1 colombia: rule of law, creditor rights and the crisis of housing finance mauricio cárdenas...
TRANSCRIPT
1
Colombia: Rule of Law, Creditor Rights and the
Crisis of Housing Finance
Mauricio Cárdenas
Alejandro Badel
2
Outline
1. Macroeconomic relevance2. Overview of the mortgage sector3. Perils of indexation4. Other causes (and consequences) of
the crisis5. Creditor rights6. Econometric analysis7. Fiscal costs
3
Macro relevance
4
Cyclical Components of Mortgage Disbursements, Construction GDP and Total GDP
-100%
-75%
-50%
-25%
0%
25%
50%
75%
100%
1977
:1
1979
:1
1981
:1
1983
:1
1985
:1
1987
:1
1989
:1
1991
:1
1993
:1
1995
:1
1997
:1
1999
:1
2001
:1
-5%-4%-3%-2%-1%0%1%2%3%4%5%
Disbursements of Mortgage Loan
Total GDP
-100%
-75%
-50%
-25%
0%
25%
50%
75%
100%
-40%
-30%
-20%
-10%
0%
10%
20%
30%Disbursements of Mortgage Loan
Construction GDP
5
Granger Causality between GDP and mortgage origination
Lags Sample Statistic F Probability
GDP Cycle Causes Construction GDP Cycle 2 1977:1 2002:2 3,583 0,032Construction GDP Cycle Causes GDP Cycle 0,976 0,381
GDP Cycle Causes Disbursements of Mortgage Loans Cycle 2 1977:1 - 2002:2 0,859 0,427Disbursements of Mortgage Loans Cycle Causes GDP Cycle
2,474 0,090
GDP Construction Cycle Causes Disbursements of Mortgage Loans Cycle 2 1977:1 - 2002:2 3,701 0,028Disbursements of Mortgage Loans Cycle Causes GDP Construction Cycle 3,654 0,030
GDP Cycle Causes GDP Construction Cycle 1 1990:1 - 2002:2 0,050 0,824GDP Construction Cycle Causes GDP Cycle 4,418 0,041
GDP Cycle Causes Disbursements of Mortgage Loans Cycle 2 1990:1 - 2002:2 0,008 0,992Disbursements of Mortgage Loans Cycle Causes GDP Cycle 3,222 0,049
GDP Construction Cycle Causes Disbursements of Mortgage Loans Cycle 2 1990:1 - 2002:2 3,405 0,042Disbursements of Mortgage Loans Cycle Causes GDP Construction Cycle 16,979 0,000
Causality
6
Granger Causality between Cyclical Components (1977-2002)
Construction GDPDisbursements of Mortgage Loans
Construction GDP Total GDP
Total GDPDisbursements of Mortgage Loans
(all but the 90s)
(Only the 90s)
7
Correlation with the Disbursements of Mortgage Loans
Cycle
Correlation between Total GDP and Construction
GDP Cycles
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Co
rrel
atio
n c
oef
fici
ent*
Construction GDP Cycle
Total GDP Cycle
-60%
-40%
-20%
0%
20%
40%
60%
80%
100%
1986
:4
1987
:4
1988
:4
1989
:4
1990
:4
1991
:4
1992
:4
1993
:4
1994
:4
1995
:4
1996
:4
1997
:4
1998
:4
1999
:4
2000
:4
2001
:4
Co
rrel
