Jens Lunde Associate Professor Department of Finance, Copenhagen Business School

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Owner-occupiers risks and foreclosures - over three downturns at the Danish housing market since 1979 the ERES Conference, Edinburgh, June 13-16, 2012. Jens Lunde Associate Professor Department of Finance, Copenhagen Business School

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Owner-occupiers risks and foreclosures - over three downturns at the Danish housing market since 1979 the ERES Conference, Edinburgh, June 13-16, 2012 . Jens Lunde Associate Professor Department of Finance, Copenhagen Business School. Access to raise a mortgage for owner-occupiers. - PowerPoint PPT Presentation

Transcript of Jens Lunde Associate Professor Department of Finance, Copenhagen Business School

Page 1: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Owner-occupiers risks and foreclosures - over three downturns at the Danish housing market

since 1979the ERES Conference, Edinburgh, June 13-16, 2012.

Jens LundeAssociate Professor

Department of Finance, Copenhagen Business School

Page 2: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Access to raise a mortgage for owner-occupiers

Overview: • The mortgage bank estimate the property’s market value,

at sale normally the price.• Loan-to-value: 80 % (the same for most other property

types).• Max term: 30 years (except: if < 70 % LTV, then no max)• Equity withdrawal possible.• Different loan types: fixed interest rate annuity mortgage

(FRM), adjustable interest rate mortgage (ARM), ARM with cap, interest only mortgages (interest only period max 10 years).

Page 3: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

”Denmark: world champion in household debt” (Muellbauer, 2007)

Gross household debt in per cent of disposable incomes. 1995, 2000 and 2009. Source: OECD.

Italy

German

yFra

nce

Finlan

d

United St

ates

Japan

Sp

ain

Canad

a

Swed

en

United Kingd

om

Australia

Czech Rep

ublic

Norway

Irelan

d

Netherl

ands

Denmark

0

50

100

150

200

250

300

350

400

199520002009

Page 4: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

… the central bank’s response(Monetary Review, 4. quarter 2011)

Page 5: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The 20 % of the owner-occupiers with highest mortgage debt

Owner-occupiers (exclusive self-employed) divided into deciles after age and after size of mortgage debt in percent of gross family income, 8th decile, 1987-2009.

19871988

19891990

19911992

19931994

19951996

19971998

19992000

20012002

20032004

20052006

20072008

20090

50

100

150

200

250

300

350

< 30 years30-39 years40-49 years50-59 years60-69 years70 years and aboveAll

Page 6: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Also higher mortgage debt at the median ratiosOwner-occupiers (exclusive self-employed) divided into deciles after age and after size of

mortgage debt in percent of gross family income, 5th decile, 1987-2009.

19871988

19891990

19911992

19931994

19951996

19971998

19992000

20012002

20032004

20052006

20072008

20090

50

100

150

200

250

< 30 years30-39 years40-49 years50-59 years60-69 years70 years and aboveAll

Page 7: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Owner-occupiers’ risk

• Risk for negative equity• Liquidity risk• Market risk – idiosyncratic risk• Property price risk – interest rate risk – other market risk • Correlation risk

– Negative equity and liquidity problems appear to a large number of debtors at the same time.

Page 8: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Special Danish risk features at mortgages

At interest rate increases:• ARM: payments increases – debt is (nearly) unchanged• FRM: payments unchanged – debt is falling fast

Interest increase might lead to falling house pricesThen• if ARM: falling equity• if FRM: somehow unchanged equity

And reverse at falling interest rates• Except for the call option in FRM

Page 9: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Foreclosure

• A foreclosure is the final solution– when a borrower is unable to pay his promised debt services on his loan,– and when he is in negative equity (“under water”)

• A well-established set of legal rules exists.• An auction – often with quite few bidders, among them the creditors. • Still after the foreclosure: the debtor owes the not covered debt

– and the high costs at the foreclosure process are added.• A foreclosure remains as a lifelong economic burden for the

foreclosure hidden person and family. • Ending up in foreclosure is a dishonour.• To avoid moral hazard: The existence of a foreclosure system is a

presumption for an efficient mortgage system with high loan-to-values (LTV).

Page 10: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The monthly Statistic Denmark newsMay 2012

Page 11: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Number of foreclosures, two sources: 1. Statistic Denmark: announced foreclosures

2. Domstolsstyrelsen: realized foreclosures

announced foreclosures realized foreclosures

1980 6846 6066

1981 14923 13816

1982 17516 16651

1983 14977 15256

1984 10444 8000

1990 20339 14262

1991 18188 12040

1992 16519 10646

1993 14693 10671

1994 8788 6377

2006 1231 689

2009 4140 4355

2010 5222 5305

2011 5025 4775

Page 12: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Foreclosures 1979 – 2011. (Annual data)

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

20110

5000

10000

15000

20000

25000

Announced foreclosuresRealized foreclosures

Page 13: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Realized foreclosures as per cent of the year’s announced foreclosure.

19791980

19811982

19831984

19851986

19871988

19891990

19911992

19931994

19951996

19971998

19992000

20012002

20032004

20052006

20072008

20092010

0

20

40

60

80

100

120

Page 14: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Frequencies

• 2011: average rate for announced foreclosure : 0.21 % of the stock of houses.

• 2011: average rate for announced foreclosure: 7.45 % of the number of sold properties (all types).

• 1990: average rate for announced foreclosures: 16.7 % of the number of sold properties (all types).

• 1990: average rate for realized foreclosure : 11.7 % of the number of sold properties (all types).

