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Preparing for a Turn in the Chinese Credit
Cycle
November 2018
Glenn Levine, Associate Director
David Hamilton, Managing Director
Preparing for a Turn in the Chinese Credit Cycle 2
Speakers
David Hamilton, PhD
Managing Director
Credit Risk Analytics, Asia-Pacific
Singapore
Glenn Levine
Corporate Stress Testing
Model Lead, Credit Risk
Analytics Group
New York
Preparing for a Turn in the Chinese Credit Cycle 3
1. Recent performance and outlook for the Chinese economy
2. Using an equity-based model to analyze Chinese corporate credit
risk
3. Early warning and monitoring strategies for corporate credit
exposures
4. Stress testing your corporate loan book
5. Q&A
Agenda
1Recent performance and
outlook for the Chinese
economy
Preparing for a Turn in the Chinese Credit Cycle 5
China’s Economy Has Been Growing Strongly…Chinese GDP growth, % year-over-year
0
1
2
3
4
5
6
7
8
2014Q1 2015Q1 2016Q1 2017Q1 2018Q1 2019Q1 2020Q1
Forecast
Source: Moody’s Analytics
Preparing for a Turn in the Chinese Credit Cycle 6
…But This is Partly Due to Higher LeverageChinese lending to non-financial corporates, % of GDP
0
20
40
60
80
100
120
140
160
180
2006Q1 2008Q1 2010Q1 2012Q1 2014Q1 2016Q1 2018Q1
Source: Bank of International Settlements
Preparing for a Turn in the Chinese Credit Cycle 7
Is China’s High Corporate Leverage a Problem?
» China’s corporate debt ratio (160% of GDP) looks dangerous compared to
the US (74%), Japan (99% currently; 150% in 1999), and its own recent
history
» But:
– Most debt is in RMB (which removes currency risk)
– The government has considerable control over lending and interest rates
“Canada, China, and Hong Kong SAR stand out, with both the
credit-to-GDP gap and the DSR (debt service ratio) flashing red”,
Bank of International Settlements, March 2018 Quarterly
Review
2Using an equity-based
model to analyze Chinese
corporate credit risk
Preparing for a Turn in the Chinese Credit Cycle 9
The EDF Model Can Signal Rising Risk Well Ahead of
Eventual Default Fushun Special Steel, Expected Default Frequency (%)
Bankruptcy
Preparing for a Turn in the Chinese Credit Cycle 10
Overview of Moody’s Analytics’ EDF model
DD = distance-to-default
A = market value of assets
X = default point
σA = asset volatility
Preparing for a Turn in the Chinese Credit Cycle 11
Overview of Moody’s Analytics’ EDF model
DD = distance-to-default
A = market value of assets
X = default point
σA = asset volatility
Preparing for a Turn in the Chinese Credit Cycle 12
Overview of Moody’s Analytics’ EDF model
DD = distance-to-default
A = market value of assets
X = default point
σA = asset volatility
Preparing for a Turn in the Chinese Credit Cycle 13
How Well Does the EDF Perform in China?Accuracy Ratio of the EDF model in China vs other regions, 2007-2015
Preparing for a Turn in the Chinese Credit Cycle 14
Aggregate Credit Trends in ChinaMedian EDF for Chinese and Global corporates
Preparing for a Turn in the Chinese Credit Cycle 15
Drilling Down to China’s Riskiest IndustriesMedian EDF of China’s 3 riskiest corporate industries vs overall median
3Early warning and
monitoring strategies for
corporate credit exposures
Preparing for a Turn in the Chinese Credit Cycle 17
Defaults Rise When Economic Growth SlowsYear-Over-Year Change in US GDP vs. US Corporate Default Rate, 1980-2015
-4
-2
0
2
4
6
8
100
1
2
3
4
5
6
19
80
19
81
19
82
19
83
19
84
19
85
19
86
19
87
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
20
13
20
14
20
15
GD
P Y
oY
% C
ha
ng
e (
Inve
rte
d)
An
nu
al D
efa
ult R
ate
Annual Default Rate GDP YoY % Change
Preparing for a Turn in the Chinese Credit Cycle 18
Can You Spot the Defaulters?Effective Early Warning Requires Us to Look at Things Differently
-100%
-50%
0%
50%
100%
150%
200%
250%
-40% -30% -20% -10% 0% 10% 20% 30% 40% 50%
ROA
% Change 2013-2014
Leverage
% Change 2013-2014
Clearly
Good
Clearly
Bad
Preparing for a Turn in the Chinese Credit Cycle 19
In A Sector-Wide Downturn, How Can We Identify
Firms Most At Risk?
