggestions

10

September 2011 discussion within the ESRB: the countercyclical buffer in CRD IV (1)

• however, the July 2011 CRD IV/CRR text does not grant full flexibility to national policymakers

• A „dual“ regime has been suggested• standard countercyclical capital buffer regime (decision on

the buffer rate made quarterly, the indicators used to determine the rate approved by the ESRB, full reciprocity with voluntary reciprocity if buffer rate above 2.5%)

• an additional (structural) buffer regime (reviewed only annually, any indicator/variable could be used by national authorities – not only those approved by ESRB, variables may include also non-cyclical/structural variables, no international reciprocity)

11

September 2011 discussion within the ESRB: the countercyclical buffer in CRD IV (2)

• CNB supports the CRD IV amendment proposals approved by General Board of ESRB in September 2011 to remove the dual regime of the buffer, as

• cyclical instrument is not appropriate to tackle structural (non-cyclical) systemic risk

• characterized by important rigidities (prohibition of reciprocation, only annual review)

• there would be problems with communication of the two types of buffers

• reflected in amendment of Art 126 CRD - modify 126 (3) and to repeal 126 (4)

12

September 2011 discussion within the ESRB: maximum versus minimum harmonization

• in general, the CNB supports the possibility of national policymakers to tighten capital requirements in Pillar 1 (i.e. the CNB supports harmonization of minimum standards and not maximum harmonization) due to macroprudential reasons

• in the September 2011 GB ESRB meeting, the CNB supported

• strengthening of the delegated authority of the Commission (no time limit for tightening periods; broader scope of measures) and underlining the role of ESRB… reflected in proposal for a re-cast of Article 443 CRR and the related Recital

• and – more importantly - providing Member States with the same authority to address systemic risks… reflected in proposal for a new Article 443-bis CRR

13

II. CCB – calibration

1414

The common reference guide: credit-to-GDP gap

• the common reference guide* for setting the CCB is based on the aggregate private sector credit-to-GDP gap

• a gap between currently observed value and the calculated long-term trend of private sector credit to GDP

• for calculation of the long-term trend, the Basel committee suggests using the Hodrick-Prescott filter with a high smoothing parameter

• buffer set as a function of the credit-to-GDP gap

Countercyclical capital buffer(% of RWA as a function of credit-to-GDP gap in pps)

-1.4-1.3-1.2-1.1

-1-0.9-0.8-0.7-0.6-0.5-0.4-0.3-0.2-0.1

00.10.2

0

0.5

1

1.5

2

2.5

3

3.5

4

-4 -2 0 2 4 6 8 10 12 14

Credit-to-GDP gap (in %)

* BCBS: Guidance for national authorities operating the countercyclical capital buffer. BIS, December 2010, pp. 4 and 8.

1515

CNB work on countercyclical capital buffers

• the CNB is focusing on the issue of how to calibrate the CCB in converging economies

• Financial Stability Report 2010/2011* responds to question “how the CCB would have been set if the regime had been existing before crisis?“ through the analysis of ten CEE countries in the period of strong credit growth 2003-2007

• conclusion: basic methodology recommended by Basel Committee for setting the CCB rate (credit-to-GDP gap calculated according to the purely statistical method of Hodrick-Prescott filter) is not appropriate for converging economies like the Czech Republic

• it is surely not appropriate for advanced countries previously experiencing lasting credit boom either!

* Geršl, Adam – Seidler, Jakub: Excessive credit growth as an indicator of financial (in)stability and its use in macroprudential policy. Thematic article, FSR 2010/2011, CNB.

