China and emerging currency index World: Exchange rates ......2015/09/10 · China’s economic...
Transcript of China and emerging currency index World: Exchange rates ......2015/09/10 · China’s economic...
1 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Weekly Economic Briefing
Emerging Markets China-related currency risks: who is most vulnerable?
China’s unexpected decision to allow its currency to depreciate on August 11 has intensified
global currency risks. Currencies most at risk of weakening in the months ahead include those of
countries with large trade links to China, weak fundamentals and – especially – high sensitivity to
global commodity prices. The major currency most vulnerable is the Australian dollar. Among
emerging countries Brazil, Chile, South Africa and Malaysia are among those in danger.
There has already been a sell-off in many currencies in the wake of the China devaluation but this is not
necessarily the end of the story. China’s economic slowdown may yet have further to go, and the danger
of further currency depreciation in China is quite significant. In addition, some emerging countries such
as Argentina have yet to see the China effect impact on their currencies – but are likely to.
So far, trade links to China have not correlated well with currency moves since August 11. This in part is
due to many of China’s closest trading partners having large current account surpluses and managed
exchange rates. Current account positions also help explain other recent features of currency markets
such as the strengthening of the euro and yen and the poor performance of the Turkish lira.
China devaluation raises FX risk…
China’s unexpected decision to allow its currency to
depreciate on August 11 was a shock to world financial
markets generally and has intensified global currency
risks. Both advanced and emerging currencies have
been significantly affected, with measures of currency
volatility rising.
6.10
6.15
6.20
6.25
6.30
6.35
6.40
6.45
70
72
74
76
78
80
82
84
86
88
Aug-14 Dec-14 Apr-15 Aug-15
China and emerging currency indexIndex, Dec 30 2010=100
Source : Oxford Economics/Haver Analytics
CNY/$ rate (RHS)
OE emerging currency index (LHS)
CNY/$
So far, China’s depreciation has been small, at around
3%. But this modest move nevertheless set off a chain
reaction of currency moves elsewhere. Our OE emerging
market currency index (based on 17 major emerging
currencies) has declined by 3.5% since August 10,
reinforcing a miserable existing trend that has seen the
index slump by 16% in the last year.
-10 -5 0 5
Brazil
Malaysia
South Africa
Turkey
Russia
Australia
Ukraine
Indonesia
Mexico
India
China
Taiwan
Korea
Chile
UK
Thailand
Philippines
Canada
Argentina
Poland
Switzerland
Eurozone
Japan
World: Exchange rates versus dollar% change in exchange rate versus US$ since August 10
Source : Oxford Economics/Haver Analytics
Some emerging currencies have fared rather worse than
this: the Brazilian real, Malaysian ringgit and South
2 2
10 Sep 2015
Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
Emerging Markets
African rand have slumped 7-8%, and the Russian rouble
and Turkish lira by about 6%.
There have been some big moves among the advanced
economy currencies as well. The Japanese yen has
gained over 4% versus the dollar and the euro put on as
much as 3% at one stage. Meanwhile, the Australian
dollar has fared badly, declining by over 5%.
…and risks remain
What factors have caused this pattern of currency
performance, and what do currency risks look like going
forward?
In our view, China’s devaluation has increased investor
concerns about Chinese growth prospects and caused
investors to reassess the economic outlook in other
emerging markets (EM) also. So there has been a
downward re-rating of EM assets, with countries thought
to be most vulnerable to the Chinese slowdown among
the worst losers.
0
10
20
30
40
50
60
70
80
90
2007 2008 2009 2010 2011 2012 2013 2014 2015
World: Equity volatilityVIX index
Source : Oxford Economics/Haver Analytics Investors have become more concerned about the
broader global growth outlook too, as evidenced by
widespread and significant declines in stock markets in
advanced economies and the sharp rise in equity
volatility, to the highest levels since the Eurozone crisis in
2010-11.
These factors have created a classic flight from risk to
‘safe haven’ advanced economy currencies such as the
yen, euro and Swiss franc. The US dollar has of course
gained too, with its trade weighted exchange rate rising
1.5% since August 10 – extending its gains over the last
year to some 15%.
After the big FX moves of the last few weeks, the natural
instinct is to assume that markets will relax again and
some part of these moves will unwind. This may indeed
occur in the short term but there are also good reasons
for thinking that there are risks of further big currency
moves over the coming months.