ED
F %
Preparing for a Turn in the Chinese Credit Cycle 20
Which Firms Stand Out As Most Risky?Firm-Level EDFs for China Construction Group (selected companies)
ED
F %
0
5
10
15
20
25
YU
NN
AN
ME
TR
OP
OLIT
AN
…
CO
FC
O P
RO
PE
RT
Y G
RO
UP
…
TIA
NJIN
GU
AN
GY
U…
RO
NG
AN
PR
OP
ER
TY
…
YA
NG
O G
RO
UP
CO
LT
D
CH
ON
GQ
ING
DIM
A…
HU
AF
A I
ND
US
TR
IAL C
O.,
…
HU
AY
UA
N P
RO
PE
RT
Y…
BE
IJIN
G C
AP
ITA
L…
XIN
JIA
NG
BE
IXIN
RO
AD
…
SH
AN
DO
NG
HI-
SP
EE
D…
CH
INA
NU
CLE
AR
…
EV
ER
BR
IGH
T J
IAB
AO
CO
LT
D
HA
INA
N H
AID
E I
ND
US
TR
Y…
NO
RT
HC
OM
GR
OU
P C
O L
TD
FIN
AN
CIA
L S
TR
EE
T…
CH
INA
BA
OA
N G
RO
UP
…
JIN
KE
PR
OP
ER
TY
GR
OU
P…
PO
TE
N E
NV
IRO
NM
EN
T…
SH
EN
ZH
EN
HE
UN
GK
ON
G…
PO
WE
R C
ON
ST
RU
CT
ION
…
SH
EN
ZH
EN
MIN
KA
VE
…
SH
AN
GH
AI S
HIM
AO
CO
LT
D
CH
INA
CA
LX
ON
GR
OU
P…
BE
IJIN
G V
AN
TO
NE
RE
AL…
SH
UN
FA
HE
NG
YE
…
SH
EN
ZH
EN
PR
OP
ER
TIE
S &
…
DB
G T
EC
HN
OLO
GY
CO
LT
D
CH
EN
GD
U F
US
EN
NO
BLE
-…
CR
ED
HO
LD
ING
CO
MP
AN
Y…
Preparing for a Turn in the Chinese Credit Cycle 21
“When Should I Get Worried?”
» Which firms in a portfolio should be considered relatively more risky, and
merit deeper investigation?
» Moody’s Analytics research has identified several strategies for monitoring
early warning signals:
1. EDF level versus an industry threshold → EDF “trigger level”
2. Relative EDF level vs. industry group → Under- / out-performance
3. EDF level change → Momentum
4. Relative EDF change vs. peer group → Under- / out-performance
5. Slope of EDF term structure → Expectation of risk
Preparing for a Turn in the Chinese Credit Cycle 22
Setting Sector-Level Early Warning Trigger LevelsEDF Early Warning Trigger Levels Balance True Pos/Neg Signals vs.
