Statistical analysis of foreign exchange rates: application of cointegration model and regime-switching stochastic volatility model

dc.contributor.advisor Stefano Athanasoulis
dc.contributor.advisor F. Jay Breidt
dc.contributor.author Kondo, Koji
dc.contributor.department Economics
dc.date 2018-08-23T18:51:14.000
dc.date.accessioned 2020-06-30T07:17:27Z
dc.date.available 2020-06-30T07:17:27Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 1997
dc.date.issued 1997
dc.description.abstract <p>The dissertation discusses an application of two statistical models to foreign exchange rate data and consists of two main parts. The first part is an application of the partial cointegration model developed by Johansen (1990) and uses the concept of weak exogeneity. While a direct application of the cointegration approach with many variables is not easy to handle, the partial model can reduce the number of the parameters to be estimated by identifying weakly exogenous variables. The method is illustrated utilizing a theoretical long-run model based on Dornbusch's sticky price model. The small country assumption is relaxed to that both countries are taken to be large. Furthermore the model is also extended to include a third country. The data set consists of monthly exchange rates, countries' money supplies, and GNPs. The three countries are Germany, Japan and the United States, thus giving a total of eight equations to be estimated. Three variables out of eight are identified as weakly exogenous variables and only five questions are estimated. Results show that there exist three cointegrating relations among the variables. One relation can be interpreted as long-run money market equilibrium while the other two relations, though considered to be long-run in nature, can not be interpreted in an economically meaningful way. Variance decomposition and impulse response analysis are conducted to investigate the dynamic of the system;In the second part of the dissertation a regime-switching stochastic volatility (RSV) model is applied to daily exchange rate data. The model is used to capture possible changing volatility of the exchange rate over time. The RSV model recommends itself since it is the more natural method to apply, as opposed to using ARCH and GARCH models. The main drawback however, is that it is the more complicated to implement. A Markov chain technique is used as an estimation method. By imposing interest rate parity, the relationship between exchange rate and foreign and domestic interest rate difference is also simultaneously examined. The results indicate that interest rate difference does not affect the level and the volatility of exchange rates. This finding supports the random walk theory of exchange rates. On the other hand two different regimes, a high-volatility regime and a low-volatility regime, are discovered and well modeled. The development of a forecasting model will be the subject for future studies.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/11998/
dc.identifier.articleid 12997
dc.identifier.contextkey 6760606
dc.identifier.doi https://doi.org/10.31274/rtd-180813-13276
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/11998
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/65316
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/11998/r_9814658.pdf|||Fri Jan 14 19:02:59 UTC 2022
dc.subject.disciplines Economics
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Economics
dc.subject.keywords Statistics
dc.title Statistical analysis of foreign exchange rates: application of cointegration model and regime-switching stochastic volatility model
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 4c5aa914-a84a-4951-ab5f-3f60f4b65b3d
thesis.degree.level dissertation
thesis.degree.name Doctor of Philosophy
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