-100
-80
-60
-40
-20
0
20
40
60
80
100
2010 2011 2012 2013 2014 2015
Non-FDI capital flows (est.)
Trade balance
Services balance
FDI
Change in FX assets
China: Balance of paymentsUS$bn
Source : Oxford Economics/Haver Analytics In particular, there looks to be a real danger that
depreciation may extend further in China. Recent
evidence on growth in China has been unpromising – we
estimate ‘underlying’ GDP growth may be as low as 3-4%
– with policy measures to date having only a modest
impact.
Currency depreciation looks to be one of the better policy
choices, if the authorities want to increase stimulus,
especially as it arguably is less risky than the traditional
credit/fiscal stimulus options in terms of reinforcing the
structural distortions in the economy.
Moreover, there is evidence that depreciation pressures,
in the form of capital outflows, remain strong. We
estimate non-FDI capital outflows at around US$79 billion
in July but for August the number may be double that
with outflows persisting and even intensifying after the
August 11 depreciation. If the authorities continue to cut
interest rates and/or boost liquidity through cuts in bank
reserve requirements capital outflows may intensify and
have to be accommodated with some more depreciation.
Commodity exposure the key risk factor…
One way to assess China-related currency risks going
forward is to build a simple scorecard of vulnerability
indicators. We have done this for 21 emerging and
advanced economies, based on three indicators:
3 3
10 Sep 2015
Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
Emerging Markets
The share of a country’s exports going to China: a
variable which aims to capture the potential impact of
direct trade links with China.
Net commodity (oil and non-oil) exports of a country
as a % of GDP: a variable that aims to capture the
impact of China-related declines in commodity prices, a
key transmission channel from a weaker China to the
world economy given China’s dominant position in many
commodity markets.
The current account deficit as a % of GDP: a variable
that aims to capture the potential risks to a country from
an interruption of capital inflows related to a reduced
global risk appetite. Current account deficits can also
indicate weak domestic fundamentals or serious
economic imbalances which might lead investors to take
a dim view of a country.
We rank our sample of countries by each indicator and
then derive an overall risk rank based on a simple
average of the indicators. The results indicate that the
riskiest advanced currency is the Australian dollar.
Australia is a large commodity exporter and remarkably
now sends more than a third of its exports to China.
Australia’s current account is also in deficit to the tune of
3% of GDP. The UK and Canada meanwhile fall in the
‘moderately risky’ zone; both have large current account
deficits while Canada is a net commodity exporter.
Among the emerging currencies, the riskiest are the
currencies of Brazil, Chile, South Africa, Indonesia,
Argentina and Malaysia. All are significant commodity
exporters, several are strongly exposed to direct trade
with China and all but Malaysia have deficits on the
current account.
At the other end of the scale, the least risky countries
include the Eurozone, Poland, India, Korea, and Taiwan.
All are net commodity importers (whose terms of trade
should improve from falling commodity prices) and most
have current account surpluses.
The risk scores generated by this framework correlate
quite well with actual currency performance since August
10; the simple correlation coefficient is about 0.5. There
are some notable ‘anomalies’, however, which are worthy
of attention.
Among the riskiest countries, Argentina stands out as
having seen only limited FX depreciation. This is
surprising given the country’s weak fundamentals and
exposure to soybean prices which are China-sensitive.
Argentina’s currency is a managed one, however. It may
well be the case simply that depreciation pressures are
simply being ‘stored up’. The risk of a sharp correction in
the currency looks to be high over the coming months,
once the October elections are out of the way.
Exports to China, Net commodity Current account, Overall risk Currency change vs.
