Artikel
Investigating the Relationship Between Central Bank Transparency and Stock Market Volatility in a Nonparametric Framework
This study investigates whether any non-linear relationship exists between central bank transparency and stock market variability in a non-parametric framework for a large number of countries. Our findings imply that a high level of transparency can significantly reduce historical as well as conditional stock market volatility in a non-linear manner. The negative effect of transparency on stock volatility is clearer when we move from low levels towards higher levels of transparency; this effect diminishes as long as we move to higher levels of transparency. This analysis implies that monetary authorities can contribute to equity market stability by adopting more transparent monetary policies in the early stages.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Credit and Capital Markets – Kredit und Kapital ; ISSN: 2199-1235 ; Volume: 50 ; Year: 2017 ; Issue: 1 ; Pages: 63-83
- Klassifikation
-
Wirtschaft
Monetary Policy
Semiparametric and Nonparametric Methods: General
- Thema
-
Local linear estimators
nonparametric regression
central bank
transparency
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Papadamou, Stephanos
Sidiropoulos, Moise
Tzeremes, Nickolaos
- Ereignis
-
Veröffentlichung
- (wer)
-
Duncker & Humblot
- (wo)
-
Berlin
- (wann)
-
2017
- DOI
-
doi:10.3790/ccm.50.1.63
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Papadamou, Stephanos
- Sidiropoulos, Moise
- Tzeremes, Nickolaos
- Duncker & Humblot
Entstanden
- 2017
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