16

CEE converging countries and calculation of credit-to-GDP gap

1. short time-series (Basel recommends 20 years of quarterly data)2. fast credit growth is incorporated in the trend (convergence in

credit to GDP - initial low level of financial intermediation and catching up process)

Development of credit to GDP ratio in CEE countries(%)

Source: IMF IFS, CNB calculations

0

20

40

60

80

100

120

140

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Hungary Poland Romania

Slovenia Euro area

Development of credit to GDP ratio in CEE countries(%)

Source: IMF IFS, CNB calculations

0

20

40

60

80

100

120

140

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009

Bulgaria Estonia Latvia Lithuania Euro area

17

CEE countries and buffer calculation – what makes things complex

3. banking sector restructuring (bad assets in the 1990s – especially CZ and SK, bank privatizations)

4. changes in the composition of credit to the private sector (increasing share of loans to households)

5. end-point bias of HP filter as an obstacle to practical conduct of macroprudential policy

Development of credit to GDP ratio in CEE countries(%)

Source: IMF IFS, authors' calculations

0

10

20

30

40

50

60

70

80

1998Q1 1999Q3 2001Q1 2002Q3 2004Q1 2005Q3 2007Q1 2008Q3

Czech Republic Slovak Republic

Stock of bank credit to the real sector in the Czech Republic(in CZK bil)

Source: Czech National Bank

0

200

400

600

800

1000

1200

1400

1600

1800

2000

93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10

Non-financial corporations Households

18

Some background data on leveraging and deleveraging

Year-over-year growth rates of a bank loans in the Czech Republic (2001–2011, in %)

Source: CNB

-40

-30

-20

-10

0

10

20

30

40

50

1/01 1/02 1/03 1/04 1/05 1/06 1/07 1/08 1/09 1/10 1/11Total loans

Non-f inancial corporations

Households

Bank loans to the private sector in the Czech Republic (2000–2011, CZK billions)

Source: CNB

-200

200

600

1000

1400

1800

2200

I.00 I.02 I.04 I.06 I.08 I.10

Total loans Nonfinancial corporat ions Households

19

Deleveraging and buffer calculation

Credit and its quality in the Czech Republic (1993–2010, in %)

Source: CNBNote: Credit growth is year-over-year increase in total bank credit, % NPL is the share of nonperforming loans on total bank credit. Data from the beginning of 1990s are based on authors' estimates.

-15

-10

-5

0

5

10

15

20

25

30

35

I/93 I/96 I/99 I/02 I/05 I/08

3 0

3 5

4 0

4 5

5 0

5 5

6 0

6 5

7 0

Credit growth %NPL Credit-to-GDP (rhs)

Sectoral structure of credit in the Czech Republic (1993–2011, in %)

0

20

40

60

80

100

01/93 01/96 01/99 01/02 01/05 01/08 01/11

Non-f inancial corporates Households

Tradesmen Other financials

Government

Source: CNB

20

Deleveraging and buffer calculation

• Růst úvěrů do privátního sektoru v eurozóně i po 2008 vs. s výrazné poklesy ve Velké Británii nebo USA.

Úvěry privátnímu sektoru v eurozóně, USA a V. Británii(leden 2002 = 100)

Pramen: ECBPozn.: pro EA a UK použita shodná metodika ECB

90

110

130

150

170

190

210

I.02 I.04 I.06 I.08 I.10

EA UK USA

21

Application of the guide to the Czech Republic

• using HP filter with recommended lambda would indicate excess credit growth (even since 2003 if estimated „continuously“)

• holds even if other reasonable denominators are used (assets)

Bank credit to the real sector in relative terms(%)

Source: CNB, CZSO

0

10

20

30

40

50

60

70

1996 1998 2000 2002 2004 2006 2008 2010Credit-to-GDPCredit-to-financial-assetsCredit-to-assets

Credit gaps in the Czech Republic with alternative denominators(%)

Source: CNB, authors' calculations

-15

-10

-5

0

5

10

15

20

03/98 03/00 03/02 03/04 03/06 03/08 03/10

Credit-to-GDP gap

Credit-to-GDP gap (actual period estimation)

Credit-to-financial-assets gap

Credit-to-assets gap

22

Application of the guide to the Czech Republic

• when estimated in credit growth phase only (2004-2008), HP filter captures only short-term deviations

Credit-to-GDP and its trend (HP filter on data starting in 2004)(%)

Source: IMF IFS, CNB calculations

30

35

40

45

50

55

60

06/04 06/05 06/06 06/07 06/08 06/09

Estimated HP trend Credit-to-GDP

2323

Historical comparison does not reveal excessive credit in the Czech Republic (1)