% of total exports, % of GDP % of GDP rank US$ since Aug 10, %
Australia 33.7 9.4 -2.9 1 -5.3
Brazil 18.0 3.9 -4.2 2= -8.1
Chile 24.4 16.6 -0.3 2= -2.4
South Africa 9.6 2.2 -5.3 4 -6.7
Indonesia 11.9 6.5 -2.4 5 -4.6
Argentina 6.8 8.1 -2.4 6 -1.1
Malaysia 13.5 9.0 2.9 7 -7.3
Canada 3.7 6.0 -4.4 8 -1.3
UK 4.1 -2.8 -5.2 9= -2.1
US 7.7 -1.6 -2.3 9= 1.5
Russia 6.7 17.4 4.9 11 -6.0
Turkey 1.8 -3.6 -5.0 12 -6.4
Japan 18.0 -6.6 2.4 13 3.8
Mexico 1.5 1.4 -2.1 14= -4.0
Thailand 11.9 -2.9 4.2 14= -2.1
Philippines 12.0 -5.2 4.4 16= -2.1
Taiwan 27.0 -13.8 15.3 16= -2.9
Korea 26.0 -14.8 7.9 18 -2.7
India 4.2 -5.4 -1.3 19 -3.5
Eurozone 6.4 -4.0 2.7 20= 1.0
Poland 1.0 -1.9 0.1 20= 0.6
Notes: Exports to China in 2014, commodity exports average 2010-13, current account 2015 OE forecast
Overall risk rank based on simple average of ranks of each indicator
US currency change is trade-weighted dollar
4 4
10 Sep 2015
Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
Emerging Markets
...with trade links less important – so far
Another apparent anomaly is that many of the countries
with large direct trade links to China have not seen strong
depreciation. Indeed, there is essentially no statistical
correlation between the share of exports to China and
recent currency performance.
-10
-8
-6
-4
-2
0
2
4
6
0 10 20 30 40
World: China exports and FX performanceFX performance vs. US$ since Aug 10,%
Source : Oxford Economics/Haver Analytics
Exports to China as % of total
Australia
Taiwan
KoreaChile
Japan
BrazilMalaysia
Indonesia
Thailand
S.Africa
US
Russia
Argentina
Eurozone
India
UK
Canada
Turkey
Mexico
Poland
How can this pattern be explained? In the case of
China’s close Asian trading partners such as Korea and
Taiwan we believe the relative resilience of their
currencies reflects the fact that they are net commodity
importers and also have large current account surpluses
which protect their currencies from swings in global
capital flows. On top of this, there is evidence that
currency moves have been limited by central bank
intervention – especially in Korea.
Japan, like Korea and Taiwan, is a net commodity
importer and runs a current account surplus. But on top
of this, the yen has a tendency to gain in periods of
global uncertainty as Japanese investors repatriate
overseas assets (the result of course of years of
accumulated current account surpluses).
Like the yen, the US dollar has a reputation as a ‘safe
haven currency’ and this is borne out by recent
developments: the dollar has gained despite the US
looking moderately risky according to our scorecard.
We believe the dollar’s safe haven status reflects the
special nature of US financial markets, whose size and
depth and denomination in the global reserve currency
gives them an irresistible draw in times of global
uncertainty. We would note though that despite this, the
dollar has gained less than the euro or yen. One reason
for this is likely to be a compression of the interest rate
differential between the dollar and these currencies –
expectations of US rate hikes over the next 1-2 years
have been pared back since early August while no such
expectations existed in the Eurozone and Japan.
Several EMs have done worse in terms of currency
performance than their risk scores might suggest. Russia
is one of these: its risk score is boosted by its current
account position but this probably flatters the country.
Russia also has a massive problem of structural capital
flight and remains cut off from international markets by
sanctions.
Another is Turkey which has low exposure to Chinese
trade and is a net commodity importer. But Turkey’s
fundamentals are very poor (including a large current
account deficit) and with political risk also elevated this
probably explains its weak currency performance.
-10.0 -8.0 -6.0 -4.0 -2.0 0.0 2.0 4.0 6.0
PolandEurozone
IndiaKorea
TaiwanPhilippines
ThailandMexicoJapan
TurkeyRussia
USUK
CanadaMalaysia
ArgentinaIndonesia
South AfricaChileBrazil
Australia
World: Currencies and China risk ranks% change in currency versus US$ since Aug 10*
Source : Oxford Economics/Haver Analytics * for US, trade-weighted FX
Countries arranged top to bottom in order of decreasing China-related risk
Riskiest countries
Least risky countries
Less easy to explain are the large currency declines in
India and Mexico relative to their risk scores. In India’s
case it may be that the changed international
environment is leading investors to take a more sceptical
view of growth prospects than was recently the case,
perhaps focusing on the recent slowdown in reforms.
