Markov switching models with time-varying transition probabilities address the limitations of the earlier methods in the early warning system literature on currency crises. Most of the Markov switching models in the literature are largely based on univariate models of exchange rate fluctuations. In this thesis, the components of the index of speculative pressure are modeled using the Markov Switching VAR with time-varying transition probabilities of Martinez Peria (2002). Two approaches, both of which are derived from this model, are taken to determine the probability of a currency crisis: the probability of a turbulent regime and the expected value of the index of speculative pressure. This study shows that the Markov Switching VAR model with time-varying transition probabilities is a good method to use in building an early warning system of a currency crisis. Results show significant improvement on predicting the Asian Financial Crisis by signaling its occurrence at an earlier period with a higher probability when the probability of a turbulent regime approach is employed. It is also more sensitive in detecting turbulent periods that are not necessarily currency crises and therefore renders itself useful in short-term forecasting of speculative pressure episodes. The leading indicators of the Asian Financial Crisis identified in this study are real effective exchange rate, export growth, GDP growth, real domestic credit, M2 ratio, deposits to M2 ratio and non-FDI flows.
|School:||Singapore Management University (Singapore)|
|Department:||School of Economics|
|School Location:||Republic of Singapore|
|Source:||MAI 49/03M, Masters Abstracts International|
|Subjects:||Asian Studies, Finance|
|Keywords:||Autoregressive modelling, Economic impact, Markov-switching models, Maximum likelihood, Recessions, Time-varying transition probabilities|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be