False Pos/Neg Signals
Sectort *
(Pctile)
Banks0.281%
(75.5%)
Consumer Products4.406%
(79.0%)
High Tech13.715%
(95.5%)
Transportation4.344%
(83.9%)
t * Median 25th% 75th%
3.04% 0.70% 0.17% 3.00%
Optimal EDF Warning Level for
Selected Industry Sectors, 1999-2014Optimal EDF Warning Level for All
Firms Globally, 1999-2014
Preparing for a Turn in the Chinese Credit Cycle 23
Bankruptcy
Early Warning Triggered
Monitor EDF vs Industry Trigger Levels to Identify
Potential Credit Events
Historically, 92% of
corporate
defaulters breached
their trigger level
during the 12
months prior to
default
Fushun Special Steel’s EDF Triggered a Warning 3 Years Prior to Default
Preparing for a Turn in the Chinese Credit Cycle 24
EDF-Based Early Warning Signals Also Work for
Private Firms
Early warning level for the China Textiles sector
Jiangsu Qiaoli bankruptcy
Jiangsu Qiaoli’s EDF jumps past early warning trigger after reporting disappointing financials
Borrows 1-year loan of 140 MM RMB
Jiangsu Qiaoli Textile Products Co. CCA-EDF vs. Industry Trigger Level
Preparing for a Turn in the Chinese Credit Cycle 25
Which Firms Stand Out As Most Risky?Firm-Level EDFs for China Construction Group (selected companies)
ED
F %
0
5
10
15
20
25
YU
NN
AN
ME
TR
OP
OLIT
AN
…
CO
FC
O P
RO
PE
RT
Y G
RO
UP
…
TIA
NJIN
GU
AN
GY
U…
RO
NG
AN
PR
OP
ER
TY
…
YA
NG
O G
RO
UP
CO
LT
D
CH
ON
GQ
ING
DIM
A…
HU
AF
A I
ND
US
TR
IAL C
O.,
…
HU
AY
UA
N P
RO
PE
RT
Y…
BE
IJIN
G C
AP
ITA
L…
XIN
JIA
NG
BE
IXIN
RO
AD
…
SH
AN
DO
NG
HI-
SP
EE
D…
CH
INA
NU
CLE
AR
…
EV
ER
BR
IGH
T J
IAB
AO
CO
LT
D
HA
INA
N H
AID
E I
ND
US
TR
Y…
NO
RT
HC
OM
GR
OU
P C
O L
TD
FIN
AN
CIA
L S
TR
EE
T…
CH
INA
BA
OA
N G
RO
UP
…
JIN
KE
PR
OP
ER
TY
GR
OU
P…
PO
TE
N E
NV
IRO
NM
EN
T…
SH
EN
ZH
EN
HE
UN
GK
ON
G…
PO
WE
R C
ON
ST
RU
CT
ION
…
SH
EN
ZH
EN
MIN
KA
VE
…
SH
AN
GH
AI S
HIM
AO
CO
LT
D
CH
INA
CA
LX
ON
GR
OU
P…
BE
IJIN
G V
AN
TO
NE
RE
AL…
SH
UN
FA
HE
NG
YE
…
SH
EN
ZH
EN
PR
OP
ER
TIE
S &
…
DB
G T
EC
HN
OLO
GY
CO
LT
D
CH
EN
GD
U F
US
EN
NO
BLE
-…
CR
ED
HO
LD
ING
CO
MP
AN
Y…
Sector-Specific EDF Trigger Level
Preparing for a Turn in the Chinese Credit Cycle 26
Monitor EDF Against Industry Peer Groups to
Identify Firm-Level Credit DeteriorationFushun Special Steel’s EDF Was High 2 Years Prior to Default
Preparing for a Turn in the Chinese Credit Cycle 27
Early Warning of Credit Risk is Also Critical for
Managing ECL Under IFRS 9Hidili Industry International Development (China)
Stage 1 Stage 2
1-Yr EDF
Data source: Moody’s Analytics
Stage 3
Preparing for a Turn in the Chinese Credit Cycle 28
The Business Case for a Strong Monitoring and
Early Warning System
OnboardingCredit
AssessmentMonitoring Action
» Pre-
qualification
assessments
» Loan loss
provisioning
» Inputs into
internal risk
ratings
» Challenger
model
» Benchmark
» Early warning
of credit
deterioration
» Peer
comparison of
relative risk
» Timely and
actionable
information
» A more
effective
watch list
4 Stress testing your
corporate loan book
Preparing for a Turn in the Chinese Credit Cycle 30
What Could Cause the Credit Cycle to Turn?
Results of Moody’s Analytics Singapore and Kuala Lumpur
conference surveys, November 20/21, 2018
What is your biggest economic concern at the moment?
Preparing for a Turn in the Chinese Credit Cycle 31
China’s Economy Under Alternative ScenariosChinese GDP growth %y/y under five economic scenarios
-2
0
2
4
6
8
10
Baseline s1 s2 s3 s4
Preparing for a Turn in the Chinese Credit Cycle 32
Chinese Credit Risk Under Alternative ScenariosMedian Chinese EDF under five economic scenarios
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Baseline S1 S2 S3 S4
Preparing for a Turn in the Chinese Credit Cycle 33
High Risk Firms are Vulnerable to RecessionStressed EDF under different economic scenarios
Tencent Holdings Ltd Evergrande Group
Preparing for a Turn in the Chinese Credit Cycle 34
High Risk Firms are Vulnerable to RecessionStressed EDF under different economic scenarios
Tencent Holdings Ltd Evergrande Group
Preparing for a Turn in the Chinese Credit Cycle 35