Mexico may be suffering from being a relatively liquid and
easy accessible market, with the currency being sold off
as a ‘proxy’ hedge for less liquid/open emerging markets.
Model simulations also suggest some
‘anomalies’
Another approach to identifying potential risks from the
China devaluation across countries is to use the Oxford
Economics Global Economic Model (GEM). As the model
is a fully integrated global system where countries are
5 5
10 Sep 2015
Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
Emerging Markets
linked through foreign trade, exchange rate and
commodity price movements it may capture some more
complex international interactions than our scorecard.
For example, a country may not trade much with China
but its exports may compete with those of China in third
markets and so may still lose out from China’s
devaluation. Alternatively, a country may not trade much
with China but may trade a great deal with countries that
do, and so will be hit if that country’s GDP slumps due to
China-related effects.
Using the OE model we have examined in recent
analyses the impact of a sharp economic slowdown in
China across a range of countries, and the results of
these simulations can be used as an alternative risk
indicator for currencies.
-10
-8
-6
-4
-2
0
2
4
6
Phili
ppin
es
Tu
rke
y
US
A
Arg
en
tin
a
Eu
rozo
ne
Ca
na
da
Au
str
alia
Ind
on
esia
Po
land
UK
Ma
laysia
Th
aila
nd
S.A
fric
a
Ru
ssia
Me
xic
o
Bra
zil
Ta
iwa
n
Ind
ia
Ja
pan
Ko
rea
Ch
ile
China downside scenario effect on GDP by 2017
Currency change v. US$ since Aug 10
World: China downside effects and currencies%
Source : Oxford Economics/Haver Analytics
If we look at the estimated impact on GDP by 2017 of our
current China downside model scenario, we can see that
there is a loose relationship with currency moves since
August 10: most of the countries with bigger
depreciations are those that the model scenario suggests
would be hard hit in GDP terms by weak Chinese growth,
while countries with lower estimated GDP impacts from a
slower China have mostly seen smaller FX moves.
But as with the scorecard rankings, there are again
significant anomalies. Two of the countries with the
biggest negative impacts on GDP according to our model
scenario, Korea and Chile, have seen quite modest
depreciation while Japan – also hit hard in the model
scenario – has seen its currency gain since August 10.
Turkey, meanwhile, has seen one of the biggest currency
depreciations but is not badly hit in the model scenario.
Conclusion
China’s surprise devaluation has set off a chain reaction
of large currency moves across the rest of the world, and
there could well be more to come.
There are compelling reasons for expecting further
depreciation in China, not least of which is that China’s
effective exchange rate is still over 10% above the level
of a year ago even after the devaluation. China is very
much the ‘odd one out’ among the major emerging
markets in this regard: in a period where emerging
currencies have on the whole done very badly, China’s
currency has been gaining implying a broad-based loss
of competitiveness against other EMs.
-40 -30 -20 -10 0 10 20
Russia
Brazil
Ukraine
Malaysia
Australia
Mexico
Turkey
Canada
South Africa
Indonesia
Japan
Eurozone
Chile
Korea
Poland
Thailand
Taiwan
UK
India
PhilippinesSwitzerland
China
Argentina
US
World: Effective exchange rates% change in nominal effective exchange rate since August 1 2014
Source : Oxford Economics/JPM Morgan/Haver Analytics
Our simple scorecard framework for assessing FX
vulnerability to China-related pressures finds that the
commodity-sensitive EMs – and Australia – are among
the most at risk.
Some of China’s close trading partners like Korea and
Taiwan have meanwhile not suffered much yet. This is
probably partly due thanks to large current account
surpluses, but also reflects currency intervention. Bigger
currency moves in these Asian countries may yet be in
the pipeline, and weak Chinese growth may also
manifest itself there in other ways e.g.by increasing
deflation pressures and compressing interest rates.
This article was first published on 4 September. For
further information contact Adam Slater
6 6
10 Sep 2015
Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
Emerging Markets
Latest data
Recent Data Releases
Previous month Latest Comment
China – CPI (Aug)
– Manuf. producer prices (Aug)
– Exports (Aug)
– Imports (Aug)
– Trade balance (Aug,12m total)
1.6% y/y
-4.5% y/y
-8.4% y/y
-8.2% y/y
$536.2bn
2.0% y/y
-4.9% y/y
-5.5% y/y
-13.8% y/y
$546.6bn
Dull trend in exports continues – which is likely to spur the authorities to consider further depreciation of the CNY. Meanwhile, imports are depressed because of very low commodity prices, subdued business and consumer confidence, and investment slowdown.
