tightening direction unchanged, but research analyst...
TRANSCRIPT
Deutsche Bank Markets Research
Asia
Hong Kong
Banking / Finance
Banks
Industry
Chinese banks - Financial deleveraging
Date
8 January 2018
Industry Update
Tightening direction unchanged, but holding the bottom line
A summary of recent regulations and monetary policy measures
________________________________________________________________________________________________________________ Deutsche Bank AG/Hong Kong
Deutsche Bank does and seeks to do business with companies covered in its research reports. Thus, investors should be
aware that the firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider
this report as only a single factor in making their investment decision. DISCLOSURES AND ANALYST CERTIFICATIONS ARE
LOCATED IN APPENDIX 1. MCI (P) 083/04/2017. THE CONTENT MAY NOT BE DISTRIBUTED IN THE PEOPLE’S REPUBLIC
OF CHINA (“THE PRC”) (EXCEPT IN COMPLIANCE WITH THE APPLICABLE LAWS AND REGULATIONS OF PRC),
EXCLUDING SPECIAL ADMINISTRATIVE REGIONS OF HONG KONG AND MACAU.
Hans Fan, CFA
Research Analyst
(+852 ) 2203 6353
Jacky Zuo
Research Analyst
(+852 ) 2203 6255
Edward Du
Research Associate
(+852 ) 2203 6185
Top picks
Bank of China (3988.HK),HKD4.02 Buy
Agri. Bank of China (1288.HK),HKD3.91 Buy
Source: Deutsche Bank
Companies Featured
ICBC (1398.HK),HKD6.56 Buy
China Construction Bank (0939.HK),HKD7.61
Buy
Agri. Bank of China (1288.HK),HKD3.91 Buy
Bank of China (3988.HK),HKD4.02 Buy
Bank of Communications (3328.HK),HKD5.98
Buy
China Merchants Bank (3968.HK),HKD32.60
Hold
China CITIC Bank (0998.HK),HKD5.04 Hold
China Minsheng Bank (1988.HK),HKD8.01 Hold
CEB (6818.HK),HKD3.71 Hold
Chongqing Rural Bank (3618.HK),HKD5.81 Buy
Huishang Bank (3698.HK),HKD4.12 Sell
Bank of Chongqing (1963.HK),HKD6.41 Hold
Shanghai Pudong Bank (600000.SS),CNY12.69
Hold
Ping An Bank (000001.SZ),CNY13.30 Hold
Industrial Bank (601166.SS),CNY17.21 Sell
Bank of Beijing (601169.SS),CNY7.29 Buy
Bank of Nanjing (601009.SS),CNY7.83 Sell
Bank of Ningbo (002142.SZ),CNY18.17 Sell
Source: Deutsche Bank
We value Chinese banks using a three-
stage GGM (PV= (ROE-g)/(COE-g)), with
target prices based on 2017E book
values. Downside risks: inflation, large-
scale DES on government intervention,
over-tightening and property price
correction. Upside risks: SOE reforms
and removal or softening of GDP
targeting.
The pace of releasing new regulations has accelerated notably. Three rules were unveiled by CBRC over the weekend. The direction is clearly on the tightening side: cracking down on shadow banking and reducing wholesale funding. On the other hand, to hold the bottom line of no systemic risks, the PBOC has increased liquidity injections (by Rmb1.6tr in 2017, equivalent to 110bps RRR cuts) and announced a few pre-emptive measures, e.g. a temporary RRR cut and relaxation in the automated pledging financing facility. As such, we expect financial deleveraging to continue but the process is likely to be orderly, given the low risk of an uncontrollable “liquidity event”.
Tighter regulations: closing loopholes, but being more coordinated Since the first meeting of the Financial Stability and Development Committee on 8 Nov 2017–the “super-regulator” coordinating financial regulators–the pace of releasing new regulations has accelerated notably (Fig. 2). This weekend, the CBRC released 3 regulations targeting entrusted loans, banks’ concentration risks and shareholding management. These regulations, in general, target a crack down on shadow banking by closing loopholes and reducing regulatory arbitrage. What makes this round of tightening different from the past is that with the new committee leading, the regulations are more coordinated and most have considerable grace periods. Starting with The Asset Management Guideline (note), an overall guideline, the regulations are targeting particular sub-markets/sectors one-by-one and step-by-step. Monetary policy: higher rates but ample liquidity with pre-emptive measures PBOC has hiked OMO rates 25bps in 2017; we expect another 20-45bps in 2018, but liquidity vol. should stay ample, as we believe that, while tightening, PBOC also needs to prevent systemic risks. Indeed, in 2017, PBOC injected Rmb1.6tr liquidity mainly via MLF and PSL, equivalent in size to 100bps RRR cut or sufficient to fund 10% of banking asset expansion. Recent relaxation on automated pledged financing suggests smaller banks in temporary liquidity troubles should have access to bigger-amt funding provided by PBOC. Also temporary RRR cut during Chinese New Year may release Rmb1.5-2.0tr liquidity for 1 mo., which should smooth liquidity tightness by then. We expect relatively remote likelihood of bank run in wholesale funding market. Implications for the system and individual banks Longer term, we see most deleveraging measures as necessary to strengthen China’s financial stability, generating net positive to financial system and real economy. Near term, for financial system, we expect slower banking asset growth, modest yield curve steepening & lower actual risk-free rate. For real economy, we forecast moderate credit growth with shrinking shadow banking and hence, slower economic growth. Yet, it should come with benefit of slower build-up in leverage & better transparency. Retail banks (big 4/CMB/CRCB) should benefit from higher rates & yield curve steepening due to solid deposit franchises. Other smaller banks will experience ongoing funding and capital pressure. Our order remains BOC/ABC/CCB/ICBC/CRCB/BoCom. Catalysts: better results, introduction of CCyB and D-SIB, apt. of governor of new committee and Southbound inflow.
Distributed on: 07/01/2018 19:21:30 GMT
7T2se3r0Ot6kwoPa
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 2 Deutsche Bank AG/Hong Kong
Recent regulation summary
Tightening regulations – closing loopholes, but being more coordinated
China has made containing financial risks a top priority and initiated the
financial delivering campaign. Over the past year, the financial regulators have
lifted market rates and rolled out plenty of new regulations. We highlight these
measures in the below diagram and have elaborated on the efforts in previous
reports (Financial deleveraging – Rising funding pressure, Impact Series I, II, III,
and IV, and 2018 Outlook).
