Exchange rates and markov switching dynamics
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
|Journal / Publication||Journal of Business and Economic Statistics|
|Publication status||Published - Jul 2005|
|Link to Scopus||https://www.scopus.com/record/display.uri?eid=2-s2.0-22544463975&origin=recordpage|
This article presents a systematic and extensive empirical study on the presence of Markov switching dynamics in three dollar-based exchange rates. A Monte Carlo approach is adopted to circumvent the statistical inference problem inherent to the test of regime-switching behavior. Two data frequencies, two sample periods, and various specifications are considered. Quarterly data yield inconclusive evidence; the test rejects neither random walk nor Markov switching. Monthly data, on the other hand, offer unambiguous evidence of the presence of Markov switching dynamics. The results suggest that data frequency, in addition to sample size, is crucial for determining the number of regimes. © 2005 American Statistical Association.
- Exchange rate dynamics, Monte Carlo test, Regime switching, Sampling frequency