Russia – GDP (Q2, s. adj.)
– Consumer prices (Aug)
-1.6% q/q
-2.2% y/y
15.6% y/y
-2.0% q/q
-4.5% y/y
15.8% y/y
Deep recession driven by plunge in domestic demand in response to jump in inflation, sanctions, more difficult financing conditions and lower confidence levels. Inflation is running at a higher level in Q3 than we had been expecting, and the RUB’s fall in August will push up import prices again.
Korea – Employment (Aug)
– Unemployment rate (Aug, s.adj)
1.2% y/y
3.7%
1.0% y/y
3.6%
Labour market still in reasonable shape, with employment rising and wage growth of 3-4%.
Mexico – Consumer prices (Aug)
– Consumer confidence (Aug)
2.7% y/y
91.0
2.6% y/y
89.9
Despite peso decline, inflation is still below 3% target. But consumer confidence now ebbing.
Turkey – Retail sales vol. (Jul)
– Industrial output (Jul)
– Current account (Jul,12m total)
– GDP (Q2, seas.adj.)
– Consumer spending (Q2)
– Investment (Q2)
– Export volumes (Q2)
3.9% y/y
4.6% y/y
-$44.3bn
1.5% q/q
2.6% y/y
4.5% y/y
0.3% y/y
-0.8% y/y
6.0% y/y
0.7% y/y
-$45.0bn
1.3% q/q
4.2% y/y
5.1% y/y
10.0% y/y
-1.7% y/y
Quarterly GDP growth was quite a bit stronger than we had expected, with a surge in investment the main factor (probably financed by heavy borrowing). However, this is unlikely to persist given the rise in political uncertainty, a subdued external background and increasingly difficult financing conditions. Despite the plunge in oil prices this year, the current account gap is still running at a substantial US$45bn a year.
Taiwan – Exports (Aug, US$)
– Imports (Aug)
– Trade balance (Aug,12m total)
– Consumer prices (Aug)
-11.9% y/y
-17.4% y/y
$50.2bn
-0.6% y/y
-14.8% y/y
-16.7% y/y
$50.1bn
-0.4% y/y
Weak performance of exports has carried over into Q3, which is worrying for the overall growth outlook. Indeed, sales to US are now down on a year ago, as are exports to other key markets (largest fall is to ASEAN).
Chile – IMACEC activity index
(s.adj, Jul)
– Consumer prices (Aug)
– Core CPI (Aug)
0.8% m/m
3.0% y/y
4.6% y/y
4.9% y/y
0.1% m/m
2.7% y/y
5.0% y/y
4.9% y/y
Growth still quite patchy, with consumer spending growth threatened by renewed rising trend in CPI inflation (in large part the result of the depreciating peso and stubbornly high growth in unit labour costs).
Malaysia – Exports (Jul, US$)
– Imports (Jul)
– Trade balance (Jul,12m total)
-9.6% y/y
-15.2% y/y
$23.0bn
-13.4% y/y
-11.4% y/y
$22.5bn
External surpluses are not big enough (reflecting low commodity prices and relatively buoyant domestic demand) to counter the impact of capital outflows on the MYR.
Czech – Ind. output (Jul, s. adj)
1.0% m/m
6.1% y/y
1.3% m/m
7.2% y/y
Strong industrial performance reflecting solid domestic and external demand.