atio
n c
oef
fici
ent*
*"Rolling Correlation" using a 10 year window of data
Rolling Correlation
8
OVERVIEW OF THE
MORTGAGE SECTOR
9
Mortgage Banks in 2002
48%
12%
59%
35%
53%
43%
57%
-
100
200
300
400
500
600
700
800
900
AV VILLAS BANCAFE COLMENA COLPATRIA CONAVI DAVIVIENDA GRANAH
US
$ M
Mortgage Loans % Total assets
10
0
50
100
150
200
250
300
350
400
450M
ar-7
3M
ar-7
4M
ar-7
5M
ar-7
6M
ar-7
7M
ar-7
8M
ar-7
9M
ar-8
0M
ar-8
1M
ar-8
2M
ar-8
3M
ar-8
4M
ar-8
5M
ar-8
6M
ar-8
7M
ar-8
8M
ar-8
9M
ar-9
0M
ar-9
1M
ar-9
2M
ar-9
3M
ar-9
4M
ar-9
5M
ar-9
6M
ar-9
7M
ar-9
8M
ar-9
9M
ar-0
0M
ar-0
1
Disbursements of Mortgage Loans B
illi
on
s o
f 19
98 p
eso
s
11
Outstanding mortgage loans(1998 pesos, % of GPD, and % of total credit)
2%
7%
12%
17%
22%
27%
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
%
0
2
4
6
8
10
12
14
16
18
bill
ion
s o
f 19
98 p
eso
s
% of GDP
% of Total credit
Constant pesos
12
Non-performing mortgage loans(as % of total mortgage loans)
0
5
10
15
20
25D
ic-9
4
Jun
-95
Dic
-95
Jun
-96
Dic
-96
Jun
-97
Dic
-97
Jun
-98
Dic
-98
Jun
-99
Dic
-99
Jun
-00
Dic
-00
Jun
-01
Dic
-01
Jun
-02
% Debt restructuring
13
Mortgage Banks Composition of Assets
0%
20%
40%
60%
80%
100%
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
Ag-
02
Mortgage Loans Other Loans Portfolio Investments Other assets
14
0%
20%
40%
60%
80%
100%
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
Ag
-02
Indexed Liabilities Peso liabilities Other liabilities
Mortgage BanksComposition of Liabilities
15
Mortgage BanksComposition of Deposits
0%
20%
40%
60%
80%
100%19
85
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
Savings and current account Less than one year More than one year
16
Summary
1) Disbursements currently at their historically lowest point.
2) 21.5% of the mortgage portfolio was delinquent by February 2003.
3) Interest rate and maturity mismatch.
17
The perils of indexation
18
Yearly Growth Rates: UPAC and CPI
8%
13%
18%
23%
28%
33%
38%
Oct
-73
Oct
-74
Oct
-75
Oct
-76
Oct
-77
Oct
-78
Oct
-79
Oct
-80
Oct
-81
Oct
-82
Oct
-83
Oct
-84
Oct
-85
Oct
-86
Oct
-87
Oct
-88
Oct
-89
Oct
-90
Oct
-91
Oct
-92
Oct
-93
Oct
-94
Oct
-95
Oct
-96
Oct
-97
Oct
-98
Oct
-99
UPAC
CPI
19
Real UPAC (UPAC / CPI)
50
60
70
80
90
100
Se
p-7
2S
ep
-73
Se
p-7
4S
ep
-75
Se
p-7
6S
ep
-77
Se
p-7
8S
ep
-79
Se
p-8
0S
ep
-81
Se
p-8
2S
ep
-83
Se
p-8
4S
ep
-85
Se
p-8
6S
ep
-87
Se
p-8
8S
ep
-89
Se
p-9
0S
ep
-91
Se
p-9
2S
ep
-93
Se
p-9
4S
ep
-95
Se
p-9
6S
ep
-97
Se
p-9
8S
ep
-99
Se
p.
