The empirical study on volatility timing ability of Chinese growth style mutual funds

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dc.contributor.advisor Boabang, Francis
dc.coverage.spatial China
dc.creator Huang, Xiang
dc.date.accessioned 2012-09-22T19:02:08Z
dc.date.available 2012-09-22T19:02:08Z
dc.date.issued 2012
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/24680
dc.description 1 online resource (v, 46 leaves)
dc.description Includes abstract and appendices.
dc.description Includes bibliographical references (leaves 30-32).
dc.description.abstract The purpose of this paper is to examine the volatility timing abilities of Chinese growth style mutual fund managers by constructing single factor model with Busse volatility timing model, choosing the growth style mutual funds which found before 2007 as the sample, January 4, 2007 to December 30, 2011 as the sample interval. And the model is incorporated return timing factor in order to remove the influence of return timing abilities. The empirical result shows that the majority of the funds’ volatility timing coefficients are negative, but only 33.33% pass the significance test, which shows that small part of Chinese growth style mutual funds has significant volatility timing abilities. And the volatility timing coefficient is small, indicating that volatility timing skills of fund managers are weak. The reasons are unpredictability of the policy in China and lack of Short-Mechanism which limit volatility timing abilities of fund managers. en_CA
dc.description.provenance Submitted by Trish Grelot (trish.grelot@smu.ca) on 2012-09-22T19:02:08Z No. of bitstreams: 1 huang_xiang_mrp_2012.pdf: 2057991 bytes, checksum: 6913f640789e964a6967464e1d432d58 (MD5) en
dc.description.provenance Made available in DSpace on 2012-09-22T19:02:08Z (GMT). No. of bitstreams: 1 huang_xiang_mrp_2012.pdf: 2057991 bytes, checksum: 6913f640789e964a6967464e1d432d58 (MD5) en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. :Saint Mary's University
dc.title The empirical study on volatility timing ability of Chinese growth style mutual funds en_CA
dc.type Text en_CA
thesis.degree.level Masters
thesis.degree.level Master of Finance
thesis.degree.discipline Finance, Information Systems, & Management Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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