Figure 1: Summary of recent financial deleveraging efforts
Other assets (6%)
Credit to interbank and PBOC
(14%)
Credit to NBFIs (12%)
Cash & deposits with PBOC (11%)
Credit to corporate (36%)
Credit to household (14%)
Credit to government (7%)
Assets(% of total)
Liabilities & equity(% of total)
Corporate & retail deposits (65%)
Borrowing from interbank and
interbank CDs (10%)
Borrowing from NBFIs (7%)
Bond issuance (7%)
Borrowing from PBOC (4%)
Other liabilities (8%)
Measures targeting liabilities
side:
- Money market hikes
(OMO/MLF/SLF)
- Lengthened MLF duration
- NCDs to be included in the
interbank funding (1Q18)
China banking system
The Guideline
on Asset
Management
Business (Dec
2017)
Comprehensive
self-assessment
required by
CBRC, so called
3-3-4 series
(April 2017)
Liquidity Risk
Management
Guideline
(Dec 2017)
Measures targeting assets
side:
- Shadow banking
tightening by CBRC (April
2017)
- Channel businesses
tightening by CSRC
(1H17)
- New rules on bank-trust
cooperation (Dec 2017)
- Broad credit requirement
in MPA to cap banks’
asset growth (1Q17)
- Entrusted Loan
Management Guideline
(January 2018)
- New rules on entrusted
bond investment
(January 2018) Measures
targeting on
general
businesses:
Establishment
of Financial
Stability and
Development
Committee
(Nov 2017)
Source: Deutsche Bank, CBRC, PBOC, Caixin
On the regulation side, since the first meeting of the Financial Stability and
Development Committee – the “super-regulator” coordinating financial
regulators – on 8 Nov 2017, the pace of releasing new regulations has
accelerated notably (Figure 2). This weekend, the CBRC released three
regulations targeting entrusted loans, banks’ concentration risks and
shareholding management. These regulations, in general, aim to crack down
on shadow banking by closing loopholes and reducing regulatory arbitrage.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 3
What makes this round of tightening different from the past is that – with the
new committee leading, these regulations are more coordinated. Starting
with The Asset Management Guideline, an overall guideline, the following
regulations are targeting particular sub-markets/sectors one-by-one and step-
by-step. Also, most regulations have considerable grace periods. So the
shocks to system liquidity should be largely manageable.
Figure 2: Tightening regulations have been released frequently post the establishment of the Financial Stability
Development Committee
March April May June July August September October November December January February
2017 2018
23 March - 12 April
3-3-4 Documents by
14-15 July
National Financial
Work Conference
14 August
Inclusion of interbank
CDs into MPS
8 November
The first meeting of Financial
Stability Developmnt
Commitee (FSDC)
17 November
Asset Management
Guideline
6 December
Liquidity Risk Management
Guidline
29 December
New Capital Rules over Asset
Management Companies
5 January
(1) Large-amount Risk Exposure
Management Guideline
(2) Circular 302 - regulations over
entrusted bond investment
6 January
Entrust Loan Manageement
Guideline over commercial banks
22 December
Guidelines over the
cooperation between banks
and trust companies
Accelerating pace of releasing regulations since FSDC's
first meeting
Source: Deutsche Bank, CBRC, PBOC
The establishment of the Financial Stability and Development Committee is
the biggest step in the financial deleveraging process, in our view. China
announced that it will set up a new and high-level committee during its fifth
National Financial Working Conference during 14-15 July 2017. This new
committee is led by one of China’s vice premiers (currently led by Premier Ma
Kai) and is set on top of the PBOC and other financial regulators. It is designed
to be the coordinating entity within the State Council on major issues related
to financial stability and financial reform and development.
We see the establishment of this new committee as a crucial step to
strengthening China’s financial regulatory framework and lowering systemic
risks. In the past, one of the key drivers to the proliferation of China’s shadow
banking has been its fragmented regulatory framework, as there has been a
lack of sufficient communication and coordination among the four financial
regulators. In some instances, there was even competition between regulators,
leading to aggressive expansion in some asset management products. A new
committee led by a more senior leader of government and set above existing
regulators should help improve regulatory coordination and curb the regulatory
arbitrage of financial institutions by closing loopholes and reducing regulatory
competition. In our view, this should contain growth and reduce the murkiness
of China’s shadow banking system.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 4 Deutsche Bank AG/Hong Kong
Figure 3: China’s regulatory framework is shifting towards being more coordinated, as the new committee has been
set up on top of all the current regulators
CBRC CSRC CIRC
Banks’ WMP(Rmb28tr)
Trust plans
(Rmb20tr)
Brokers’ AMPs
(Rmb18tr)
Public mutual fund
(Rmb10tr)
Fund and fund subs’ AMPs(Rmb15tr)
Private funds(Rmb9.5tr)
Insurance investment
funds(Rmb1.9tr)
PBOC
• Monetary policy• Macro-prudential assessment
China’s regulatory framework on asset management
businesses (in the past)
CBRC CSRC CIRC
Banks’ WMP(Rmb28tr)
Trust plans
(Rmb20tr)
Brokers’ AMPs
(Rmb18tr)
Public mutual fund
(Rmb10tr)
Fund and fund subs’ AMPs(Rmb15tr)
Private funds(Rmb9.5tr)
Insurance investment
funds(Rmb1.9tr)
PBOC
• Monetary policy• Macro-prudential assessment
China’s regulatory framework (at present)
Financial Stability and Development Committee
Source: Deutsche Bank, CBRC, CSRC, PBOC, CIRC
In detail, recent major regulations include:
The consultative draft for The Guideline on Asset Management
Businesses, released on 17 November 2017, targets the fast-growing
asset management sector with a total AUM of Rmb102tr (50% CAGR
during 20011-16), an essential part of shadow banking. It proposes
capping leverage, reducing duration mismatch, cutting down SPV
layers and removing implicit guarantees. We view it as a vital step in
continuing financial deleveraging. Near term, we see limited impact on
liquidity, as the regulations are largely expected, and there is a 19m
grace period. However, we see it as a long-term positive, as it raises
transparency and caps the growth in shadow banking. We expect a
divergent impact on banks, as it favors big banks while adding
pressure to smaller ones. See our report Asset Management Guideline
– Reshaping China’s shadow banking dated 20 November 2017.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 5
Figure 4: China’s asset management sector has proliferated in size and complexity in the past few years
Brokers' AM
schemes
(Rmb17.6trn)Trust investment
schemes
(Rmb17.5trn)
Public
mutual fund
(Rmb9.2trn)
Fund and fund
subsidiaries'
investment
schemes
(Rmb16.9trn)
Privatefunds
(Rmb10.2t
rn)
Retail investors (31%)
Corporates (18%)
Financial institutions (51%) Non-standard asset (36%) ~ Rmb37trn
Mutual fund (2%)
Others (11%)
Deposit and money market fund (15%)
Bond (29%)
Equity and other securities (7%)
Funding Source Underlying Asset
Bank's WMP
(Rmb29trn)
Insurance
investment
schemes (1.7trn)
Total asset management industry AUM at Rmb102trn as of end-2016; or
Rmb60-70trn if stripping out overlap.
China's asset management sector
Source: Deutsche Bank estimates, PBOC, AMAC, Trust Association, CIRC, CBRC, “Blue Book of Asset Management 2017” Note: The size of squares represents the size of AUM.