19
72
= 1
00
Real UPAC
New UPAC for “restructured” loans
20
UPAC, UVR and CPI: Monthly percent changes
-1%
0%
1%
2%
3%
4%
5%
6%
7%
Oct
-72
Oct
-73
Oct
-74
Oct
-75
Oct
-76
Oct
-77
Oct
-78
Oct
-79
Oct
-80
Oct
-81
Oct
-82
Oct
-83
Oct
-84
Oct
-85
Oct
-86
Oct
-87
Oct
-88
Oct
-89
Oct
-90
Oct
-91
Oct
-92
Oct
-93
Oct
-94
Oct
-95
Oct
-96
Oct
-97
Oct
-98
Oct
-99
Oct
-00
Oct
-01
% UPAC - UVR% CPI
21
OTHER CAUSES
(AND CONSEQUENCES)
22
Housing Price Index (HPI)Deflated by CPI
60
70
80
90
100
110
120
130
140no
v-86
nov-
87
nov-
88
nov-
89
nov-
90
nov-
91
nov-
92
nov-
93
nov-
94
nov-
95
nov-
96
nov-
97
nov-
98
nov-
99
nov-
00
nov-
01
nov-
02
Ap
ril 1
998=
100
HPI DNP BOGOTA HPI DNP MEDELLIN HPI DANE HPI Camacol
23
17,8%16,6%
18,0%
5%
10%
15%
20%
Mar
-90
Mar
-91
Mar
-92
Mar
-93
Mar
-94
Mar
-95
Mar
-96
Mar
-97
Mar
-98
Mar
-99
Mar
-00
Mar
-01
Mar
-02
Unemployment (keeping the December 1997 construction employment constant)
Unemployment (keeping the September 95)
Observed unemployment rate
Unemployment rate (observed and simulated)
*Unemployment rate in 13 metropolitan areas (Jan 00 – Jun-02) applying growth to seven areas (Mar 90 – Dec 99)
80.000 employees
196.000 employees
24
The role of creditor protection
25
Foreclosure Proceedings
LAWSUIT
Due Notified to the defendant (20 days)
Presentation of the defendants pleadings (10 days)
Request of embargo and sequestration of
assets
Non acceptance
(30 days)
Correction (5 days)
Non corrections
Rejection(Delay 2 months)
ESTIMATE OF ASSETS
PRICE
Liquidation of credits and expenses by the plaintiff
(10 days and 3 of notice for the defendant)
SENTENCE:-Orders to continue the proceedings of the lawsuit.-Orders to estimate the price and the sale by auction of the assets under embargo-Orders to liquidate the credit.
Order of sale by auction (No dateline) (Embargo, sequestration
and estimated)PUBLICATION OF ADS (5 days before the auction)
Sale by auction (1 day)
(BID, AWARD, NO DATELINES FOR
BIDDERS)
LEGALIZATION AND DELIVER OF THE ASSET SOLD
BY AUCTION
Approved by the Judge
Liquidation of credit and expenses by the
defendant if is not done by the plaintiff (10 days and 3 of notice for the
plaintiff)
Definitive Liquidation by the court (It has no
dateline)
No presentation of the defendants pleadings
Acceptance (30 days)
Order of embargo (30 d) and sequestration (90d)
26
Average Time of Foreclosure
CEJ (1998)
CSJ (1998)
Normative time
ICAV (2002)
0 200 400 600 800 1000 1200 1400 1600# of calendar days
27
Foreclosure proceedings
114.766
124.116
128.316
4.831.195
5.119.104
5.252.000
105.000
110.000
115.000
120.000
125.000
130.000
Dic-01 Mar-02 Jun-02
Nu
mb
er
4.600.000
4.700.000
4.800.000
4.900.000
5.000.000
5.100.000
5.200.000
5.300.000
Mill
ion
s o
f P
eso
s
Number Balance
28
Probability of property being foreclosed
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0 10 20 30 40 50 60 70 80 90 100 110 120
Months in delinquency
Cu
mu
lati
ve p
rob
abili
ty
Bank 1
Bank 3Bank 2
29
ECONOMETRIC ANALYSIS
30
Data
Aggregation Level: Individual Loans.
Number of banks: 2.
Scope: Approx. 30% of housing credit.
Sample: January 1994 - June 2002.
Size: 240,350 loans, with an outstanding balance of 2.3 billions pesos (June 2002) and an original balance of 8.8 billions pesos.