• Czech Republic has lower level of credit to GDP than selected core EU countries when at similar level of economic development (in the 1980s)

• other features of credit growth in the Czech Republic also do not indicate the build up of system-wide risk (no FX loans to households; no external funding; high deposit-to-loan ratio; low LTV ratios)

• contrasts with e.g. Latvia that had comparatively much higher stock of credit in 2008, several „dangerous“ features of credit boom and lower level of GDP per capita

Credit to GDP for similar level of economic development(GDP per capita in 2005 USD = 17 ths USD; in %)

Source: IMF IFS, CNB calculations

0

10

20

30

40

50

60

70

80

90

100

CZ(2009)

IT(1986)

NL(1984)

AT(1984)

FR(1985)

ES(1990)

DE(1983)

Credit to GDP for similar level of economic development(GDP per capita in 2005 USD = 14 ths USD; in %)

Source: IMF IFS, CNB calculations

0

10

20

30

40

50

60

70

80

90

100

Latvia(2008)

IT (1984) ES (1988) AT (1985) DE (1985)

2424

Historical comparison does not reveal excessive credit in the Czech Republic (2)

• ....

Credit-to-GDP ratios for a similar level of economic development

Source: IMF IFS, WB WDI, authors' calculations

(in %; GDP per capita, in PPP constant 2005 international $; approximately 22, 500 for the Czech Rep as of 2010)

0

10

20

30

40

50

60

70

80

90

100

Czech Republic(2010)

Italy(1988)

Netherlands(1984)

Austria(1985)

France(1987)

Spain(1997)

Germany(1985)

25

III. CCB – the way forward

26

The discretion of policymakers is anchored in Basel III

• credit-to-GDP ratio should serve only as a guide*• rather than relying mechanistically on the credit/GDP guide,

authorities are expected to apply judgment in the setting of the buffer in their jurisdiction after using the best information available to gauge the build-up of system-wide risk

• in addition, the calculated long-term trend of the credit/GDP ratio is a purely statistical measure that does not capture turning points well*

• therefore, authorities should form their own judgments about the sustainable level of credit in the economy; they should use the calculated long-term trend simply as a starting point in their analysis

* BCBS: Guidance for national authorities operating the countercyclical capital buffer. BIS, December 2010, pp. 4 and 8.

27

The alternative to HP filter: fundamental „out-of-sample“ method leads to different credit-to-GDP gaps and different potential buffers

• a way how to form judgment about the sustainable level of credit in the economy: • regressing the credit to GDP on a range of economic fundamentals (GDP per capita;

households consumption; inflation,FX loans to households; external funding; deposit-to-loan ratio; LTV ratios etc.), using data for developed countries

• applying the estimated elasticities „out of sample“, i.e. on CEE countries to calculate „equilibrium credit“

• in contrast to HP filter, the fundamental out-of-sample method takes into account the economic fundamentals influencing the level of credit in the economy

• the HP filter would not define some countries as in a situation of excess credit growth while fundamental method would (figures below in the table are calculated for 3Q 2008, i.e. just before the CEE countries were hit by the global financial crisis)

HP filter Out-of-sample HP filter Out-of-sampleBG 11.4 10.8 2.5 2.5CZ 9.5 -15.0 2.4 0.0EE 5.3 27.9 1.0 2.5LT 6.9 -8.3 1.5 0.0LV 1.0 19.6 0.0 2.5HU -1.4 -10.7 0.0 0.0PL 3.0 -23.3 0.3 0.0RO 6.1 -27.3 1.3 0.0SK 6.1 -22.8 1.3 0.0SI 5.4 5.5 1.1 1.1Source: authors' calculations

Credit-to-GDP gap (%)Countercyclical capital buffer

(% of RWA)