The Guideline on Liquidity Risks of Commercial Banks, released on 6
December 2017, matches the Basel III standards of liquidity
management (e.g. LCR and NSFR) and introduces new measures. We
expect this regulation to lower banks’ duration mismatch, cut off
wholesale funding and reduce investment in shadow banking assets.
As such, we see a net positive over the longer run, as it reduces
systemic liquidity risks. However, near term, the banks that are
wholesale-funded and shadow-banking-centric are likely to be subject
to NIM pressure. See our report Liquidity Risk Management Guideline –
Divergence continues dated 6 December 2017.
Figure 5: Summary of liquidity risk measures – 2017 version
Liquidity risk measures Applicable banks Calculation Minimum requirement Phase-in
period
Liquidity coverage ratio (LCR) Bank asset >= Rmb200bn High Quality Liquid Assets (HQLA) / net
cash outflows in next 30 days
90% by 2017 and 100% by 2018 2017-2018
Net stable funding ratio (NSFR) Bank asset >= Rmb200bn Stable funding available / stable
funding needed
100% NA
Liquidity ratio (LR) All banks Liquid assets / liquid liabilities 25% NA
Liquidity matching ratio (LMR) All banks Weighted funding sources / weighted
funding uses
90% by 2018 and 100% by 2019 2017-2019
High quality liquid assets (HQLA)
adequacy ratio
Bank asset < Rmb200bn HQLA / short-term cash outflows 70% by June 2018 and 100% by end-
2018
2017-2018
Loan to deposit rate (LDR) All banks Loans / deposits 75% cap removed in June 2015 NA
Source: Deutsche Bank, CBRC
Evolving MPA framework – inclusion of off-BS WMP and interbank
CDs. PBOC has introduced a macro-prudential assessment (MPA)
framework since 2016 to better monitor financial stability and
strengthen discipline in financial institutions. Among the seven
components under the MPA framework, we believe the introduction of
broader credit (including not only loans, but also bond investments,
interbank assets and shadow banking) and macro-prudential capital
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 6 Deutsche Bank AG/Hong Kong
adequacy are particularly impactful, as these measures largely
constrain the aggressive asset expansion of smaller financial
institutions. More importantly, the MPA framework has continued to
evolve. Two major changes have been made: off-BS WMPs have been
included in broader credit since 2017 and interbank CDs will be
included in interbank liabilities, which are capped at one-third of total
liabilities, starting from 1Q18.
The Guidelines on Banks-Trust Cooperation: single-fund trusts are
generally viewed as the channel business from banks’
WMPs/proprietary investment, which came in at Rmb11.5trn as of
3Q17 (5% of system credit). The new rule stipulates that commercial
banks must take the main responsibility of fund management, usage
and risk control. It also emphasizes a proper level of capital charge
and provision charge.
The Guidelines on Entrusted Loans: as of November 2017, system
entrusted loans came in at Rmb13.9trn (6% of system credit). Major
highlights of the new rule include (1) prohibiting licensed lending
institutions as entrusted loan lender, and (2) restricting asset
management entity as entrusted loan lender, aimed at capping the
development of non-standard credit asset and containing shadow
banking expansion.
Figure 6: Single fund trust vs. yoy growth Figure 7: Industry entrusted loan vs. yoy growth
0%
20%
40%
60%
80%
100%
0
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Single Fund Trust AUM (Rmb bn)
YoY growth rate (RHS)
(Rmb bn)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
16,000Entrusted loan balance
YoY growth rate
(Rmb mn)
Source: Deutsche Bank, Trust Association
Source: Deutsche Bank, PBOC
Circular 302 – regulations over entrusted bond investment: Entrusted
bond investment is essentially a financial institution moving a bond
investment off balance sheet so as to leverage up and bypass
regulations. It is conducted through an OTC repurchase transaction.
According to Caixin, entrusted bonds could account for 15% of cash
bond transactions, with an estimated balance of Rmb12trn. New rules
regulate that bond sellers with repurchase agreements need to include
those bonds sold to other financial institutions into their own capital
calculation, which basically prohibits entrusted bond investment.
Large-amount Risk Exposure Management Guideline: This renews
the regulation on commercial banks’ lending exposure to single
corporate/interbank customers, with the aim of further capping the
concentration risk. The major focus is the ceiling of single interbank
client exposure, which has been lowered to 25% of tier 1 capital vs.
the previous 50%.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 7
New capital rules over asset management companies (AMCs): On 29
December 2017, CBRC announced capital management measures for
asset management companies (AMCs), effective from 1 January 2018,
which formalize AMCs’ capital/leverage requirement at both the
company and group level. The document keeps 9%/10%/12.5% CET-
1/tier-1/CAR requirement for parent company, but lifts minimum group
leverage from 6% to 8% (before 2020).
Monetary policy: higher rates but ample liquidity with pre-emptive measures
China’s monetary policy has shifted gradually towards a tightening stance
since the beginning of 2017. PBOC has hiked rates of monetary tools three
times by 25bps in aggregate in the past 12 months. These actions have pushed
up interbank rates and bond yields, and subsequently translated gradually to
lending and the shadow banking market (Figure 8). Higher market rates
narrowed the spread earned by levered financial institutions, and in some
transactions, the spread is even negative. This forced smaller banks to de-lever.
Looking ahead, our rates strategist Liu Linan expects a hike total of 20-45bps
in OMO rates until 2018 and 7D benchmark repo fixing rate to range between
2.85-3.50% (see her note). This should further push up interbank rates, bond
yield and loan yield. However, we do not expect PBOC to hike benchmark
loan/deposit rates, which anchor the pricing for 50% of banking assets and
65% of liabilities. Leverage in the real economy remains high, and economic
growth is likely to slow modestly. Thus, we do not believe a hike in benchmark
rates is justified. However, inflation is the key risk. If PBOC was forced to hike
the rate due to heightened inflation, the market might be concerned on the
asset quality issue of the banking system.
Figure 8: Rate transmission framework in China – from PBOC liquidity facilities to shadow banking
25
34
106
49
84
O M O 7 D R A T E D R 0 0 7 1 0 Y T R E A S U R Y B O N D
Y I E L D
N E W N O N - B I L L
C O R P O R A T E L O A N R A T E
T R U S T Y I E L D
2017 YTD RATE INCREASE (BP)
PBOC injection
(OMO/MLF/SLF etc.)
Money market
(DR007/R007/GC007
etc.)
Bond market
(Treasury/corporate/
CDs etc.)
