Artikel
Dynamics of volatility spillover between stock market and foreign exchange market: evidence from Asian Countries
Background: The purpose of this study is to examine volatility spillover effects between stock market and foreign exchange market in selected Asian countries; Pakistan, India, Sri Lanka, China, Hong Kong and Japan. This study considered daily data from 4th January, 1999 to 1st January, 2014. Methods: This study opted EGARCH (Exponential Generalized Auto Regressive Conditional Heteroskedasticity) model for the purpose of analyzing asymmetric volatility spillover effects between stock and foreign exchange market. Results: The EGARCH analyses reveal bidirectional asymmetric volatility spillover between stock market and foreign exchange market of Pakistan, China, Hong Kong and Sri Lanka. The results reveal unidirectional transmission of volatility from stock market to foreign exchange market of India. The analysis reveals no evidence of volatility transmission between the two markets in reference to Japan. Conclusions: The result of this study provide valuable insights to economic policy makers for financial stability perspective and to investors regarding decision making in international portfolio and currency risk strategies.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 2 ; Year: 2016 ; Issue: 3 ; Pages: 1-20 ; Heidelberg: Springer
- Klassifikation
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Management
- Thema
-
Volatility spillover
Asian Countries
EGARCH
Exchange rate
Stock market
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Jebran, Khalil
Iqbal, Amjad
- Ereignis
-
Veröffentlichung
- (wer)
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Springer
- (wo)
-
Heidelberg
- (wann)
-
2016
- DOI
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doi:10.1186/s40854-016-0021-1
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Jebran, Khalil
- Iqbal, Amjad
- Springer
Entstanden
- 2016
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