Time-varying World Integration of the Malaysian Stock Market: A Kalman Filter Approach
Bit-Kun Yeoh,
Chee-Wooi Hooy and
Zainudin Arsad
Additional contact information
Bit-Kun Yeoh: School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Pulau Pinang, Malaysia
Zainudin Arsad: School of Management, Universiti Sains Malaysia, 11800 USM Pulau Pinang, Malaysia
Asian Academy of Management Journal of Accounting and Finance (AAMJAF), 2010, vol. 6, issue 2, 1-17
Abstract:
This paper estimates the time-varying world integration of the Malaysian stock market and examines if the paths of the time-varying integration match the economic events of the country. We employed weekly time series data for the period between February 1988 and September 2009 to coincide with the liberalisation of the Malaysian market since the late 1980s. To capture the time-varying degree of market integration, we employed the Kalman Filter technique, which produces time-varying coefficients in estimating International Capital Asset Pricing Model (ICAPM). The changes in the level of market integration coincide with the economic events that took place in the country and provide some evidence to the practical application and suitability of the Kalman Filter technique in studying stock market integration.
Keywords: impulse response functions; reaction function; SVAR; and Taylor rule JEL Classifications: (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://web.usm.my/journal/aamjaf/vol6-2-2010/6-2-1.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:usm:journl:aamjaf00602_1-17
Access Statistics for this article
More articles in Asian Academy of Management Journal of Accounting and Finance (AAMJAF) from Penerbit Universiti Sains Malaysia Contact information at EDIRC.
Bibliographic data for series maintained by Journal Division, Penerbit Universiti Sains Malaysia ().