Lending market
(Corporate
loan/mortgage/bills)
Shadow banking
market
(Trust/WMP/P2P)
Total size: Rmb10.5trn Total size: Rmb12trn Total size: Rmb71trn Total size: Rmb120trn Total size: Rmb48trn
Rate transmission framework in China
Source: Deutsche Bank, WIND, CEIC, PBOC Note: interest rate data is as of late December 2017 except for non-bill corporate loan (as of Sept 2017). Each market size data is latest available data.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 8 Deutsche Bank AG/Hong Kong
Figure 9: After hike of 25bps in 2017, we expect PBOC to
hike OMO rate by another 20-45bps in 2018
Figure 10: Meanwhile, DR007 is likely to rise to a higher
range of 2.85-3.50%
2.25
2.50
2.40
2.602.55
2.80
2.90
2.00
2.20
2.40
2.60
2.80
3.00
3.20
3.40
3.60
3.80
4.00
Jan-1
5
Mar-
15
May-1
5
Jul-1
5
Se
p-1
5
No
v-1
5
Jan-1
6
Mar-
16
May-1
6
Jul-1
6
Sep
-16
No
v-1
6
Jan-1
7
Ap
r-1
7
Jun
-17
Au
g-1
7
Oct-
17
Dec-1
7
PBOC's reverse repo rate
7-D 14-D 28-D 63-D
(%)
up by 20-
45bps by
2018
2.93
2.00
2.20
2.40
2.60
2.80
3.00
3.20
3.40
3.60
DR007(%)
Currently PBOC keeps DR007 at 2.75-3.00%
We expect DR007 to
rise to 2.85-3.50%
Source: Deutsche Bank estimates, PBOC, WIND
Source: Deutsche Bank estimates, PBOC, WIND Note: DR007 refers to 7D benchmark repo fixing rate
However, liquidity volume should stay ample, as we believe that while
tightening, PBOC also needs to prevent systemic risks. Indeed, in 2017, the
PBOC injected Rmb1.6tr liquidity mainly via MLF and PSL (Figure 11 and 12).
This is equivalent in size to a 100bps RRR cut or sufficient to fund 10% of
banking asset expansion.
Figure 11: Changing size and composition of PBOC
balance sheet – rising liquidity injection to banks
Figure 12: PBOC’s lending to banking system is rising,
driven by MLF mainly
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
FX reserves Claims on depository corporations Other(Rmb bn)
Rapid
growth in
liquidity
provision
to banks
-1,000
1,000
3,000
5,000
7,000
9,000
11,000OMO/ Other PSL MLF
Source: Deutsche Bank, PBOC
Source: Deutsche Bank
The liquidity injection was also coupled with a few pre-emptive liquidity
measures, such as the recent relaxation on automated pledged financing and
the temporary RRR cut during Chinese New Year. So we expect a relatively
remote likelihood of a bank run in the wholesale funding market.
Relaxation in Automated Pledge Financing: automated pledge
financing will be triggered by a liquidity event of a particular financial
institution, i.e. when a financial institution runs out all reserves but still
fails to meet settlement obligations. Relaxations of the new rule
include (1) higher financing limits, i.e. the maximum financing line of
joint stock banks and other smaller city/rural banks has been lifted to
10%/15% of paid-in capital from the previous 2%/5%, (2) standardized
interest rate: this will be based on overnight SLF rates, (3) larger
scope of eligible bonds for pledge: the scope has been expanded to
local government bonds and other securities accepted by PBOC, in
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 9
addition to central government bonds and policy banks financial
bonds.
Temporary RRR cut: this aims to meet the temporary liquidity demand
of banks during Chinese New Year, and facilitate the smooth operation
of the money market. According to the new rules, national commercial
banks with large cash injections can withdraw up to 2% of the deposit
reserve temporarily for up to 30 days. This temporary RRR cut would
help release Rmb1.5-2.0trn liquidity for one month per our calculation.
What are the implications for the entire system?
Over the longer run, we see most of these above-mentioned deleveraging
measures as positive and necessary steps to strengthen China’s financial
stability. In the near term, for the financial system, we expect slower banking
asset growth, modest yield curve steepening and a lower actual risk-free rate.
For the real economy, we forecast moderate credit growth with shrinking
shadow banking and hence, slower economic growth. However, it should
come with the benefit of a slower build-up in leverage and better transparency.
While some highly-levered banks and NBFIs will almost inevitably be hurt,
the financial deleveraging campaign generates net positive to the financial
system and real economy as a whole.
Impacts on the financial system Slower banking asset growth (Figure 13), with reducing interbank
liabilities and assets (Figure 13). We expect banking asset growth to
hover around the high single digits in 2018 and some smaller banks to
shrink their balance sheets further.
Figure 13: China banking asset growth is likely to slow, driven by reducing interbank businesses
15.2%
9.2%8.0%
13.0%
18.0%
23.0%
28.0%
33.0%
China banking assets yoy growth
4,269
3,519
2,897
430
340
54
(2,219)
(5,000) - 5,000
Credit to households
Credit to government
Credit to corporate
Other assets
Cash and deposits with PBOC
Credit to NBFIs
Credit to interbank and PBOC
Rmb bn
China banking balance sheet - Changes in balance during Mar-Oct 2017
Assets
3,522
1,810
1,761
1,735
793
(1,253)
(2,000) - 2,000 4,000
General deposits
Other liabilities
Borrowing from
PBOC
Borrowing from
NBFIs
Bond issuance
Borrowing from
interbank (incl.
interbank CD)
Liabilities
Source: Deutsche Bank estimates, PBOC, WIND
Shrinking asset management AUM, leading to shortened financing
chains. We believe the fast-growing shadow banking is a reflection of
lengthened financing chains, i.e. the credit would have to go through
multiple layers of SPVs from the funding providers to the ultimate
borrowers. To measure the length of financing chains, we can look at
financial assets to M2 ratio, where financial assets include all banking
assets and NBFIs’ asset management product AUM. On a stock basis,
China’s total financial assets accounted for 2.1x M2 balance,
suggesting there are slightly more than two layers to package the
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 10 Deutsche Bank AG/Hong Kong
financing in China (Figure 14). On a flow basis (Figure 15), the layers of
SPVs to package new credit, which once surged to 4.3x in 2016, citing
every 1 dollar M2 creation, would need an incremental 4.3 dollars of
financial assets. However, post a series of tightening regulatory
treatment in 2H16, this has come down notably to only 1.1x in 2Q17.
We expect the ratio on a flow basis to fall below 0 in 2018.
