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    ING PPP survey January 2012

    1

    ING PPP survey

    A look at FX valuations in the real worldMexico and Poland remain cheap

    Several times a year, INGs global team of economists goes shopping for a similar basket

    of goods and services to measure relative currency valuations. INGs Purchasing Power

    Parity (PPP) index is similar to The Economistmagazines famous Mac-PPP index, which

    is based on a single item a McDonalds Big Mac. Both measure long-term equilibrium

    exchange rates based on relative price levels around the world.

    Measures of fair currency values derived from Real Effective Exchange Rates merely

    adjust an exchange rates long-term average for inflation differentials between countries.

    PPP analysis is based on absolute prices, rather than rates of change of price indices,

    which brings it closer to the real world of things people shop for. It asks how many

    baskets of similar items Big Macs for the Mac-PPP and baskets of goods for the ING

    PPP can be bought with a fixed amount of money, 100 for the ING PPP. By

    calculating how many shopping baskets 100 will buy, we get a measure of which

    countries currencies are cheap or expensive.

    Our shopping basket includes 25 products and services. Within food, we price beverages,

    proteins, fresh fruit and vegetables, and staples like sugar and spaghetti. The likes of

    shampoo, washing powder and magazines feature in the non-consumables category. 95

    octane gasoline or its closest variant is used for energy prices, while cinema and subway

    tickets are used in our services category.

    Fig 1 Purchasing Power How ma ny shopping basket s does 100 buy?

    0.6

    0.7

    0.8

    0.9

    1.0

    1.1

    1.2

    1.3

    Mexico

    Poland

    Bul

    garia

    Hun

    gary

    Chi

    na

    Ukr

    aine

    Rom

    ania

    India

    South

    Afri

    ca

    Cze

    chRep

    Rus

    sia

    Slo

    vakia

    Philip

    pine

    s

    Indo

    nesia

    Kaz

    akhs

    tan

    Brazil

    Turk

    ey

    Sin

    gapo

    re

    Arg

    entin

    a

    South

    Korea

    Spain US UK

    Hon

    gK

    ong

    Basketspurchased

    per100

    Mar-11 End-11

    Cheap

    Expensive

    High per capita income

    EM average

    Note: Indonesia, Singapore and South Korea have been added to the survey, so no historical survey data isavailable

    Source: ING

    The shopping expedition in this exercise was conducted towards the end of 2011 and we

    compared the outcomes with the prior survey undertaken in March 2011 (and results

    published 13 April 2011). The biggest movers in Figure 1 were in the Mexican peso andthe Eastern European and Former Soviet Republic currencies, which became cheaper,

    and the Ukrainian hryvnia and four Asian currencies, the Chinese renminbi, the Hong

    Kong dollar, the Indian rupee and the Philippine peso, which became more expensive.

    FINANCIAL MARKETS RESEARCH

    research.ing.com SEE THE DISCLOSURES APPENDIX FOR IMPORTANT DISCLOSURES & ANALYST CERTIFICATION

    FX24 January 2012

    Chris TurnerHead of FX Strategy

    London +44 20 7767 [email protected]

    Tim CondonSingapore +65 6232 6020

    [email protected]

    ING basel ine forecas ts ,12m c hange (%)

    Versus

    USD

    Versus

    EUR

    UK 12 10

    Hungary 11 9

    Poland 6 4

    Czech Rep 5 3

    Turkey 4 2

    China 3 1

    Romania 3 1

    Brazil 3 1

    Kazakhstan 2 0

    Philippines 2 0

    Eurozone 2 0

    Bulgaria 2 0India 1 -1

    Russia 0 -2

    US 0 -2

    Hong Kong 0 -2

    Mexico -1 -3

    Ukraine -2 -3

    South Africa -10 -12

    Argentina -12 -13

    For ING forecast levels, see INGEconomic Forecasts, 11 January 2012

    Source: ING

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    Between-period changes in a currency are driven by the relation between changes in the

    price of the commodity basket local inflation and a currencys exchange value against

    the euro. If a currency depreciates in line with local inflation, there would be no change in

    its PPP value. If it depreciates by more than inflation, its PPP value would get cheaper

    and vice versa.