7 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
Asia
0
2
4
6
8
10
12
2000 2002 2004 2006 2008 2010 2012 2014
US$bn (seasonally adjusted)
China & HK
Source: Taiwan Ministry of Finance / Oxford Economics
Taiwan: Exports by destination
Rest of emerging Asia
US
Europe
0
30
60
90
120
150
180
210
240
2001 2003 2005 2007 2009 2011 2013 2015
US$bn (seasonally adjusted)
Source: Haver Analytics
China: Trade
Exports
Imports
-8
-6
-4
-2
0
2
4
6
8
10
2000 2002 2004 2006 2008 2010 2012 2014
% year
CPI
Source: China Bureau of Statistics
China: Inflation
Manufactured goods PPI
Non-food CPI
-50
-40
-30
-20
-10
0
10
20
30
40
50
60
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015
% year (3 month moving average)
Korea
Source: Haver Analytics
East Asia: Exports
Taiwan
China
0
1
2
3
4
5
6
7
8
2001 2003 2005 2007 2009 2011 2013 2015
%
Korea
Source: Haver Analytics
Emerging Asia: Short-term interest rates
China
Malaysia
Taiwan
Thailand
-50
-40
-30
-20
-10
0
10
20
30
40
50
60
2000 2002 2004 2006 2008 2010 2012 2014
% year
Indonesia
Source: Haver Analytics
ASEAN: Goods' Exports (US$)
3 month moving average
Malaysia
Philippines
Thailand
8 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
Asia
60
65
70
75
80
85
90
95
100
105
110
115
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
Index (Dec 30, 2010 = 100)
China
Source: Haver Analytics
Emergers: Exchange rates v US$
India
Indonesia
Korea
appreciation
60
80
100
120
140
160
180
200
220
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
Index (Dec 30, 2010 = 100)
China
Source: Haver Analytics
Emergers: Equity markets
India
Indonesia
Korea
0
30
60
90
120
150
180
210
240
270
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015
H1 2008 = 100
Housing
Source: Hang Seng Index Services / Hong Kong Rating & Valuation Dept.
Hong Kong: Asset prices
Offices
Stockmarket
70
75
80
85
90
95
100
105
110
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
Index (Dec 30, 2010 = 100)
Malaysia
Source: Haver Analytics
Emergers: Exchange rates v US$
Thailand
Philippines
Singapore
appreciation
40
45
50
55
60
65
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
50 = expansion/contraction breakeven point
Source: Markit
India: Nikkei Manufacturing PMI
6
7
8
9
10
11
12
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
%
Source: Haver Analytics
India: Interest rates
3-month interbank rate
10-year government bond yield
Repo policy rate
9 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
Latin America
20
30
40
50
60
70
80
90
100
110
120
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Index (seasonally adjusted, 2013=100)
Source: Haver Analytics
Latin America: Imports of goods
Argentina
Mexico
Brazil
Chile
-4
-2
0
2
4
6
8
10
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
% year
Chile
Source: Haver Analytics
Latin America: Consumer prices
Mexico
Colombia
Brazil
-28
-21
-14
-7
0
7
14
21
28
35
-12
-9
-6
-3
0
3
6
9
12
15
1997 1999 2001 2003 2005 2007 2009 2011 2013 2015
% year
US non-oil import volumes (RHS)
Source: Haver Analytics