• And other frequencies will be calculated

• Foreclosure frequencies might be part of calculated risk premiums for mortgage and bank loans.

Page 15: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Foreclosures in per cent of number of sold houses and flats in the purchase year.

Source: ”Financial Stability 2012”.

Page 16: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Natural rates of foreclosure?

• Geoff Meen: the natural rate of possessions in UK is now higher than in the 1970s or early 1980s. Among the reasons is the significant increase in the mortgage debt-to-income ratios as partly due to the mortgage market liberalisation in the 1980s. (Meen, 2008, pp. 2771-3).

• In Denmark, possibly a higher rate can be found in average but might be due to the mass foreclosure periods.

Page 17: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Also it has been worse before – 2012- mass foreclosures often a part of financial crisis?

• Green and Wachter: even though home mortgages had very low loan-to-value ratios of 50 percent, the decline in property prices by 50 percent in the early 1930s made borrowers default: “A wave of foreclosures resulted – typically 250,000 per year between 1931 and 1935. At the worst of the Depression, nearly 10 percent of houses were in foreclosure.” (Green and Wachter, 2005, pp. 94-95).

• Drop in world market prices on corn in the beginning of the 1820s resulted in property price drops and foreclosures for farms… The property crisis was rather deep as seen of the foreclosure announcements in the newspapers from that age; many properties did not find a buyer before the 6.th or 7.th announced foreclosure. (E.Olsen, 1962, p. 47; Svend Aage Hansen, 1968, pp. 168-170).

Page 18: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The cycles in real house prices and in number of (all) foreclosures.

19791981

19831985

19871989

19911993

19951997

19992001

20032005

20072009

20110

20

40

60

80

100

120

0.00

5.00

10.00

15.00

20.00

25.00

Real house price index

Number of foreclosures

Page 19: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

On the edge at a new flood of foreclosures?

• Real housing prices are falling.• The technical insolvency has increased (see below)• The rescue operations until 2012: – The low interest rate regime (since the autumn 2008), – the reduced income taxation as part of the state budget

deficit – the owners remortgaging to adjustable interest rate and

to interest-only mortgages (see below).

• Relatively few Danish households in arrears

Page 20: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The 20 per cent most indebted owner-occupiers – compared to housing wealth.1987-2009.

Owner-occupiers (excluding the self-employed) divided into deciles by size of net liabilities as a per cent of housing wealth in the 8th decile.

198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820090

20

40

60

80

100

120

140

160

180

Below 30 years30-39 years40-49 years50-59 years60-69 years70 year and above

Page 21: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The 20 per cent most indebted owner-occupiers – compared to gross household income. 1987-2009.Owner-occupiers (excluding the self-employed) divided into deciles by size of net liabilities as a per cent of gross household income in the 8 th decile.

19871988

19891990

19911992

19931994

19951996

19971998

19992000

20012002

20032004

20052006

20072008

20090

50

100

150

200

250

300

350

400

450

< 30 years30-39 years40-49 years50-59 years60-69 years70 years and above

Page 22: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Few households with liquidity (payment) difficulties: Extraordinary low number of arrears in Denmark.

Source: EU Article 5 analysis. 30.5.2012.

Page 23: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

The 20 per cent of the owner-occupiers with highest net interest expenditure-to- gross household income. 1987-2009.

Owner-occupiers (excluding the self-employed) divided into deciles by size of net interest expenditures as a per cent of gross household income in the 8th decile.

198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820090

5

10

15

20

25

30

35

< 30 years30-39 years40-49 years50-59 years60-69 years70 years and above

Page 24: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Special risk factors for a new flood of foreclosures.

• Real incomes are falling.• Risk for increasing unemployment.• Real housing prices have fallen – and are expected to

continue to fall.• The technical insolvency has increased and nothing indicate

any improvement since 2009.• The part of ARM mortgage have increased

=> reduced debt services=> increased payment risk

• The high interest-only mortgage part contain a special remortgaging risk from 2013 on.Þ significantly increased debt servicesÞ remortgaging problematic

Page 25: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Adjustable interest rate mortgages as percentage of all outstanding mortgage loans.

Per cent January 2003

January 2004

January2005

January 2006

January 2007

January 2008

January 2009

January 2010

January 2011

March 2012

Agriculture 37.0 43.9 51.1 58.3 58.7 71.8 78.1 83.4 86.8 88.5Owner-

occupied dwellings

28.0 36.2 46.0 49.7 46.8 45.3 45.9 59.1 65.0 68.6All

outstanding mortgage

loans 28.9 36.9 45.3 49.2 47.4 52.2 55.3 65.1 69.9 72.9

Page 26: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

Interest-only loans as percentage of all outstanding mortgages. 2003:4 – 2012:1.

2003:Q4

2004:Q1

2004:Q2

2004:Q3

2004:Q4

2005:Q1

2005:Q2

2005:Q3

2005:Q4

2006:Q1

2006:Q2

2006:Q3

2006:Q4

2007:Q1

2007:Q2

2007:Q3

2007:Q4

2008:Q1

2008:Q2

2008:Q3

2008:Q4

2009:Q1

2009:Q2

2009:Q3

2009:Q4

2010:Q1

2010:Q2

2010:Q3

2010:Q4

2011:Q1

2011:Q2

2011:Q3

2011:Q4

2012:Q10

10

20

30

40

50

60

Page 27: Jens Lunde Associate Professor Department of  Finance, Copenhagen Business School

From Danmarks Nationalbank:

Financial Stability 2011. (Not repeated in Financial Stability 2012)