31
Mortgage Loans by Origination Year
Año de Originación
% Saldo Inicial*
% Número de Créditos**
%Créditos en dación de
pago
Plazo Original*** (meses) % Tasa***
% LTV Original***
Altura de Mora***
antes de 1980 0,0 0,0 4,5 176,9 8,3 0,24 158,8
1980 - 1984 2,2 1,9 0,4 179,5 6,8 0,38 2,7
1985 - 1989 8,6 10,3 0,4 177,1 6,8 0,48 1,8
1990 - 1992 6,2 5,8 0,6 178,1 9,0 0,45 1,6
1993 - 1994 13,2 13,0 1,1 177,8 9,7 0,53 1,5
1995 - 1996 20,7 16,3 4,4 179,3 12,4 0,51 2,1
1997 - 1998 29,3 26,4 5,2 175,5 13,0 0,52 2,3
1999 - 2000 17,0 21,2 3,1 172,6 12,1 0,55 1,7
2001 - 2002 1,9 3,2 0,0 162,3 11,9 0,52 0,3
2002 0,9 1,8 0,0 163,6 11,9 0,55 0,0
Total 100,0 100,0 3,0 176,1 11,3 0,52 1,9
34
Mortgage Loans by Rate Range
Rango de Tasa % Tasa***% Saldo Inicial*
% Número de
Créditos**
%Créditos en dación en pago
Plazo Original***
(meses)% LTV
Original***
Altura de mora*** (meses)
Menos del 1% 0,0 0,0 0,1 4,3 119 54,7 2,41% - 2% 2,0 0,0 0,0 - 171 53,7 0,92% - 3% 3,0 0,1 0,1 2,5 177 57,8 0,53% - 4% 4,0 0,0 0,0 - 145 50,8 2,14% - 5% 5,0 6,3 12,3 1,1 178 63,3 1,95% - 6% 5,4 0,6 0,8 0,2 171 40,0 1,26% - 7% 6,7 7,3 7,1 0,5 174 46,0 2,07% - 8% 7,8 3,3 4,0 1,6 165 50,4 1,38% - 9% 8,6 4,7 4,2 0,8 176 51,1 1,59% - 10% 9,8 4,3 4,2 1,7 175 48,4 2,010% - 11% 11,0 18,3 28,7 1,7 177 57,5 1,511% - 12% 12,0 9,8 7,4 3,8 185 48,1 1,612% - 13% 13,0 7,1 4,8 3,7 177 46,1 1,313% - 14% 13,9 38,1 26,4 6,4 174 50,7 2,5Total 11,3 100,0 100,0 3,0 176 51,7 1,9
35
Origination Rate for VIS and Non VIS Mortgage loans*
*Origination Rate = Value of Originated Loans in t / Value of Outstanding loans in t-1.
0,0%
1,0%
2,0%
3,0%
4,0%
5,0%
6,0%F
eb-9
4
Ago-9
4
Feb-9
5
Ago-9
5
Feb-9
6
Ago-9
6
Feb-9
7
Ago-9
7
Feb-9
8
Ago-9
8
Feb-9
9
Ago-9
9
Feb-0
0
Ago-0
0
Feb-0
1
Ago-0
1
Feb-0
2
Non VIS
VIS
36
Determinants of the Origination RateVariable Dependiente LOG(ORIGTOT) LOG(ORIGVIS) LOG(ORIGNOVIS)Procedimiento OLS OLS OLS
Constante -3,75 1,91 1,89Estadístico t -2,31 0,95 0,96Probabilidad 0,02 0,34 0,34
DUM99-01 -0,55 -0,33 -0,42Estadístico t -4,45 -2,50 -3,10Probabilidad 0,00 0,01 0,00
LOG(Variable Dependiente (-1)) 0,29 0,60 0,27Estadístico t 3,08 7,60 2,80Probabilidad 0,00 0,00 0,01
LOG(VENCIDA(-1)) -0,28 0,03 -0,34Estadístico t -2,65 0,27 -2,56Probabilidad 0,01 0,79 0,01
LOG(CUBRIMIENTO(-1)) -0,55 -0,29 -0,95Estadístico t -5,25 -2,80 -6,10Probabilidad 0,00 0,01 0,00
LOG(LIQUIDEZ(-1)) -0,18 -0,31 -0,10Estadístico t -1,07 -1,50 -0,49Probabilidad 0,29 0,14 0,63
LOG(SOLVENCIA(-1)) 1,93 1,13 1,88Estadístico t 4,46 2,31 3,84Probabilidad 0,00 0,02 0,00
LOG(TASA(-1)) -1,65 -1,16 -2,38Estadístico t -3,07 -1,88 -3,46Probabilidad 0,00 0,06 0,00