28

Results of the „out-of-sample“ method in comparison to HP filter

Czech Republic

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%

2000q1 2002q1 2004q1 2006q1 2008q1

HPgap OUTgap

Estonia

-30%

-20%

-10%

0%

10%

20%

30%

40%

50%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

Latvia

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

30%

40%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

29

Results of the „out-of-sample“ method in comparison to HP filter

Slovenia

-30%

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%

2000q1 2002q1 2004q1 2006q1 2008q1 2010q1

HPgap OUTgap

Slovakia

-30%

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%

2000q1 2002q1 2004q1 2006q1 2008q1

HPgap OUTgap

Poland

-35%

-30%

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

30

Results: comparison of HP and out-of-sample methods

Bulgaria

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

Hungary

-35%

-30%

-25%

-20%

-15%

-10%

-5%

0%

5%

10%

15%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

Lithuania

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

2000q1 2001q4 2003q3 2005q2 2007q1 2008q4

HPgap OUTgap

Romania

-60%

-50%

-40%

-30%

-20%

-10%

0%

10%

2000q1 2002q1 2004q1 2006q1 2008q1 2010q1

HPgap OUTgap

31

Countries above equilibrium credit

• it seems that for CEE countries, the out-of-sample method better predicts the problem countries

• empirical evidence shows that the four countries identified as being above equilibrium credit (LV, BG, EE, SI) and the two close to the border (HU and LT) did not show particularly high Tier 1 capital ratios before crisis in 2008 (except Bulgaria) and some of them experienced relatively high drop in RoE of banks

Credit-to-GDP gap via out-of-sample and Tier 1 ratio in 2008(gap in pps; Tier 1 capital ratio in 2008)

Source: IMF, authors' calculations

EESI

BGCZ

LT

LV

HU

PL

RO

SK

6

7

8

9

10

11

12

13

-40.0 -20.0 0.0 20.0 40.0

Credit-to-GDP gap via out-of-sample and change in RoE(gap in pps; change in RoE of banking sector in pps)

Source: IMF, authors' calculations

EE

SIBG

CZ

LT

LV

HUPLRO

SK

-70

-60

-50

-40

-30

-20

-10

0

10

-40.0 -20.0 0.0 20.0 40.0

32

Further developments

• to be fair, the out-of-sample method also has a number of drawbacks

• fundamental variables selection (housing prices seem to be a relevant variable, but can themselves suffer from bubbles)

• selection of advanced (sample) countries • different fundamentals in advanced (sample) countries versus

CEE countries at the current stage of development• estimation method suffers by losing country-specific constant

• the methodology is being developed further and made more robust to be more appropriate for practical implementation

• other methods and indicators are being tested as to their signaling properties for a built-up of systemic risk in converging economies

• the indicators for deciding on policy reversals are needed too

33

Policy approach – consistency vs. discretion

• The key issue is setting the long-term equilibrium trend(s)

clearly below

clearly above

time

Credit-to-GDP

?more indicators and judgment required

more optimistic equilibrium trajectory

less optimistic equilibrium trajectory

3434

Countercyclical capital buffers – the example of policy

• Credit-to-GDP cannot be a sole driver of countercyclical capital buffers setting – it is a lagging slow-motion variable staying above the historical norms during the initial stages of crisis.

• The indicators of credit cycle dynamics and other are therefore needed to guide the shifts in setting (credit growth, lending conditions, spreads etc.)

period of financial exuberance

time

Credit-to-GDP over financial cycle

turning point (start of crisis): credit-to-GDP still very high, but policy has to change sharply

period of financial distress

long-term „normal“ level of credit-to GDP

period of financial exuberance

time

Credit dynamics (e.g. y-o-y growth)

period of financial distress

turning point (start of crisis): credit growth falls, lending conditions tighten

CCB set to zero

CCB set to zero again

CCB set at maximum 2,5 %

3535

Conclusions

• flexibility embedded in the Basel III countercyclical capital buffer regime is a desirable element

• should be kept to a large extent in the EU regulation (CRD IV/CRR), the ESRB should keep the coordination and ex post monitoring role

• CEE converging countries are exactly the ones where detrending by HP filter can not work well in calibrating the buffer

• macroprudential research in CEE countries has to identify set of fundamental factors that could provide solid guidance for setting this instrument and using it in efficient way

Thank you for the attention

www.cnb.cz

Jan FraitHead of Financial Stability Department

Jan.Frait@cnb.cz

Contact to the Financial Stability Department: E-mail: financial.stability@cnb.cz

http://www.cnb.cz/en/financni_stability/

37

Some background data on leveraging and deleveraging

• Eurozóna - navzdory slabému růstu úvěrů zůstává celková úroveň aktiv MFI, celkových úvěrů i úvěrů do privátního sektoru na vysoké předkrizové úrovni.