Mexican GDP & US non-oil import volumes% year
Mexican monthly GDP proxy (LHS)
70
80
90
100
110
120
130
2003 2005 2007 2009 2011 2013 2015
2008=100 (IMACEC, seasonally adjusted)
Source: Haver Analytics
Chile: Monthly indicator of economic activity
0
4
8
12
16
20
24
28
2000 2002 2004 2006 2008 2010 2012 2014
%
Chile
Source: Haver Analytics
Latin America: Short-term interest rates
Mexico
Brazil
Colombia
40
50
60
70
80
90
100
110
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
Index (Dec 30,2010 = 100)
Chile
Source: Haver Analytics
Emergers: Exchange rates v US$
Brazil
depreciation
Argentina
Mexico
10 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
Emerging Europe
-2
0
2
4
6
8
10
12
14
16
18
2003 2005 2007 2009 2011 2013 2015
% year
Poland
Source: Haver Analytics
Central & Eastern Europe: Consumer prices
Czech
Russia
Hungary
50
60
70
80
90
100
110
120
130
2003 2005 2007 2009 2011 2013 2015
Index (H1 2008 = 100)
Source: Haver Analytics
Central Europe: Industrial output
Hungary
Slovak
Czech
Poland
40
50
60
70
80
90
100
110
120
130
140
150
2003 2005 2007 2009 2011 2013 2015
2010=100 (seasonally adjusted)
Slovak
Source: Haver Analytics
Central Europe: Merchandise exports in EUR
Czech
Hungary
-12
-9
-6
-3
0
3
6
9
12
15
2000 2002 2004 2006 2008 2010 2012 2014
% year
Poland
Source: Haver Analytics
Russia and Poland: GDP
Russia
20
30
40
50
60
70
8040
50
60
70
80
90
100
110
120
Jun 14 Aug 14 Oct 14 Dec 14 Mar 15 May 15 Jul 15
RUB per US$ (inverted)
Source: Haver Analytics
Russia: RUB and oil priceOil price (US$ pb)
RUB per US$ (RHS)
Oil price (LHS)
0
3
6
9
12
15
18
21
24
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
%
Source: Haver Analytics
Russia: Interest rates
Interbank rate (31 to 90 days)
1-week repo rate
%
10 year bond yield
11 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
Rest of World
30
35
40
45
50
55
60
65
2000 2002 2004 2006 2008 2010 2012 2014
50 = expansion / contraction line
Source: Haver Analytics
South Africa: PMI
-40
-30
-20
-10
0
10
20
30
40
50
2001 2003 2005 2007 2009 2011 2013 2015
% year
Source: Haver Analytics
Turkey: Real GDP
Exports
GDP
Consumer spending
Investment
0
3
6
9
12
15
18
21
24
2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
%
"Core" inflation
Source: Haver Analytics / Oxford Economics
Turkey: Interest rates and inflation
Average bank lending rate
1-week interbank rate
40
50
60
70
80
90
100
110
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
Index (Dec 30, 2010 = 100)
Source: Haver Analytics
Emergers: Exchange rates
Turkey (v Euro)
depreciation
S. Africa (v US$)
0
20
40
60
80
100
120
140
2001 2003 2005 2007 2009 2011 2013 2015
Malaysia: Foreign exchange reservesUS$ bn
Source : Oxford Economics/Bank Negara
0
2
4
6
8
10
12
14
16
Jan 11 Jan 12 Jan 13 Jan 14 Jan 15
%
Poland
Source: Haver Analytics
Emergers: 10 year government bond yields
Brazil
South Africa
Turkey
12 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
China Brazil Korea India Mexico Russia Turkey Taiwan Poland
2014
