Group Economics
EM FX Weekly
Macro & Financial Markets Research Georgette Boele, Peter de Bruin & Roy Teo
Stronger dollar weighs on EM FX
25 May 2015 • • •
Stronger dollar weighed on EM currencies Weak Polish data hurt on zloty, while Turkish lira strengthens due to ongoing ‘stealth’ tightening Some adjustment in Asian FX forecasts
Recovery of the US dollar hurt EM currencies
rate corridor, by increasing the amount of bank funding through
Emerging market currencies generally moved lower as the 10y
its more expensive ON-lending facility.
US Treasury yield and the US dollar moved higher. Central and Eastern European currencies were among the weakest
…helping the lira to recovery further
currencies, while the Chinese yuan was the most resilient.
The decision helped the Turkish lira to recover further. A stabilisation of the oil price, weakness in the US dollar, and an
Weak Polish data weigh on the zloty
increasing recognition by investors that monetary conditions
From the start of 2015 until 21 April, the Polish zloty had a
are relatively tight were the most important reasons for this. In
strong run versus the euro. A weak euro, strong economic data
addition, polls are suggesting that the ruling AKP will not
and the message by the central bank that it will unlikely cut
secure enough seats to change the constitution in the
interest rates despite negative year-on-year consumer
upcoming elections, which could further jeopardise the central
inflation, gave strong support to the zloty. However, since 21
bank’s independence. Still, we expect to see a renewed bout
April the positive sentiment eased somewhat. The recovery in
of lira weakness when the Fed starts its tightening cycle.
the euro, weaker Polish economic data were the main reasons for this. For example a sharp drop in retail sales pushed
Some adjustments in Asia FX forecasts
EUR/PLN towards 4.10. We expect this move to be temporary
We are now more bearish on both the Indonesian rupiah and
and the zloty to rally again going forward because of the strong
Indian rupee. Although S&P recently raised Indonesia’s credit
economy and monetary policy divergence.
rating from stable to positive, we remain concerned about its growth and inflation dynamics. Headwinds for the region are
CBT pushing up interbank rates
rising with an El Nino event expected to happen this year. This
%
should provide less flexibility for the Reserve Bank of India to lower interest rates. On the other hand, we are less bearish on
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the Chinese yuan as the authorities have implemented
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targeted fiscal and monetary stimulus to stimulate economic
10
growth, with a weaker exchange rate as a less preferred option
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currently. A more resilient yuan will have positive spillover
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effects on the Taiwan dollar given its sensitivity to the yuan.
4 10
11
12
Benchmark repurchase rate
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ABN AMRO emerging market currency forecasts
Overnight lending rate
One-week interbank rate
Source: Thomsons Reuters Datastream
CBRT keeps stealth tightening in place,… On Wednesday, the Turkish central bank (CBRT) left its policy rates unchanged. Being under political pressure, the CBRT has refrained from hiking any of its rates to combat inflation lately. Still, it has implemented a policy of ‘stealth’ tightening. It has pushed the interbank rate to the upper bound of its interest
USD/CNH USD/INR USD/KRW USD/SGD USD/THB USD/TWD USD/IDR USD/RUB USD/TRY USD/ZAR EUR/PLN EUR/CZK EUR/HUF USD/BRL USD/MXN USD/CLP
21-May 6.20 64 1,094 1.34 33.43 30.55 13,122 50 2.59 11.83 4.10 27.50 308 3.03 15.22 604
Q2 2015 6.22 64 1,100 1.34 33.50 30.80 13,200 53 2.65 12.00 3.95 27.50 310 3.05 15.25 630
Q3 2015 6.26 65 1,130 1.37 33.80 31.30 13,500 52 2.85 12.20 3.95 27.50 315 3.25 15.50 630
Q4 2015 6.30 65 1,130 1.40 34.00 31.50 13,700 50 2.85 12.20 3.90 27.50 320 3.20 15.50 630
Source: ABN AMRO Group Economics
Q1 2016 6.35 65 1,140 1.42 34.50 31.80 13,800 48 2.85 12.20 3.85 27.40 320 3.20 15.25 635
Q2 2016 6.37 66 1,150 1.43 34.80 32.00 13,900 47 2.85 12.20 3.85 27.25 325 3.10 15.25 640
Q3 2016 6.38 66 1,150 1.44 34.80 32.20 14,000 46 2.85 12.20 3.85 27.00 325 3.10 15.00 645
Q4 2016 6.40 66 1,150 1.45 34.80 32.50 14,100 45 2.85 12.20 3.85 26.75 330 3.10 15.00 650