This paper proposes a new statistical procedure which aims at providing robust estimates of volatility around official liberalisation dates, by using data driven techniques to identify the number and timing of structural breaks in the variance dynamics of stock market returns. The paper illustrates the usefulness of the procedure by providing an empirical application that focuses on five East Asian emerging markets, all of which liberalised their financial markets in the late 1980s or early 1990s, namely (South) Korea, Malaysia, Philippines, Taiwan and Thailand. It is shown that (i) the detected breakdates in the volatility of stock market returns do not correspond to official liberalisation dates and (ii) the use of official liberalisation dates as breakdates is likely to result in inaccurate inference. By using data driven techniques to detect multiple structural changes a richer - and inevitably more accurate - pattern of volatility dynamics emerges in comparison to focussing on official liberalisation dates.
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Publisher Info
Paper provided by Department of Economics, University of Leicester in its series Discussion Papers in Economics with number
06/13.
Length: Date of creation: Oct 2006 Date of revision:
Nov 2006 Handle: RePEc:lec:leecon:06/13
Contact details of provider: Postal: Department of Economics University of Leicester, University Road. Leicester. LE1 7RH. UK Phone: +44 (0)116 252 2887 Fax: +44 (0)116 252 2908 Email: Web page: http://www.le.ac.uk/economics/