Artikel
Market-based monetary policy expectations for Turkey
This study discusses various types of market-based instruments and tries to find which financial instrument is the best in predicting monetary policy expectations for different time horizons in Turkey. Consistent with the existing literature on this subject, we adopt an approach that comes from expectations theory of term structure of interest rates, which implies that short term forward interest rates reflect market expectations of short term rates in the future. By using this methodology, we treat upcoming monthly, 3-months, 6-months, 9-months, 12-months, and 24-months average of daily CBRT effective policy rates as alternative dependent variables; and market rates with corresponding maturities as independent variables. We aim to assess which market rate has the best predictive power for CBRT effective policy rates. We find that FX forward implied rates dominate all other instruments for 3, 6, 9, 12 and 24 months horizons while Borsa Istanbul overnight repo rate expectation from CBRT’s Survey of Expectations is the best for 1-month horizon in forecasting future policy rates. We also note that CBRT’s monetary policy predictability also changes with CBRT’s choice of monetary policy implementation.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Central Bank Review (CBR) ; ISSN: 1303-0702 ; Volume: 20 ; Year: 2020 ; Issue: 1 ; Pages: 9-19 ; Amsterdam: Elsevier
- Klassifikation
-
Wirtschaft
Interest Rates: Determination, Term Structure, and Effects
Monetary Policy
Asset Pricing; Trading Volume; Bond Interest Rates
- Thema
-
Monetary policy
Policy rate expectations
Market-based measures of expectations
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Akçelik, Fatih
Talaslı, Anıl
- Ereignis
-
Veröffentlichung
- (wer)
-
Elsevier
- (wo)
-
Amsterdam
- (wann)
-
2020
- DOI
-
doi:10.1016/j.cbrev.2019.11.001
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Akçelik, Fatih
- Talaslı, Anıl
- Elsevier
Entstanden
- 2020
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