R2 ajustado 0,94 0,83 0,94Log verosimilitud -2,26 -17,23 -21,20Durbin Watson 2,08 2,36 2,11Número Observaciones 87 87 87
37
Origination Rate: Observed, Fitted and Forecasted with and without Legal Instability
0,0%
0,5%
1,0%
1,5%
2,0%
2,5%
3,0%
3,5%
1995:05 1995:12 1996:07 1997:02 1997:09 1998:04 1998:11 1999:06 2000:01 2000:08 2001:03 2001:10 2002:05
Observado Fitted Value Proyectado sin IJ Proyectado con IJ
38
Determinants of Delinquency Levels
Regresión 1 2 3 4 5 6
NivelesPrimeras
diferencias § Niveles Niveles NivelesPrimeras
diferencias §
Constante 0.007368*** 0.052294*** 0.007226*** 0.006028*** -0.01189*** 0.00537***Estadístico t 2.97 21,38 2.91 2,43 -13,06 -6,81
log(MORA(-1)) 0.899753*** -0.29727*** 0.899748*** 0.899755*** 0.898645*** -0.29752***Estadístico t 7128.53 -1156,9 7128.57 7128.70 7110,18 -1152,8
AMORT 0.028902*** 0.003827*** 0.028861*** 0.028842*** 0.026253*** 0.005831***Estadístico t 95.56 12,14 95.42 95,36 86,72 19,95
BANCO -0.00944*** -0.0027*** -0.00940*** -0.00944*** -0.00718*** -0.00236***Estadístico t -43.45 -14,14 -43.26 -43.42 -32,91 -11,48
VIS/NOVIS -0.01787*** 0.000523*** -0.01788*** -0.01781*** -0.01391*** 0.001739***Estadístico t -65.32 1,11 -65.36 -65.11 -52,85 7,22
SALDOI -0.00811*** -0.00005*** -0.00817*** -0.00811*** -0.00250*** 0.000245**Estadístico t -49.65 -1,35 -49.99 -49.65 -22,87 2,33
TASA -0.08925** 0.120914*** -0.08814*** -0.07909** 0.030782*** 0.152744***Estadístico t -17.25 28,67 -17.04 -15.24 6,27 40,7
PLAZO -0.01872*** -0.00962** -0.01884*** -0.01887*** -0.00017*** -7.17E-06**Estadístico t -40.64 -23,01 -40.91 -40.96 -48,6 -2,12
LTV 0.179184*** 2.875096*** 0.179501*** 0.180415*** 0.147596*** 0.598189***Estadístico t 234.74 366,42 235,11 235.86 259,58 191,25
EDAD 0.025317*** 0.025492*** 0.025621*** 0.000680***Estadístico t 165.28 166,44 166,73 187,8
PRODIND -0.02062*** -0.03091*** -0.02534***Estadístico t -19,28 -27,23 -22,93
WMIN -0.12541*** -0.20100*** -0.15654***Estadístico t -24,69 -37,18 -29,88
DUMMY 1999-2001 0.001573*** 0.002487*** 0.001271*** 0.004056*** 0.005438*** 0.004602***Estadístico t 7.38 12.38 5,94 17,2 23,33 21,04
R2 ajustado 0,80927 0,09082 0,80911 0,80911 0,80929 0,09082Observaciones Incluídas13885590 13677431 13885590 13885590 13885590 13677431Durbin Watson 2,31 1,87 2,32 2,31 2,31 1,88
39
Months in Delinquency: Observed, Fitted y Forecasted without Legal Instability
0
0,5
1
1,5
2
2,5
3
3,5
4
4,5
5M
ar-9
4
Sep
-94
Mar
-95
Sep
-95
Mar
-96
Sep
-96
Mar
-97
Sep
-97
Mar
-98
Sep
-98
Mar
-99
Sep
-99
Mar
-00
Sep
-00
Mar
-01
Sep
-01
Mar
-02
Altu
ra d
e M
ora
prom
edio
(M
eses
)
Fitted Value Proyectado con IJ Observado
40