    High inflation explains why the Indian rupee, the Hong Kong dollar and the Ukrainian

    hryvnia became more expensive in 2011. Large depreciations explain why the Eastern

    European currencies and the Mexican peso became cheaper.

    The behaviour of the euro, our base currency, also matters. For example, in March 2011,

    EUR/USD was trading above 1.40 compared with the sub-1.30 levels that we are seeing

    early this year. The euros depreciation means USD-linked currencies will be more

    expensive today than last March, even if prices of all goods in the basket are unchanged.

    We think this effect, as much as high inflation, explains the big moves in the Chinese

    renminbi and the Philippine peso depicted in Figure 1.

    By product, the decline in fresh vegetable prices helped subdue prices in much of EMEA

    (food has the largest weight, 32%, in our shopping basket). INGs EMEA analysts are

    fearful that we will not see a repeat of food-driven disinflation in 2012.

    We outline the core views derived from our PPP model, but note these are just additions

    to the views expressed by our economists in other publications and we are not attempting

    to replace them. Indeed, while the PPP analysis may suggest a buy or sell, local short-

    term factors may imply the opposite. Please consider investments taking both the PPP

    model and our country views into account.

    Looking at how currencies stacked up at the end of 2011, Mexico was the cheapest EM

    currency, a position it also held earlier in the year, but Eastern European currencies

    dominate the cheap end of our scale thanks to subdued price changes in local baskets

    (relative to other countries) and depreciations of their currencies against the euro.

    The Singapore dollar and the Korean won, new entrants on our list, are at the expensive

    end, with Korea expensive even relative to developed markets (the US and the UK in our

    example). Their expensiveness squares with our intuition both countries feel

    expensive and it will be interesting to track them to test the intuition. Beyond these new

    Asian entrants, Brazil and Turkey are expensive despite depreciating by 11% and 18%,

    respectively, against the dollar in 2011 (year-end to year-end) as their central banks

    embarked on easing cycles. The Central Bank of Turkey is stoutly resisting further TRY

    weakness, having widened the policy corridor and hiked short-term rates to near 12%.

    There may be greater depreciation potential in the BRL given INGs forecast of another

    200bp of policy rate cuts this year.

    Whats cheap/rich to EM/regional averages?We also look at whats rich/cheap compared to benchmarks such as regional averages,

    EM as a whole, Spain and the US (see Figure 2). Rich/cheap assessments versus

    regional averages may be useful to fund managers with dedicated positions in the region

    (eg, against equity or bond benchmarks), with a view to running overweight or

    underweight positions.

    We have historically used Spain as a benchmark because as a convergence country in

    the Eurozone with a high per capita income, it is a country to which EMEA in particular

    might aspire. However, Spains 7-8% of GDP current account deficits in 2007-09 suggest

    that the country was overvalued, perhaps by as much as 20-30% against Germany. Thus

    the implied EM FX appreciation from our PPP survey to catch up with Spain is excessive.

    Spain is no longer a role model.

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    ING PPP survey January 2012

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    Using regional averages as the benchmark, our PPP survey suggests PLN may be as

    much as 25-35% under-valued against the EUR. This harks back to the distant days of

    July 2008, when EUR/PLN was trading 3.20. And in the EMEA world, EUR/TRY could,

    over the medium to long term, trade substantially higher were market conditions and

    policy action to allow it. In Asia, our PPP measure suggests the Chinese renminbi may

    be anywhere between 10% and 30% under-valued against the dollar, higher than the 3%

    to 23% indicated by the IMF in its 2011 Article IV consultation report. Our PPP analysis

    suggests there is scope for USD/MXN trading below 10. However, Julys presidential

    elections may deter investors from aggressively increasing MXN exposure until political

    uncertainty is resolved.

