the impact of the usd/eur exchange rate on inflation in cee countries
DESCRIPTION
The Impact of the USD/EUR Exchange Rate on Inflation in CEE Countries. Ljubinko Jankov, Ivo Krznar, Davor Kunovac, Maroje Lang. The Impact of the USD/EUR Exchange Rate on Inflation in CEE Countries : Overview. Motivation Theory – Pricing Along a Distribution Chain - PowerPoint PPT PresentationTRANSCRIPT
The Impact of the USD/EUR Exchange Rate on Inflation in CEE
Countries
Ljubinko Jankov, Ivo Krznar, Davor Kunovac, Maroje Lang
The Impact of the USD/EUR Exchange Rate on Inflation in CEE Countries : Overview
1. Motivation2. Theory – Pricing Along a Distribution Chain3. Estimation technique – VAR with block restrictions4. Results
Croatia Other CEE countries
5. “Natural experiment” 6. Conclusion
1. Motivation – understand the impact of exchange rate on prices in Croatia
The CNB relies on the stable (managed) exchange rate to euro as a nominal anchor
Very small oscilations of EUR/HRK; not large enough to influence prices (menu costs) which prevents empirically testing pass-trough
Large variability of USD/EUR is reflected in USD/HRK and effective exchange rate
=> we hope to use this volatility to improve our understanding of the impact of exchange rate on prices
Indices of daily nominal exchange rates of kuna vs. EUR and USD
(2001 = 100)
60
70
80
90
100
110
120
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
HRK/EUR HRK/USD
1. Motivation (cont.) – empirical finding: strong correlation between inflation and EUR/USD in
Croatia…
EUR/USD exchange rate (annual changes) and Croatia’s annual CPI inflation (normalized)
-3
-2
-1
0
1
2
3
1999 2000 2001 2002 2003 2004 2005 2006 2007
CPI Croatia EUR/USD
1. Motivation (cont.) – … and also in other CEECs
EUR/USD exchange rate (annual change) and the principal component of 7 CEEC annual inflation rates (normalized)
-3
-2
-1
0
1
2
3
1999 2000 2001 2002 2003 2004 2005 2006
CEEC's diffusion index EUR\USD
Why USD/EUR?
1. Most CEECs “manage” their exchange rate to EUR => USD/LC ~ USD/EUR, i.e. exogenous
• Effective exchange rate also largely exogenous (larger weight of EUR, but higher volatility of the USD dominates)
2. Significant share of imports priced in USD (mostly commodities (oil), but also manufactured goods (Asia))
=> influences prices of imported good
3. USD/EUR contains many information • (high correlation with interest rates, foreign demand, etc.)
4. External forecasts / futures market data available
2. The model of pricing along the distribution chain
COMMODITIES AND IMPORTED GOODS + USD/EUR
+EUR/LOCAL CURRENCY
▼IMPORT PRICES
▼PRODUCER PRICES
▼CONSUMER PRICES
3. Estimation technique – VAR with block restrictions
important to differentiate external and domestic variables/shocks – domestic should not influence external
Foreign block : commodity prices and USD/EUR Domestic block : output gap, (EUR/LC), PPI, CPI
Data
IFS, 1999 – 2006, quarterly frequency 2 lag VAR, specified in dlog’s 7 countries
3 exchange rate targeters: Bulgaria, Croatia, Estonia 4 inflation targeters: Czech R, Hungary, Poland, Slovak R
Latvia, Lithuania, Romania and Slovenia excluded due to significant regime change
4. Results: Croatia
Previous studies concentrated on Croatia not successful in finding the exchange rate pass-trough included the CNB’s policy rate : EUR/HRK
Cross country studies of pass-through (USD/HRK, NEER) “conclusion of low pass-trough in Croatia” ?!
Our VAR specification: external block: WCP, USD/EUR internal block: output gap, PPI, CPI (import prices not available for Croatia; EUR/HRK not
important)
Variance decomposition for Croatia external shocks dominate, especially USD/EUR strongest on the CPI
• combination of WPC and USD/EUR explains lower share of the CPI variance than sum of variables expressed separately
• other VAR specification (including with EUR/HRK) don’t influence our findings
Croatia: VAR impulse responses Output gap's response to WPI
5 10 15 20
-0.0
10
0.0
00
0.0
10
Output gap's response to USD/EUR
5 10 15 20
0.0
00
0.0
10
0.0
20
PPI's response to WPI
5 10 15 20
0.0
00
0.0
10
0.0
20
0.0
30
PPI's response to USD/EUR
5 10 15 20
-0.0
20
-0.0
10
0.0
00
CPI's response to WPI
5 10 15 20
0.0
00
0.0
04
0.0
08
CPI's response to USD/EUR
5 10 15 20
-0.0
10
-0.0
06
-0.0
02
Croatia: evidence from microdata supports our finding
correlation of individual CPI components with the USD/EUR exchange rate
strong correlations for goods mostly manufactured in Asia household appliances (-0.73) glassware and tableware utensils (-0,69) clocks, watches and jewelry (-0,59) toys (-0,59) footwear (-0,52) garments (-0,50)
and goods & services with a large share of oil in its cost structure
passenger transport by road (-0,65) fuels and lubricants for personal transport equipment (-0,64) air-transport (-0,54)
on the other hand, most of the (non-travel) services, food and other non-tradables not correlated with USD/EUR
Results CEECs : CPI variance decomposition
high impact of USD/EUR for the exchange rate targeters, but weaker for the inflation targeters
CEECs: CPI’s response on one unit residual shock
5. “Natural Experiment”
Lithuania changed its peg from USD to EUR in February 2002 Correlation USD/EUR to inflation changed from 0.46 to -0.69 Lithuania “missed” the Maastricht inflation criterium by 0.05%
5. “Natural Experiment”
Lithuania changed its peg from USD to EUR in February 2002 Correlation USD/EUR to inflation changed from -0.46 to 0.69 Lithuania “missed” the Maastricht inflation criterium by 0.05%
-3
-2
-1
0
1
2
3
1999 2000 2001 2002 2003 2004 2005 2006
Lithuania CPI EUR/USD
Conclusions
We find that in countries with stable exchange rate to euro, fluctuations of USD/EUR exchange rate might be one of the leading factors responsible for inflation variation this can be described as the success of existing policies in
achieving low inflation, but also exposes a danger / difficulty of coping with the external shocks
Especially important during the run-up to the eurozone in case of dollar appreciation those countries might need to
use other economic policies (instead of the monetary policy) for containing effects of temporary shock
1.5% buffer in the Maastricht criteria might not be enough to accommodate rising inflation in the case of larger dollar appreciation
Possible to use USD/EUR for forecasting/explaining inflation
Thank you for your comments !