dc.contributor.advisor | Tsoi, Allanus Hak-Man, 1955- | eng |
dc.contributor.author | Yin, Pei, 1978- | eng |
dc.date.issued | 2007 | eng |
dc.date.submitted | 2007 Summer | eng |
dc.description | The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. | eng |
dc.description | Title from title screen of research.pdf file (viewed on December 18, 2007) | eng |
dc.description | Vita. | eng |
dc.description | Thesis (Ph. D.) University of Missouri-Columbia 2007. | eng |
dc.description.abstract | This work provides a solid development of a hidden Markov model (HMM) from the economic insight to the mathematic formulation. In this model, we assume both drift and volatility of the security return process are driven by certain underlying economic forces which evolve together as a finite-state, time-invariant Markov chain. Unfortunately, this chain is unobservable. Through stochastic filtering techniques and EM algorithm with modified iteration steps, we estimate the state space and transition matrix of the Markov chain, as well as the state spaces of the drift and volatility. With these estimates we can smooth and predict the drift and volatility processes and apply them to the security price prediction. On an empirical level, we first use Monte Carlo simulation to show the robustness of our estimates, and then implement HMM on various data sets of historical prices including: major indices, bonds, mutual funds, common stocks, and ETFs to back test the predicability of the model. Moreover, we compare the applicability of HMM with the well established GARCH(1,1) model, as far as the prediction performance is concerned, our results indicate HMM outperforms GARCH(1,1). | eng |
dc.description.bibref | Includes bibliographical references. | eng |
dc.identifier.merlin | b61534407 | eng |
dc.identifier.oclc | 184904748 | eng |
dc.identifier.uri | https://doi.org/10.32469/10355/4795 | eng |
dc.identifier.uri | https://hdl.handle.net/10355/4795 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject.lcsh | Estimation theory | eng |
dc.subject.lcsh | Stock exchanges | eng |
dc.subject.lcsh | Rate of return | eng |
dc.subject.lcsh | Profit | eng |
dc.subject.lcsh | Capital investments | eng |
dc.subject.lcsh | Markov processes | eng |
dc.title | Volatility estimation and price prediction using a hidden Markov model with empirical study | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Mathematics (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Doctoral | eng |
thesis.degree.name | Ph. D. | eng |