Aktiva bankovního sektoru (MFI) v eurozóně(mld. eur, říjen 2001 - srpen 2011)

Pramen: ECB

3000

9000

15000

21000

27000

33000

X.0

1

X.0

2

X.0

3

X.0

4

X.0

5

X.0

6

X.0

7

X.0

8

X.0

9

X.1

0

Bilance MFI EA Úvěry MFI EA

Úvěry MFI priv. nefin. sektoru

38

Some background data on leveraging and deleveraging

Aktiva bank a úvěry do privátního sektoru k HDP v mezinárodním srovnání

(v % HDP)

Pramen: ECB, Datastream, Eurostat

0

100

200

300

400

500

600

700

800

900

ROUS SK PL LV BGCZ HU SI LT GR IT SE FI BE PT DE ES AT EA NL FR DK UK IE

aktiva MFIs/HDP úvěr do privátního sektoru/HDP

39

Some background data on leveraging and deleveraging

• Výše bankovních aktiv v řadě evropských zemích narostla do relativně velmi vysokých úrovní … i při zohlednění specifických faktorů (např. Irsko, Dánsko, UK) a rozdílů v příjmech na hlavu

Aktiva bank na hlavu v mezinárodním srovnání(tis. eur)

Pramen: ECB, Datastream

0

50

100

150

200

250

300

350

RO BG LV PL SK LT HU CZ SI US GR PT IT ES EA DE FI BE SE AT FR NL UK DK IE

40

Úvěry do privátního sektoru v mezinárodním srovnání(tis. eur)

Pramen: ECB, Datastream

0

10

20

30

40

50

60

70

80

90

100

RO BG PL LV SK HU LT CZ SI US GR PT BE IT DE FI FR EA ES AT UK SE IE NL DK

Some background data on leveraging and deleveraging

• … a stejně tak rozsah úvěrů do privátního sektoru

41

Some background data on leveraging and deleveraging

Pokles leverage (aktiva jako násobek kapitálu) 20 největších evropských bank

(mezi 2Q 2008 a 2Q 2011; v %)

Pramen: Bankscope, ECB

0

5

10

15

20

25

30

35

1.-5.banka 6.-10.banka 11.-15.banka 16.-20.banka všech 20 bank všechnybanky EA

Vývoj celkových aktiv, kapitálu a leverage úvěrových institucí eurozóny

(bazický index, 3Q 1997 = 100)

Pramen: ECB

0

50

100

150

200

250

300

350

09/97 09/99 09/01 09/03 09/05 09/07 09/09

Aktiva Kapitál Leverage

pád Lehman Brothers

• … the pattern and speed of deleveraging vary across the major economies, but it is clear that deleveraging has only just began (McKinsey Institute, Debt and Deleveraging – update, June 2011)

42

Some background data on leveraging and deleveraging

43

Some background data on leveraging and deleveraging

• Češi si rekordně půjčují na bydlení: Lidé si na hypotékách letos půjčili už tolik jako za celý loňský rok (Hospodářské noviny, 20.10.2011)

Nové korunové úvěry na bydlení

(v %)

Pramen ČNB

11,8%

3,8%

-40

-20

0

20

40

3/08 9/08 3/09 9/09 3/10 9/10 3/11 9/11

3,0

3,5

4,0

4,5

5,0

5,5

6,0

6,5

Meziroční změna objemu úvěrů

Úroková sazba (pravá osa)

Meziroční růst úvěrů obyvatelstvu

(v %)

Pramen: ČNB

4,8%

-1,2%

5,8%

-1,3%-5

0

5

10

15

20

25

30

35

40

3/08 9/08 3/09 9/09 3/10 9/10 3/11 9/11

Obyvatelstvo celkem

Spotřebitelské úvěry

Úvěry na bydlení

Spotřebitelské úvěry (po úpravě o jednorázový převod)