Figure 14: Financial assets have grown faster than M2,
suggesting a lengthening chain of financing…
Figure 15: …but financing chains have started to shorten
since 1Q17 due to tighter regulations
1.8x
1.8x
1.9x
2.0x
2.1x 2.1x2.1x
1.6x
1.7x
1.7x
1.8x
1.8x
1.9x
1.9x
2.0x
2.0x
2.1x
2.1x
2.2x
-
50
100
150
200
250
300
350
400
2014 1H15 2015 1H16 2016 1Q17 2Q17
Rm
b t
r
Total financial assets (banking assets + NBFI AUM)
M2
Financial assets/M2 (x, RHS)
2.53x
3.93x
3.09x
4.26x
1.99x
1.10x
0.60x
1.10x
1.60x
2.10x
2.60x
3.10x
3.60x
4.10x
4.60x
1H15 2015 1H16 2016 1Q17 2Q17
Δ (banking asset + asset management plans) / ΔM2 (x)(x)
Source: Deutsche Bank, CBRC, PBOC, CSRC, AMAC
Source: Deutsche Bank, CBRC, PBOC, CSRC, AMAC
Modest yield curve steepening. China’s yield curve in the bond
market has steepened since July 2017, with the spread between 5Y
CGB and 1Y CGB expanding by nearly 50bps. Looking into 2018, we
expect the yield curve to modestly steepen from its current level. Two
main drivers: 1) tighter regulations on asset management and liquidity
risks are likely to force banks and NBFIs to unwind investment in high-
liquid assets and to trim the incremental demand for long-term bonds
and hence, will push up the long bond yield and 2) the inclusion of
interbank CDs into MPA from 1Q18 is likely to reduce the issuance of
interbank CDs, which may cap the upside of the short-term bond yield.
Figure 16: Chinese treasury yield difference in the past 10 years: (10Y – 5Y) versus (5Y – 1Y)
-1.00
-0.50
0.00
0.50
1.00
1.50
2.00
Difference: 10-year vs 5-year treasury yield Difference: 5-year vs 1-year treasury yield(%)
Sept-Dec 2008 PBOC cut benmark
lending/deposit rate and RRR to
weather the downturn in global
financial crisis
2Q-3Q13 Liquidity shock caused by
tightening restriction on banks' WMPs
invesmtent and transaction with
proprietary account, pushing market
rate hike
Oct 2010 - July 2011 PBOC lift up
benchmarkt deposit and RRR
4Q 2010 PBOC lower down RRR
by 50bps to deal with risks
arose from European bond
market
4Q2011-2Q2012 150bp
RRR cut
PBOC injected
liquidity into the
market to cool down
rising market rate
PBOC lower down RRR,
benchmark deposit rate
consecutively in June 2014- Feb
2016
High volatility in equity market,
combined with pressures of
economic growth slowdown, rising
demand of hedging, dragged long-
term yield decline
Rising market rate on
tightening regulatory on
WMPs and shadow banking
3Q17: ST
liqudiity demand
slowed down,
long term yield
up on stable
economic
outlook
???
???
Source: Deutsche Bank, CEIC, PBOC, China Bond
WMP rate to fall, leading to a lower actual risk-free rate and better
risk-pricing. In the past, banks used their own capital or asset pool
operation to provide implicit guarantees on principal and return of
WMPs, which actually lifts the risk-free rate and pushes up the social
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 11
financing cost. This also deepens the moral hazard risk, as WMP
buyers generally expect implicit guarantees from banks. Post the new
regulations, we expect banks’ WMPs to transform into something
similar to close-end mutual funds. In this process, banks’ WMP yield
would gradually come down, as the WMPs invest in low-risk assets
with less duration mismatch. This should help lower the actual risk-
free rate and strengthen risk pricing and monetary policy transmission,
thus improving the capital allocation in the system.
Figure 17: WMP yield is likely to fall, driving down the actual risk-free rate
-
1.0
2.0
3.0
4.0
5.0
6.0
7.0
Feb-09 Nov-09 Aug-10 May-11 Feb-12 Nov-12 Aug-13 May-14 Feb-15 Nov-15 Aug-16 May-17
DR007 3M WMP yield 10-year treasury yield Benchmark deposit rate - 1 year(%)
Source: Deutsche Bank estimates, WIND, CEIC, PBOC
Impacts on the real economy Slower credit growth, driven by shrinking shadow banking on
tighter regulations. We expect system credit growth, as measured by
total social financing adjusted for municipal bonds and equity
financing, to slow to 12-13% yoy by the end of 2018 from 14.4% yoy
now. This may add downward pressure on China’s economic growth.
Our China economists expect GDP growth to slow to 6.3% in 2018
and 2019 (see report). Credit-mix wise, we expect loan growth to
accelerate a bit towards about 14% yoy, offset by shrinking shadow
banking. Specifically, we expect banks’ WMP and various asset
management schemes issued by NBFIs to shrink in absolute balance.
Figure 18: We expect China’s credit growth to moderate
to 12-13% yoy in 2018
Figure 19: China’s credit impulse is also likely to fall
17.2%
14.4%
10%
15%
20%
25%
30%
35%
40% TSF stock yoy TSF stock (adj.) yoy
c.12-13%
in 2018E
10%
15%
20%
25%
30%
35%
40%
45%
50%
55%
60%
TSF rolling 3 mth (SA) Average
18th NationalCongress Nov 17th National
Congress Oct 2007
19th NationalCongress Oct-Nov
2017
Source: Deutsche Bank estimates, PBOC, CBRC, WIND Note: Adjusted TSF refers to TSF plus municipal bonds minus equity financing.
Source: Deutsche Bank
Non-financial leverage continues to build, but at a slower pace. We
expect China’s debt-to-GDP ratio to increase to 294% by the end of
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 12 Deutsche Bank AG/Hong Kong
2019 from 276%, as of September 2017. However, given slower credit
expansion, the pace of leverage build-up is slowing, as shown in
Figure 20. While the increasing leverage in China is a long-term issue,
we do believe the debt structure is much more important than the
aggregate amount of debt. As we highlighted in our report Time to
accumulate big banks dated 20 July 2017, there are indeed
incremental improvements in China’s debt structure.
Modest increase in social financing cost, which is offset by better
corporate profitability and still-low real interest rates. With the gradual
transmission of higher market rates, the average borrowing cost of the
real economy increased modestly (Figure 21). Yet, due to elevated PPI,
the real borrowing cost is actually still in negative territory, suggesting
that a debt servicing burden for corporate is not a major issue as of
now. Looking ahead, as PPI is likely to fall in 2018 (still positive), the
real borrowing cost may increase modestly.
Figure 20: Non-financial leverage is likely to rise, but at a
slower pace
Figure 21: Social financing cost increased modestly, but
the real financing cost for borrowers is low
30
15
(2)
15
18
15
23 23
7 7 8
(5)
-
5
10
15
20
25
30
35
2009 2010 2011 2012 2013 2014 2015 2016 2017E 2018E 2019E
% yoy change in China's debt-to-GDP ratio
5.896.25
6.37
12.6
0.4
0.7
(0.5)-2.00
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
2011 2012 2013 1H14 2014 1H15 2015 1H16 2016 1H17 3Q17
Total social financing cost Real social financing cost (minus PPI)
Source: Deutsche Bank estimates, PBOC, CBRC, CIRC, SAFE, NBS, MOF, CEIC, WIND, Chinabond.com.cn, Trustee Association of China, SAC, HKMA, media reports
Source: Deutsche Bank estimates, PBOC, CBRC, CIRC, SAFE, NBS, MOF, CEIC, WIND, Chinabond.com.cn, Trustee Association of China, SAC, HKMA, media reports Note: Total social financing cost is calculated as the weighted borrowing cost of loans, bonds and shadow banking.
