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ConvergenceConvergence in in InterestInterest andand ExchangeExchange RatesRates
Seminář odboru 31 – Finanční politiky, MF
Aktuální Otázky Makroekonomického Vývoje ČR- Zkušenosti Po Vstupu Do EU
6. Prosince 2005
Oxana Babetskaia-Kukharchuk
Sekce měnová a statistiky ČNB Odbor vnějších ekonomických vztahů
2
OutlineOutline
• Motivation
• Convergence in exchange rates Data and methodology
• Interest rates convergence Results
• Conclusion
3
MotivationMotivation
• How narrow are CE-4 interest rate differential with Euro area?
• How close are CE-4 currencies de facto to Euro?
4
Interest rates Interest rates
DataData
• 1 year: Bloomberg, Dec.1998-Sep.2005, daily
• 5 years: Bloomberg, Dec.1998-Sep.2005, daily
• 10 years: Eurostat. Jan.1990-Aug.2005, monthly EMU convergence criterion bond yields
Euro Area Interbank Offered Rate (EURIBOR), the Prague Interbank Offered Rate (PRIBOR), the Budapest Interbank Offered Rate (BUBOR), the Warsaw Interbank Offer/Bid Rate (WIBO) and the Bratislava Interbank Offered Rate (BRIBOR)
Government bonds
5
Differences in interest rates vis-à-vis the euro area 1998–2005Differences in interest rates vis-à-vis the euro area 1998–2005
-2
0
2
4
6
8
10
12
14
1998 1999 2000 2001 2002 2003 2004
CZ HU PL SK
Sources: Bloomberg, CNB calculation.
-2
0
2
4
6
8
10
12
14
1998 1999 2000 2001 2002 2003 2004
CZ HU PL SK
(percentage points)
One-year rates Five-year rates
6
EMU convergence criterion bond yields
-4
-2
0
2
4
6
8
10
12
14
16
18
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005
AT GR
PT CZ
HU PL
SK
Sources: Eurostat, CNB calculation.
7
Stylized facts: Euro and Dollar exchange rates in CE-4Stylized facts: Euro and Dollar exchange rates in CE-4
70
80
90
100
110
120
130
1/08/03 12/24/03 12/08/04
CZK/EURPLN/EURSKK/EURHUF/EUREUR/USD 70
80
90
100
110
1/08/03 12/24/03 12/08/04
CZK/USDPLN/USDSKK/USDHUF/USDEUR/USD
70
80
90
100
110
120
130
1/08/03 12/24/03 12/08/04
CZK/EURPLN/EURSKK/EURHUF/EUREUR/USD 70
80
90
100
110
1/08/03 12/24/03 12/08/04
CZK/USDPLN/USDSKK/USDHUF/USDEUR/USD
(weekly, 1st week 2003=100)(weekly, 1st week 2003=100)
Exchange ratesExchange rates
8
Formal analysis of exchange rate co-movementsFormal analysis of exchange rate co-movements
• Data: Bloomberg, 01/01/1994 – 30/08/2005, Daily
• Methodology: time varying correlation coefficient
(estimated as bi-variate GARCH)
where NC = national currency
• Possible outcomes: 0 <= |corr| <= 1
corr = 0: NC is not related to Euro at all
corr = 1: NC = Euro
tt
t
USDEURUSDNCUSDEURUSDNC
corr/var*/var
/,/cov
9
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
Results: Dynamic correlationsResults: Dynamic correlations
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
CZK/USD and EUR/USD HUF/USD and EUR/USD
SKK/USD and EUR/USDPLZ/USD and EUR/USD
Sources: Bloomberg, CNB calculation.
10
ConclusionsConclusions
• Czech Republic and Slovak Republic have the lowest interest rates differential
• Current average level in CE-4 is comparable to the time-corresponding level in Portugal
• Czech and Slovak koruna have a higher and less volatile correlation with the euro
• CE-4 currencies tend to be perceived close to Euro and similar among themselves
• Factors which may explain converge:
- Euro as the mean of trade invoicing - implicit role of Euro as the reference
currency - intraregional trade <Europe: 70-80%>
Interest Rates Exchange Rates