Jul 9.0 -2.8 3.9 0.9 1.9 1.5 3.5 6.8 2.4
Aug 6.9 -2.7 -1.5 0.5 1.9 0.0 4.5 8.2 0.5
Sep 8.0 -4.5 0.8 2.6 2.2 2.8 2.6 8.5 2.0
Oct 7.7 -2.9 -2.7 -2.7 2.4 2.9 2.7 8.3 1.8
Nov 7.2 -4.5 -1.9 5.2 2.5 -0.4 0.8 7.9 0.3
Dec 7.9 -3.5 -0.5 3.6 2.0 3.9 2.2 6.1 5.7
2015
Jan 6.8 -4.8 -3.5 2.8 1.3 0.9 -1.2 5.6 4.0
Feb 6.8 -6.3 0.2 4.8 1.7 -1.6 1.1 5.2 4.8
Mar 5.6 -6.8 -1.3 2.5 1.5 -0.6 4.7 7.7 5.7
Apr 5.9 -7.7 -2.5 3.4 1.2 -4.5 3.6 1.7 2.8
May 6.1 -6.3 -1.6 2.5 0.0 -5.5 2.5 -1.4 5.3
Jun 6.8 -5.3 -1.5 3.8 0.6 -4.8 4.6 -1.7 5.1
Jul 6.0 -8.3 -3.4 - - -4.7 0.7 -2.8 3.9
Industrial Production
Percentage changes on a year earlier unless otherwise stated
China Brazil Korea India Mexico Russia Turkey Taiwan Poland
2014
Aug 2.0 6.5 1.4 7.0 4.1 7.6 9.5 2.1 -0.3
Sep 1.6 6.7 1.1 5.6 4.2 8.0 8.9 0.7 -0.3
Oct 1.6 6.6 1.2 4.6 4.3 8.3 9.0 1.1 -0.6
Nov 1.4 6.6 1.0 3.3 4.2 9.1 9.2 0.9 -0.6
Dec 1.5 6.4 0.8 4.3 4.1 11.4 8.2 0.6 -1.0
2015
Jan 0.8 7.1 0.8 5.2 3.1 15.0 7.2 -0.9 -1.4
Feb 1.4 7.7 0.5 5.4 3.0 16.7 7.5 -0.2 -1.6
Mar 1.4 8.1 0.4 5.3 3.1 16.9 7.6 -0.6 -1.5
Apr 1.5 8.2 0.4 4.9 3.1 16.4 7.9 -0.8 -1.1
May 1.2 8.5 0.5 5.0 2.9 15.8 8.1 -0.7 -0.9
Jun 1.4 8.9 0.7 5.4 2.9 15.3 7.2 -0.6 -0.8
Jul 1.6 9.6 0.7 3.8 2.7 15.6 6.8 -0.6 -0.7
Aug 2.0 - 0.7 - 2.6 15.8 7.1 -0.4 -
Consumer prices
Percentage changes on a year earlier unless otherwise stated
13 Economist: Simon Knapp, Senior Economist | Tel: +44 1865268914 | e-mail: [email protected]
10 Sep 2015 Emerging Markets
China Brazil Korea India Mexico Russia Turkey Taiwan Poland
2014
Aug 9.3 -4.5 -0.4 1.6 3.5 -2.5 -1.8 9.5 -1.1
Sep 15.3 -5.9 6.3 2.1 3.9 -15.0 -0.3 4.6 2.3
Oct 11.6 -19.7 2.3 -5.2 7.8 -4.4 2.0 0.6 -2.7
Nov 4.7 -25.0 -2.7 9.4 4.1 -21.5 -4.5 3.5 -4.5
Dec 9.7 -16.1 3.1 -1.0 3.5 -22.5 -3.3 -2.9 -6.3
2015
Jan -3.3 -14.5 -1.0 -9.4 2.3 -29.7 -1.8 3.4 -10.8
Feb 48.2 -24.1 -3.3 -14.9 -2.5 -19.5 -5.2 -6.7 -8.2
Mar -15.0 -3.7 -4.5 -21.3 -1.3 -30.3 -13.8 -8.9 -10.8
Apr -6.4 -23.2 -8.0 -15.8 -1.6 -33.9 -1.0 -11.7 -14.7
May -2.8 -19.2 -11.0 -21.5 -7.3 -29.8 -15.0 -3.8 -11.1
Jun 2.1 -4.1 -2.6 -15.8 -3.6 -25.6 -11.3 -13.9 -8.5
Jul -8.4 -19.5 -3.4 -10.3 0.0 - -15.6 -11.9 -
Aug -5.5 -24.3 -14.7 - - - - -14.8 -
Exports (US dollars)
Percentage changes on a year earlier unless otherwise stated
China Brazil Korea India Mexico Russia Turkey Taiwan Poland
2014
Aug -2.5 -4.5 2.9 1.2 6.9 -10.9 -1.8 13.9 0.8
Sep 6.9 9.0 7.6 26.5 4.0 -9.5 -3.2 -0.1 3.4
Oct 4.6 -15.4 -3.3 3.7 7.6 -12.5 -7.4 -1.5 -1.9
Nov -6.8 -5.5 -4.1 26.4 9.8 -22.5 2.9 5.0 -3.1
Dec -2.5 -5.6 -1.0 -3.6 8.1 -24.6 -8.9 -12.3 -1.2
2015
Jan -19.9 -16.0 -11.8 -11.7 1.5 -40.5 -10.6 -4.7 -16.3
Feb -20.5 -17.3 -19.4 -16.5 -1.1 -35.2 -6.8 -22.4 -14.6
Mar -12.7 -5.6 -15.6 -13.5 -0.6 -36.8 -8.9 -17.7 -15.5
Apr -16.2 -23.7 -17.7 -8.0 1.3 -40.8 -11.4 -22.1 -15.8
May -17.7 -30.1 -15.3 -16.1 -3.8 -40.3 -11.6 -5.4 -18.8
Jun -6.4 -16.7 -13.6 -13.4 -0.8 -38.3 -15.2 -16.1 -9.3
Jul -8.2 -24.8 -15.3 -10.3 3.7 - -12.5 -17.4 -
Aug -13.8 -33.7 -18.3 - - - - -16.7 -
Imports (US dollars)
Percentage changes on a year earlier unless otherwise stated