Credit allocations may continue to shift towards household and
governments. In the past two years, the corporate sector has
borrowed less while government and household were leveraging up
(Figure 22). We expect this shift in leverage to continue in 2018, with
the new credit mix being 30%, 30% and 40% for government,
household and corporate, respectively. There should be notable
changes in the mix of each sector. Household credit should shift from
mortgage-centric to consumption loans (especially credit cards).
Government credit should be more in the form of municipal bonds,
which should offset a notable slowdown in PPP and LGFV borrowing.
Within corporate credit, we expect the manufacturing sector to pick
up, partly offsetting the slowdown in infrastructure and property.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 13
Figure 22: China’s new credit breakdown
55
72
57
69 7266
54
6859 62
51
3843
10
15
16
9
1720
17
15
2019
20
25
29
12
825
7
10 11
11
1217 15
2737
2622
5 2
14
1 2
17
5 5 5 1 0 3
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
11M
17
China - New credit breakdown by borrowers
Government
Household
Corporate
30%
30%
40%
Source: Deutsche Bank estimates, PBOC, CBRC, WIND
What are the implications for individual banks?
Under the backdrop of policy tightening, we prefer banks with a strong
deposit franchise, less shadow banking exposure and solid capital positions.
They could benefit from higher market rates with NIM expansion, as they are
net interbank lenders. With solid capital, these banks could maintain asset
growth. Strong retail franchises make these banks key beneficiaries of
continued household leveraging-up.
In contrast, the rest of the corporate-oriented banks will likely continuously
be subject to capital and earnings pressure. As they are mainly wholesale-
funded, they will record either weaker NIM or slower/shrinking assets, leading
to weaker PPoP growth. Fee income growth is likely under pressure given
shrinkage in WMPs and other asset management products. Asset quality may
resurface as an issue, as we expect defaults to increase in shadow banking
credit.
Funding strength, especially in the deposit franchise, continues to be
the key differentiating factor (Figure 23 and Figure 24). Banks with a
strong deposit franchise, i.e. big four, CMB and CRCB, record lower
funding costs and are able to expand NIM when market rates rise. In
contrast, wholesale-funded banks may be subject to higher funding
cost. For instance, the yield of interbank CDs, on which smaller banks
are reliant to get financing, has shot up close to historical highs,
making limited or no spread for lending or investing (Figure 26).
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 14 Deutsche Bank AG/Hong Kong
Figure 23: Banks with strong deposit franchise should
benefit
Figure 24: Smaller banks rely more on wholesale funding
81%
53%
68%66%
8%
18%
15%
10%
3%
16%
7%
7%
7%
4%
6%
40%
50%
60%
70%
80%
90%
100%
Big-four Medium banks Small banks Banking system
Liabilities breakdown - 1Q17Other liabilities
Bond issuance
Borrowing from
PBOC
Borrowing from
NBFIs
Borrowing from
interbank (incl.
CD)
General deposits
11%
34%
22%
17%
44
3837 36 35
32 32 32 3028 28
23 22
14 1311
912
33
20
0
5
10
15
20
25
30
35
40
45
50
Wholesale funding as% of total liabilities - 3Q17(%)
Retail-oriteated
banks
Source: Deutsche Bank, WIND, PBOC, company data
Source: Deutsche Bank, company data
Figure 25: Retail-oriented banks have lower funding
cost…
Figure 26: … while smaller banks’ funding cost keep
rising, as evidenced by interbank CD yield
3.05
2.91
2.75 2.74 2.71 2.68 2.62 2.59 2.57 2.55
2.39 2.38
1.80 1.70
1.60 1.53 1.49
1.94
1.30
1.50
1.70
1.90
2.10
2.30
2.50
2.70
2.90
3.10
3.30
(%) Funding cost - 3Q17
Retail-oriteated
banks have lower
funding cost
5.295.33
2.50
3.00
3.50
4.00
4.50
5.00
5.50
6.00CDs Yield - 3M CDs Yield - 6M(%)
Source: Deutsche Bank, company data
Source: Deutsche Bank, company data
We conducted a sensitivity test on three groups of banks: big four,
listed joint-stock banks and 179 city/rural commercial banks. The test
concludes that joint-stock banks and city commercial banks are more
vulnerable to a market rate hike due to their higher financial leverage
and heavier reliance on non-core funding (Figure 27). In particular, a
50bps market rate hike would knock off 7% and 4% earnings for JSBs
and smaller banks, respectively. In contrast, this magnitude of a
market rate hike would bring a 1.3% earning boost to the big four
banks, given their net lending position in the interbank market. Figure
30 shows the market rate hike impacts on individual banks, with ABC
as the key beneficiary, while INDB, SPDB, MSB and CITIC Bank were
the most severely hit (>9% PBT impact).
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 15
Figure 27: Sensitivity – PBT impact from 50bps market
rate hike for three types of banks
Figure 28: Sensitivity – PBT impact from 50bps market
rate hike for individual banks
1.3
-7.2
-3.6
-8.0
-7.0
-6.0
-5.0
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
Big four banks Joint-stock banks (8
banks incl.)
Smaller banks (179
city+rural banks incl.)
PBT impact comparison among different bank types upon 50bps
market interest rate hike
(%)
-15.8
-9.4
-8.2 -8.1
-6.2-5.2 -4.7 -4.2 -3.7 -3.1 -3.0 -2.9
-0.3 -0.3
0.91.9
2.7
-1.4
-20.0
-15.0
-10.0
-5.0
0.0
5.0PBT impact on banks upon 50bps market interest rate hike
2016
(%)
Source: Deutsche Bank estimates, company data, Chinabond.com.cn
Source: Deutsche Bank estimates, company data
Shadow banking exposure is another factor leading to divergent
performance. Tighter regulations are likely to impose additional capital
pressure when banks are forced to set aside sufficient capital on their
shadow banking exposure (Figure 29).
A strong capital base determines banks’ ability to weather liquidity
and asset quality shocks and to secure sustainable asset growth
(Figure 30).
Figure 29: Big banks tend to have much less exposure to
shadow banking
Figure 30: Retail-oriented banks in general have stronger
capital
3533
2926
24
20 20 19 18 18 18 17
12
53 3 2 1
2
17
8
0
5
10
15
20
25
30
35
40
(% of assets)Listed banks' exposure to shadow credit - 1H17
Off B/S NSCA in WMPs Reverse repo backed by bills/TBRs
Negligible
exposure at big-
four banks
13.4 13.0 12.7
12.0
11.2 10.8 10.5
10.0 9.8 9.5 9.4 9.3 9.3 9.2 9.1 9.0 8.6
10.4
6.0
7.0
8.0
9.0
10.0
11.0
12.0
13.0
14.0
(%) Tier-1 capital ratio - 3Q17
Retail banks also have
stronger capital base
Source: Deutsche Bank, company data
Source: Deutsche Bank, company data
8 January 2018
Banks
Chinese banks - Financial deleveraging
Page 16 Deutsche Bank AG/Hong Kong
Valuation and risks
Valuation of Chinese banks
We value Chinese banks using a three-stage Gordon Growth Model (PV= (ROE-
g)/(COE-g)), with target prices based on 2018E book values.
