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.

Language
Englisch

Bibliographic citation
Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 2 ; Year: 2016 ; Issue: 3 ; Pages: 1-20 ; Heidelberg: Springer

Classification
Management
Subject
Volatility spillover
Asian Countries
EGARCH
Exchange rate
Stock market

Event
Geistige Schöpfung
(who)
Jebran, Khalil
Iqbal, Amjad
Event
Veröffentlichung
(who)
Springer
(where)
Heidelberg
(when)
2016

DOI
doi:10.1186/s40854-016-0021-1
Handle
Last update
10.03.2025, 11:42 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Jebran, Khalil
  • Iqbal, Amjad
  • Springer

Time of origin

  • 2016

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