    Fig 2 ING3Pi impl ied exchange ra tes

    Implied ING3Pi rate Implied ING3Pi rate

    Exchange rate

    vs

    Regional avg

    as benchmark

    EM as

    benchmark

    Spain as

    benchmark

    Exchange rate

    vs US$

    Regional avg

    as benchmark

    EM as

    benchmark

    US as

    benchmark

    (lc/) (lc/) (lc/) (lc/) (lc/US$) (lc/US$) (lc/US$) (lc/US$)

    Emerging Europe

    Bulgaria 1.96 1.65 1.57 1.43 1.53 1.30 1.23 0.96Czech Republic 25.4 27.1 25.7 23.4 19.9 21.2 20.1 15.7

    Hungary 310 287 271 247 242 224 213 166

    Kazakhstan 189 229 217 197 148 180 170 133

    Poland 4.40 3.37 3.19 2.90 3.45 2.64 2.50 1.95

    Romania 4.33 4.30 4.07 3.70 3.39 3.37 3.19 2.49

    Russia 40.5 43.2 40.9 37.2 31.7 33.8 32.0 25.0

    Slovakia 1.00 1.07 1.02 0.92 1.28 1.37 1.30 1.01

    South Africa 10.26 10.87 10.30 9.37 8.03 8.51 8.06 6.28

    Turkey 2.36 2.99 2.83 2.57 1.85 2.34 2.21 1.73

    Ukraine 10.22 9.66 9.15 8.32 8.00 7.56 7.17 5.59

    Latin America

    Argentina 5.51 7.14 6.80 6.19 4.31 5.59 5.33 4.15

    Brazil 2.27 2.85 2.72 2.47 1.78 2.23 2.13 1.66

    Mexico 17.31 12.10 11.53 10.49 13.55 9.47 9.03 7.04

    Asia

    China 8.06 6.39 7.13 6.49 6.31 5.00 5.58 4.35

    Hong Kong 9.93 12.89 14.39 13.09 7.77 10.08 11.26 8.78

    India 65.8 56.8 63.4 57.6 51.4 44.4 49.5 38.6

    Indonesia 11,735 11,957 13,355 12,146 9,075 9,247 10,328 8,051

    Philippines 55.9 53.7 60.0 54.5 43.7 42.0 46.9 36.6

    Singapore 1.65 1.77 1.97 1.79 1.29 1.38 1.54 1.20

    South Korea 1,468 1,722 1,923 1,749 1,148 1,346 1,504 1,172

    Prices as at 17 January 2012

    Source: ING

    In Figure 3, we rank the results of our survey against standard valuation metrics for

    currencies derived from balance of payments measures of cold money the current

    account balance plus foreign direct investment (FDI) in relation to GDP. Abundant cold

    money inflows indicate a fundamental argument for currency appreciation. Thisperspective undermines the PPP findings that the SGD is expensive. Alternatively, a

    large current account deficit and meagre FDI inflows (ie, a current account deficit funded

    largely by hot money) indicates vulnerability in times of financial market stress, eg,

    Turkey.

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    ING PPP survey January 2012

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    Fig 3 FDI + C/A as % of GDP, 2011 F and 201 2F (in ord er of ING PPP valuat ion)

    -10

    -8

    -6

    -4

    -2

    0

    2

    46

    8

    10

    12

    14

    Mexic

    o

    Polan

    d

    Bulga

    ria

    Hungary

    China

    Ukraine

    Roma

    niaIndia

    SouthA

    frica

    CzechR

    ep.

    Russia

    Slovakia

    Philip

    pines

    Indonesia

    Kazakh

    stan

    Brazil

    Turke

    y

    Singap

    ore

    Argentina

    South

    Korea

    Spain US UK

    % of GDP

    FDI + C/A (% of GDP) 2011 FDI + C/A (% of GDP) 2012

    Appreciation pressure

    Depreciation pressure

    Source: National sources, ING forecasts

    Looking at per capita GDP, our PPP survey reinforces the message that the MXN looks

    cheap; it is a relatively wealthy economy with a cheap real exchange rate (see Figure 4).

    Poland also appears cheap. We also show the average three-month rates that we expect

    to be available in each of our surveyed countries in 2012. At the cheap end of the

    spectrum, Hungary offers high rates and abundant cold money inflows. Were it not for an

    uncertain political environment, the HUF could start to receive a little more support if the

    global environment improves. The expensive TRY and BRL are temporarily supported by

    high local rates.

    Fig 4 Per capi t a GDP in 2011F and 2012F (US$) ( in order of ING PPP valuat ion)

    0

    5000

    10000

    15000

    20000

    25000

    Mexico

    Poland

    Bulga

    ria

    Hungary

    China

    Ukraine

    Roma

    niaIndia

    SouthAfrica

    CzechRep.