Our valuations of the Chinese banks under our coverage assume a near-term
(2016-18E) ROE of 11.5-16.9%, a medium-term (2019-21E) ROE of 10.5-14.0%
and a terminal ROE of 8.0-12.0%, with a COE of 11.5-14.0%. In Figure 31, we
highlight our valuation comparison of the listed banks.
On our estimates, H-share/A-share listed Chinese banks are trading at 2018E
P/B of 0.79x/0.91x and 2018E P/E of 6.0x/7.0x.
Figure 31: Chinese banks’ valuation summary
Ticker Rating TP Price Upside Mkt. Cap
LC LC (%) (US$mn) 16A 17E 18E 16A 17E 18E 16A 17E 18E 16A 17E 18E 16A 17E 18E 16A 17E 18E
ICBC-H 1398.HK Buy 7.52 6.56 14.6% 325,455 7.5 6.9 6.4 1.1 0.9 0.8 4.6 4.0 3.5 15.2% 14.2% 13.8% 1.20% 1.14% 1.13% 4.0% 4.4% 4.8%
CCB-H 0939.HK Buy 8.87 7.61 16.6% 245,329 7.3 6.6 6.2 1.1 0.9 0.8 4.3 3.7 3.3 15.5% 14.6% 14.1% 1.18% 1.13% 1.11% 4.1% 4.6% 4.9%
ABC-H 1288.HK Buy 4.73 3.91 21.0% 190,759 6.3 5.6 5.2 0.9 0.8 0.7 3.6 3.1 2.7 15.1% 14.4% 14.0% 0.99% 0.94% 0.92% 4.9% 5.5% 5.9%
BOC-H 3988.HK Buy 5.25 4.02 30.6% 172,274 6.6 5.8 5.4 0.8 0.7 0.6 3.4 3.1 2.7 12.5% 12.3% 12.2% 1.05% 1.03% 1.03% 4.7% 5.4% 5.8%
BCOM-H 3328.HK Buy 7.29 5.98 21.9% 64,765 5.9 5.4 5.1 0.7 0.6 0.5 3.4 3.2 2.9 12.2% 11.4% 11.2% 0.87% 0.81% 0.79% 5.1% 5.5% 5.9%
CMB-H 3968.HK Hold 31.38 32.60 -3.7% 114,838 11.6 9.8 8.7 1.8 1.5 1.3 5.0 4.5 4.1 16.3% 16.3% 16.2% 1.09% 1.12% 1.16% 2.6% 3.1% 3.4%
CITIC Bank-H 0998.HK Hold 5.28 5.04 4.8% 43,391 5.2 4.9 4.8 0.6 0.5 0.5 2.0 1.9 1.8 12.6% 11.5% 10.8% 0.75% 0.70% 0.71% 4.8% 3.0% 3.1%
Minsheng-H 1988.HK Hold 8.68 8.01 8.4% 46,272 5.4 5.0 5.1 0.8 0.7 0.6 2.5 2.6 2.4 15.1% 13.8% 12.2% 0.94% 0.86% 0.88% 4.0% 3.0% 2.9%
CEB-H 6818.HK Hold 3.72 3.71 0.3% 31,294 5.2 4.9 4.8 0.7 0.6 0.5 2.4 2.3 2.1 13.8% 12.6% 11.5% 0.85% 0.76% 0.75% 3.0% 0.0% 0.0%
CRCB 3618.HK Buy 7.00 5.81 20.5% 6,910 6.0 5.5 4.9 0.9 0.8 0.7 3.6 3.1 2.7 16.0% 15.1% 14.6% 1.05% 1.05% 1.09% 3.9% 3.6% 4.1%
Huishang 3698.HK Sell 3.49 4.12 -15.3% 5,822 5.9 5.3 4.9 0.9 0.7 0.6 2.7 2.5 2.2 15.8% 14.6% 13.7% 0.99% 0.93% 0.93% 1.7% 1.9% 2.0%
BOCQ 1963.HK Hold 6.50 6.41 1.4% 2,563 5.1 4.4 4.1 0.7 0.6 0.6 2.5 2.3 2.1 15.5% 15.0% 14.3% 1.01% 0.98% 0.98% 5.1% 5.9% 6.3%
H-share sector mean 7.2 6.5 6.0 1.0 0.9 0.8 4.0 3.5 3.1 14.7% 14.0% 13.5% 1.08% 1.04% 1.03% 4.2% 4.5% 4.8%
ICBC-A 601398.SS Buy 6.50 6.08 6.9% 325,455 7.9 7.7 7.2 1.2 1.0 0.9 4.8 4.5 3.9 15.2% 14.2% 13.8% 1.20% 1.14% 1.13% 3.9% 4.0% 4.3%
CCB-A 601939.SS Buy 7.67 7.68 -0.1% 245,329 8.3 8.0 7.5 1.2 1.1 1.0 4.9 4.5 4.1 15.5% 14.6% 14.1% 1.18% 1.13% 1.11% 3.6% 3.8% 4.0%
ABC-A 601288.SS Hold 4.09 3.87 5.7% 190,759 7.0 6.7 6.2 1.0 0.9 0.8 4.0 3.7 3.2 15.1% 14.4% 14.0% 0.99% 0.94% 0.92% 4.4% 4.6% 4.9%
BOC-A 601988.SS Buy 4.54 3.98 14.1% 172,274 7.4 6.9 6.4 0.9 0.8 0.8 3.8 3.7 3.3 12.5% 12.3% 12.2% 1.05% 1.03% 1.03% 4.2% 4.5% 4.9%
BCOM-A 601328.SS Hold 6.30 6.28 0.3% 64,765 7.0 6.9 6.4 0.8 0.8 0.7 4.1 4.0 3.6 12.2% 11.4% 11.2% 0.87% 0.81% 0.79% 4.3% 4.4% 4.7%
CMB-A 600036.SS Hold 27.13 30.10 -9.9% 114,838 12.2 10.9 9.7 1.9 1.7 1.5 5.2 5.0 4.6 16.3% 16.3% 16.2% 1.09% 1.12% 1.16% 2.5% 2.7% 3.1%
CITIC Bank-A 601998.SS Sell 4.56 6.44 -29.2% 43,391 7.6 7.6 7.4 0.9 0.8 0.8 2.9 2.9 2.8 12.6% 11.5% 10.8% 0.75% 0.70% 0.71% 3.3% 2.0% 2.0%
Minsheng-A 600016.SS Sell 7.51 8.60 -12.7% 46,272 6.6 6.5 6.6 0.9 0.8 0.8 3.1 3.3 3.1 15.1% 13.8% 12.2% 0.94% 0.86% 0.88% 3.3% 2.3% 2.3%
SPDB 600000.SS Hold 13.61 12.69 7.2% 57,407 5.3 5.2 5.2 0.8 0.7 0.6 2.3 2.2 2.0 16.5% 14.5% 12.9% 0.94% 0.87% 0.83% 1.6% 1.6% 1.6%
Industrial Bank 601166.SS Sell 16.38 17.20 -4.8% 55,070 6.3 6.0 5.9 1.0 0.9 0.8 2.9 3.3 3.1 17.1% 15.8% 14.1% 0.89% 0.88% 0.87% 3.5% 1.7% 1.7%
CEB 601818.SS Sell 3.22 4.12 -21.8% 25,279 6.6 6.6 6.4 0.9 0.8 0.7 3.0 3.0 2.9 13.8% 12.6% 11.5% 0.85% 0.76% 0.75% 2.4% 0.0% 0.0%
Ping An Bank 000001.SZ Hold 10.89 13.30 -18.1% 35,196 10.1 9.9 9.4 1.3 1.1 1.0 3.0 3.0 2.7 13.1% 12.0% 11.4% 0.83% 0.79% 0.77% 1.2% 1.5% 1.6%
Bank of Beijing 601169.SS Buy 9.69 7.29 32.9% 23,755 6.3 7.2 6.6 0.9 1.0 0.9 3.3 3.5 3.1 14.9% 14.0% 13.8% 0.90% 0.86% 0.86% 3.4% 3.0% 3.3%
Bank of Nanjing 601009.SS Sell 6.21 7.83 -20.7% 10,236 5.9 7.5 7.1 0.9 1.1 1.0 2.5 3.9 3.5 16.2% 15.8% 14.6% 0.86% 0.79% 0.75% 3.3% 2.7% 2.8%
Bank of Ningbo 002142.SZ Sell 10.81 18.17 -40.5% 14,197 9.3 10.6 9.7 1.6 1.7 1.5 4.7 5.8 5.1 17.7% 17.7% 16.8% 0.98% 0.96% 0.94% 1.9% 1.7% 1.9%
A-share sector mean 7.8 7.5 7.0 1.1 1.0 0.9 4.1 4.0 3.6 14.7% 13.9% 13.4% 1.04% 1.00% 0.99% 3.5% 3.5% 3.7%
Div. Yield (%)ROAAROAEP/PPOPP/B (x)P/E (x)
Source: Deutsche Bank estimates, Bloomberg Finance LP; Note: market cap is sum of A and H shares; data as of 5 January 2017
Risks for Chinese banks
Key sector risks for Chinese banks CPI picks up and the PBOC is forced to hike benchmark rates: a
potential benchmark rate hike in the near term would likely be more
harmful to corporates (higher interest burden), which cannot be fully
offset by profitability recovery under better economic growth,
considering that corporates’ leverage ratio remains at a higher level, in
spite of the mild improvement recently.
Disorderly deleveraging: the government could place disorderly
