The Stochastic Volatility Model is used extensively in financial time series. Recent literature has shown the importance of incorporating switching regimes into the volatility models. Hence, the "Stochastic Volatility Model with changing regimes" that is discussed in this thesis. A new sampling scheme which combines the recent work of Gerlach, Carter & Kohn (1997a) and So, Lam & Li (1998) is proposed. From the simulation study, the new sampling scheme has a faster convergence rate than previous methods mentioned in So, Lam and Li (1998).
| Date of Award | 1998 |
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| Original language | English |
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| Awarding Institution | - The Hong Kong University of Science and Technology
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The efficient Markov chain Monte Carlo estimation of the stochastic volatility model with changing regimes
Chen, A. A. (Author). 1998
Student thesis: Master's thesis