    Russia

    Slovakia

    Philip

    pines

    Indonesia

    Kazakh

    stanBrazil

    Turkey

    Singap

    ore

    Argentina

    South

    Korea Sp

    ain US UK

    Hong

    Kong

    Per capita GDP US$ 2011 Per capita GDP US$ 2012

    Above the line= cheap

    Below the line= expensive

    (Capped at US$25,000)

    Source: National sources

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    ING PPP survey January 2012

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    Fig 5 Three-month average int erest rat es (%), 2012F (in order of ING PPP valuat ion)

    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    20

    Mexico

    Polan

    d

    Bulga

    ria

    Hung

    ary

    China

    Ukraine

    Romania

    India

    CzechR

    ep.

    Russia

    Slovakia

    Philip

    pines

    Indonesia

    Kazakh

    stan

    Brazil

    Turke

    y

    Singap

    ore

    Argentina

    SouthK

    orea US UK

    Hong

    Kong

    3m average interest rates 2012

    These currencies are cheap High rates in key EM countries support expensive currencies

    Source: National sources, ING forecasts (Chinese rates seven-day repo)

    Over the life of our shopping survey, there has been a tendency for PPP exchange rates

    for EM and developed markets to converge (see Figure 6). In early 2004, our 100 would

    buy over 1.3 baskets of goods, using the EM average. It currently buys just 0.88 of a

    basket.

    Fig 6 Histor ical ING 3Pi variat ions

    0.65

    0.75

    0.85

    0.95

    1.05

    1.15

    1.25

    Jan-04

    Jun-04

    Oct-0

    4

    Mar-05

    Sep-05

    Jan-06

    Jun-06

    Nov-0

    6

    Mar-07

    Aug-07

    Jan-08

    Jun-08

    Nov-0

    8

    Mar-0

    9

    Aug-09

    Jan-10

    Jun-10

    Nov-1

    0

    Mar-1

    1

    End-11

    EM average US Spain

    Basketspurchased

    per

    100

    Source: ING

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    Fig 7 Relat ive compet i t i veness vs the US s ince 2003 wi t h US rebased to 1 .0

    0.8

    1.0

    1.2

    1.4

    1.61.8

    2.0

    2.2

    2.4

    Jan-03

    Jun-03

    Jan-04

    Jun-04

    Oct-0

    4

    Mar

    -05

    Sep-05

    Feb-

    06

    Jun-06

    Nov-0

    6

    Mar

    -07

    Aug-07

    Jan-08

    Jun-08

    Nov-0

    8

    Mar

    -09

    Aug-09

    Jan-10

    Jun-10

    Nov-1

    0

    Mar

    -11

    End-11

    South Africa Turkey Brazil Mexico China

    Twice as cheap as US

    Below 1.0 = more expensive than US

    Source: ING

    Fig 8 Convergence currenc ies valuat ions in ING PPP survey

    0.6

    0.8

    1

    1.2

    1.4

    1.6

    1.8

    3Q00

    1Q01

    2Q01

    4Q01

    2Q02

    3Q02

    Jan-03

    Jun-03

    Jan-04

    Jun-04

    Oct-0

    4

    Mar-05

    Sep-05

    Feb-

    06

    Jun-06

    Nov-0

    6

    Mar-07

    Aug-07

    Jan-08

    Jun-08

    Nov-0

    8

    Mar-0

    9

    Aug-09

    Jan-10

    Jun-10

    Nov-1

    0

    Mar-1

    1

    End-11

    Basketspurchased

    per100

    Czech Republic Hungary Poland Spain

    Romania Turkey Ukraine Russia

    Cheap

    Expensive

    Source: ING

    Fig 9 EM pol icy rates Marc h, June and Decem ber 2012 forec asts

    0

    2

    4

    6

    8

    10

    12

    Mexico

    Polan

    d

    Hungary

    China

    Ukraine

    Roma

    niaIndia

    CzechR

    ep.