Determinants of the Default ProbabilityMétodo: PROBIT BINARIORegresión 1 2C -6,37 -7,87Probabilidad 0,00 0,00Efecto marginal -0,31 -0,35DUM99 1,02Probabilidad 0,00Efecto marginal 0,05DUM00 0,32Probabilidad 0,00Efecto marginal 0,01DUM01 -1,26Probabilidad 0,00Efecto marginal -0,06VIS/NOVIS -0,14 -0,10Probabilidad 0,00 0,00Efecto marginal -0,01 0,00BANCO -0,17 -0,10Probabilidad 0,00 0,00Efecto marginal -0,01 0,00AMORT -0,30 -0,36Probabilidad 0,00 0,00Efecto marginal -0,01 -0,02LOG(PLAZO) 0,43 0,61Probabilidad 0,00 0,00Efecto marginal 0,02 0,03LOG(1+TASA) 4,71 6,17Probabilidad 0,00 0,00Efecto marginal 0,23 0,27LOG(1+SALDOI) 0,25 0,13Probabilidad 0,00 0,00Efecto marginal 0,01 0,01LOG(1+LTVORI) 1,36 1,32Probabilidad 0,00 0,00Efecto marginal 0,07 0,06LOG(1+MORAPROM) 0,64 0,70Probabilidad 0,00 0,00Efecto marginal 0,03 0,03LOG(1+GANCAP) -3,02 -3,47Probabilidad 0,00 0,00Efecto marginal -0,15Observaciones incluidas 161.491 161.491R2 de Mcfadden 0,32 0,40Log verosimilitud -15294 -13436Iteraciones hasta convergencia 7 14
41
Marginal Effect Over the Default Probability
Incondicional 1999 1999 y 2000 1999, 2000 y 2001
VIS/NOVIS 2,1% 0,1% -0,7% -0,7%
BANCO -10,8% -5,7% -6,6% -0,7%
LOG(1+LTVORI) 0,0% 8,0% 10,1% 3,6%
LOG(PLAZO) 1,1% 1,1% 3,0% 0,6%
LOG(1+TASA) 39,0% 15,7% 31,0% 12,4%
LOG(1+SALDOI) 3,0% 1,4% -0,4% 0,4%
LOG(1+GANCAP) 0 -28,5% -28,5% -9,7%
LOG(1+MORAPROM) 4,2% 4,7% 4,3% 2,6%
Vigencia del Crédito
42
Default Probability as a Function of Original LTV
0%
1%
2%
3%
4%
5%
6%
7%
8%
4% 16% 28% 40% 52% 64% 76% 88% 100%LTV Original
Pro
babi
lidad
de
entr
ega
de B
RP
Incondicional
Vigentes en 1999 y 2000
NO VISVIS
43
THE COSTS OF THE CRISIS
44
Financial Sector Bailout Cost
Millions pesos % GDPCapitalización banca pública (Efectivo + Bonos) 6.053.099 3,20%BCH 1.291.788 0,70%Banestado 1.240.121 0,70%Bancafé 1.254.883 0,70%CISA 670.307 0,40%Granahorrar 701.000 0,40%IFI 700.000 0,40%Banco Agrario 150.000 0,10%FES 45.000 0,00%
Liquidación Caja Agraria 1.300.000 0,70%TOTAL CAPITALIZACIÓN BANCA PÚBLICA 7.353.099 3,90%Capitalización banca privada a cargo de accionistas 651.747 0,40%Resolución 06 de 1999 535.658 0,30%Resolución 06 de 2001 116.089 0,10%
Bonos Fogafín corto y largo plazo 1.378.873 0,70%Resolución 06 de 1999 778.962 0,40%Resolución 06 de 2001 599.911 0,30%
TOTAL CAPITALIZACIÓN BANCA PRIVADA 2.030.620 1,10%
TOTAL CAPITALIZACIONES PÚBLICA Y PRIVADA 9.383.719 5,00%
Apoyo a deudores hipotecarios 600.000 0,30%
Subsidios de vivienda de interés social 150.000 0,10%
Subsidio a la opción de readquisición 100.000 0,10%
Capital semilla del FRECH 350.000 0,20%Reliquidación deudas hipotecarias 2.563.602 1,30%
TOTAL APOYO A DEUDORES Y RELIQUIDACIÓN 3.163.602 1,60%
TOTAL 12.547.321 6,60%