deleveraging requirements on certain industries, which might
unexpectedly lead to a bank run and squeeze banks’ wholesale
funding.
8 January 2018
Banks
Chinese banks - Financial deleveraging
Deutsche Bank AG/Hong Kong Page 17
Over-tightening in real estate and infrastructure: If both industries
saw unfavorable credit conditions, the overall banking system might
have little chance of avoiding asset quality deterioration.
Significant property price corrections: NPL ratios usually surge
following an over-correction in property market prices, according to
historical experience. For example, Wenzhou’s NPL ratio surged
4.3ppt to 4.7% accompanying a 47% price correction in the city’s
property market.
Larger-than-expected DES size, given potentially stronger
government invention: Without strict selection criteria on the viability
of target companies, it could potentially “evergreen” the debts of
“zombie” companies, worsen capital allocation and raise investment
risk for banks.
Key upside risks for the sector:
Removal of the softening of GDP targets: In the long run, we believe
this movement will likely be meaningfully positive to banks’ RoE/RoA,
as most of the legacy NPLs are disposed within the near term (two to
three years) and banks should have notably lighter credit cost burdens
in the future.
More aggressive SOE reform to push forward privatization: SOEs are
likely to be more market-oriented, profitability might be better and
asset quality will likely recover accordingly. As of now, we are seeing
improving conditions at industrial SOEs, while non-industrial SOEs still
seem to be struggling. We are closely tracking SOEs’ profitability and
ROE.
Pick-up in private investment by further deregulation and favorable
policies: Private companies in general are more productive and
efficient than SOEs. A leading indicator could be a pick-up in private
companies’ debt growth, which is muted for now.
The authors of this report wish to acknowledge the contribution made by Vivian
Xu, an employee of Evalueserve, a third-party provider to Deutsche Bank of
offshore research support services.
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Appendix 1
Important Disclosures
*Other information available upon request
Prices are current as of the end of the previous trading session unless otherwise indicated and are sourced from local exchanges via Reuters, Bloomberg and other vendors . Other information is sourced from Deutsche Bank, subject companies, and other sources. For disclosures pertaining to recommendations or estimates made on securities other than the primary subject of this research, please see the most recently published company report or visit our global disclosure look-up page on our website at http://gm.db.com/ger/disclosure/DisclosureDirectory.eqsr. Aside from within this report, important conflict disclosures can also be found at https://gm.db.com/equities under the "Disclosures Lookup" and "Legal" tabs. Investors are strongly encouraged to review this information before investing.
Analyst Certification
The views expressed in this report accurately reflect the personal views of the undersigned lead analyst about the subject issuers and the securities of those issuers. In addition, the undersigned lead analyst has not and will not receive any compensation for providing a specific recommendation or view in this report. Hans Fan
Equity rating key Equity rating dispersion and banking relationships
Buy: Based on a current 12- month view of total share-holder return (TSR = percentage change in share price from current price to projected target price plus pro-jected dividend yield ) , we recommend that investors buy the stock.
Sell: Based on a current 12-month view of total share-holder return, we recommend that investors sell the stock
Hold: We take a neutral view on the stock 12-months out and, based on this time horizon, do not recommend either a Buy or Sell.
Newly issued research recommendations and target prices supersede previously published research.
57 %
33 %
10 %17 % 18 % 13 %0
100
200
300
400
500
600
Buy Hold Sell
Asia-Pacific Universe
Companies Covered Cos. w/ Banking Relationship
8 January 2018
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Deutsche Bank AG/Hong Kong Page 19
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The information and opinions in this report were prepared by Deutsche Bank AG or one of its affiliates (collectively
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David Folkerts-Landau Group Chief Economist and Global Head of Research
Raj Hindocha Global Chief Operating Officer
Research
Michael Spencer Head of APAC Research
Global Head of Economics
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Paul Reynolds Head of EMEA
Equity Research
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Equity Research
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Equity Derivatives Research
Andreas Neubauer Head of Research - Germany
Spyros Mesomeris Global Head of Quantitative
and QIS Research
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