Abstract
Using a Switching Regime ARCH (SWARCH) model and other time series models, this paper sets out to investigate the volatility of Taiwan's monthly stock market returns, with the empirical results demonstrating that our SWARCH-L specification offers a better statistical fit to this leading stock market of the emerging economies. We also provide a clear confirmation of the causal relationship between stock return volatility and the business cycle. The smoothed probabilities for medium- and high-volatility regimes seem to lead to fluctuations in the coincident economic index, while a change in the coincident economic indicators precedes the filter probabilities for low-volatility regimes. Such evidence strongly reinforces the value of information provided by stock volatility, particularly in an anomalous or highly volatile manner, in signalling the fluctuations in Taiwan's business cycle.
Original language | English |
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Pages (from-to) | 433-450 |
Number of pages | 18 |
Journal | International Journal of Electronic Finance |
Volume | 2 |
Issue number | 4 |
DOIs | |
State | Published - 2008 |
Bibliographical note
Publisher Copyright:© 2008 Inderscience Enterprises Ltd.
Keywords
- Business cycle
- E-finance
- Electronic finance
- Markov switching
- Stock volatility