    Russia

    Slovakia

    Philip

    pines

    Indonesia

    Kazakh

    stan

    Brazil

    Turke

    y

    SouthK

    orea US UK

    EM policy rate end March 2012 EM policy rate end June 2012 EM policy rate end Dec 2012

    4.50

    7.25 7.00

    5.50

    0.75

    7.75

    4.00

    7.50

    5.75

    3.25

    0.00-0.25

    4.003.50

    7.75

    0.75

    5.00

    9.00

    0.50

    Source: ING

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    ING PPP survey January 2012

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    EM currency valuations are converging with those in the developed world. On a

    relative basis, the currencies of Mexico and Poland look as though they have room

    for appreciation/convergence. Turkey, Brazil and Korea have converged.

    [email protected]

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    Disclosures AppendixANAL YST CERTIFICATION

    The analyst(s) who prepared this report hereby certifies that the views expressed in this report accurately reflect his/her

    personal views about the subject securities or issuers and no part of his/her compensation was, is, or will be directly or

    indirectly related to the inclusion of specific recommendations or views in this report.

    IMPORTANT DISCLOSURES

    Company disclosures are available from the disclosures page on our website at http://research.ing.com.

    The remuneration of research analysts is not tied to specific investment banking transactions performed by ING Group

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    Securities prices: Prices are taken as of the previous days close on the home market unless otherwise stated.

    Conflicts of interest policy. ING manages conflicts of interest arising as a result of the preparation and publication of research

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    Compliance. For further details see our research policies page at http://research.ing.com.

    FOREIGN AFFILIATES DISCLOSURES

    Each ING legal entity which produces research is a subsidiary, branch or affiliate of ING Bank N.V. See back page for theaddresses and primary securities regulator for each of these entities.

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    AMSTERDAM BRUSSELS LONDON NEW YORK SINGAPORETel: 31 20 563 9111 Tel: 32 2 547 2111 Tel: 44 20 7767 1000 Tel: 1 646 424 6000 Tel: 65 6535 3688

    BratislavaTel: 421 2 5934 6111

    BucharestTel: 40 21 222 1600

    Budapest

    Tel: 36 1 235 8800Buenos AiresTel: 54 11 4310 4700

    DublinTel: 353 1 638 4000

    GenevaTel: 41 22 593 8050

    Hong KongTel: 852 2848 8488

    Istanbul

    Tel: 90 212 367 7011KievTel: 380 44 230 3030

    MadridTel: 34 91 789 8880

    ManilaTel: 63 2 479 8888

    Mexico CityTel: 52 55 5258 2000

    Milan

    Tel: 39 02 89629 3610MoscowTel: 7 495 755 5400

    ParisTel: 33 1 56 39 32 84

    PragueTel: 420 2 5747 4111

    Sao PauloTel: 55 11 4504 6000

    Seoul

    Tel: 82 2 317 1800ShanghaiTel: 86 21 6841 3355

    SofiaTel: 359 2 917 6400

    TaipeiTel: 886 2 2734 7600

    TokyoTel: 81 3 5210 0100

    Warsaw

    Tel: 48 22 820 5018

    Research offices: legal entity/address/primary securities regulator

    Amsterdam ING Bank N.V., Foppingadreef 7, Amsterdam, Netherlands, 1102BD. NetherlandsAuthority for the Financial Markets

    Bratislava ING Bank N.V., pobocka zahranicnej banky, Jesenskeho 4/C, 811 02 Bratislava, Slovak Republic. National Bank of Slovakia

    Brussels ING Belgium S.A./N.V., Avenue Marnix 24, Brussels, Belgium, B-1000. Financial Services and Market Authority (FSMA)

    Bucharest ING Bank N.V. Amsterdam - Bucharest Branch, 11-13 Kiseleff Avenue, 011342, Bucharest 1, Romania. Romanian National Securities

    and Exchange Commission, Romanian National Bank

    Budapest ING Bank N.V. Hungary Branch, Dozsa Gyorgy ut 84\B, H - 1068 Budapest, Hungary. Hungarian Financial Supervisory Authority

    Istanbul ING Bank A.S., ING Bank Headquarters, Resitpasa Mahallesi Eski Buyukdere Cad. No: 8, 34467 Sariyer, Istanbul , Turkey. Capital

    Markets Board

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    Exchange Commission

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