44

Some background data on leveraging and deleveraging

• Na růstu „hypoték“ se podílí ve významné míře refinancování u jiných bank a substituce bankovních úvěrů a úvěrů stavebních spořitelen (viz prezentace sekce dohledu na minulém panelu)

Toky úvěrů na bydlení obyvatelstvu (mil. Kč)

Pramen: Arad

0

10 000

20 000

30 000

40 000

50 000

60 000

VI.05 VI.06 VI.07 VI.08 VI.09 VI.10 VI.11

Nové úvěry Změna stavu Odliv

45

Some background data on leveraging and deleveraging

• Klouzavé průměry toků a změn stavů indikují, že úvěrový boom se nejspíše nekoná

Vývoj nových úvěrů vs. změny stavu úvěrů na bydlení domácnostem

(mld. Kč, měsíční data, 12M nebo 3M klouzavý průměr)

Pramen: Arad

0

2

4

6

8

10

12

14

16

18

20

XII.04 XII.05 XII.06 XII.07 XII.08 XII.09 XII.10

měsíční nové úvěry (12M MA)

mzm. změna stavu úvěrů (12M MA)

0

2

4

6

8

10

12

14

16

18

20

1 5 9 13 17 21 25 29 33 37 41 45 49 53 57 61 65 69 73 77 81

měsíční nové úvěry SA (3M MA)

mzm. změna stavu úvěrů SA (3M MA)

46

References

• BANK OF ENGLAND (2009): The Role of Macroprudential Policy. Discussion Paper, November 2009. • BORIO C., FURFINE C. AND LOWE, P. (2001): Procyclicality of the financial system and financial stability:

issues and policy options”, in “Marrying the macro- and microprudential dimensions of financial stability”, BIS Papers, No. 1, March, pp. 1–57

• BORIO, C – SHIM, I. (2007): “What can (macro)-prudential policy do to support monetary policy. BIS Working Papers, no 242, December.

• BORIO, C. - P. LOWE, P. (2001): To provision or not to provision. BIS Quarterly Review, September 2001, pp. 36-48.

• BORIO, C. - WHITE, W. (2004): Whither monetary and financial stability? The implications of evolving policy regimes. BIS Working Paper, No. 147, February 2004.

• BORIO, C. (2003): Towards a macroprudential framework for financial supervision and regulation? BIS Working Paper, No. 128, February 2003. http://www.bis.org/publ/work128.pdf.

• BORIO, C. (2009), Implementing the macro-prudential approach to financial regulation and supervision, Banque de France Financial Stability Review, No. 13 — The Future of Financial Regulation, September 2009.

• BORIO, C.-DREHMANN, M. (2009), Towards an operational framework for financial stability: fuzzy measurement and its consequences. BIS Working Paper, No. 284, June 2009.

• CLEMENT, P. (2010): The term “macroprudential”: origins and evolution. BIS Quarterly Review, March 2010, pp. 59-67

• FRAIT, J., KOMÁRKOVÁ, Z. (2009): Instruments for curbing fluctuations in lending over the business cycle. Financial Stability Report 2008/2009, Czech National Bank, pp. 72-81.

• Frait, J., Komárek, Komárková, Z. (2011): Monetary Policy in a Small Economy after the Tsunami: A New Consensus on the Horizon? Czech Journal of Economics and Finance 61, No. 1, pp. 5-33.

47

References

• Frait, J., Komárková, Z. (2011): Financial stability, systemic risk and macroprudential policy. Financial Stability Report 2010/2011, Czech National Bank, pp. 96-111; ISBN 978-80-87225-34-9

• Frait, Jan; Gersl, Adam; Seidler, Jakub; Credit growth and financial stability in the Czech Republic. World Bank Policy Research Working Paper; no. WPS 5771 2011/08/01 August 2011

• WHITE, W. (2006): Procyclicality in the financial system: do we need a new macrofinancial stabilisation framework?, BIS Working Papers, no 193, January.