slot gacor slot gacor hari ini slot gacor 2025 demo slot pg slot gacor slot gacor
PEMODELAN MARKOV SWITCHING AUTOREGRESSIVE | Ariyani | Jurnal Gaussian skip to main content

PEMODELAN MARKOV SWITCHING AUTOREGRESSIVE


Citation Format:
Abstract

Transition from depreciation to appreciation of exchange rate is one of regime switching that ignored by classic time series model, such as ARIMA, ARCH, or GARCH. Therefore, economic variables are modeled by Markov Switching Autoregressive (MSAR) which consider the regime switching. MLE is not applicable to parameters estimation because regime is an unobservable variable. So that filtering and smoothing process are applied to see the regime probabilities of observation. Using this model, transition probabilities and duration of the regime can be informed. In this case conducted exchange rate of Rupiah to US Dollar modeling with MSAR. The best model is MS(2)-AR(1) with transition probabilities from depreciation to appreciation is 0,052494 and appreciation to depreciation is 0,746716. Duration of the depreciation state is 19,04986 days and appreciation state is 1,339198 days.

Fulltext View|Download
Keywords: regime switching; markov switching autoregressive; markov chain; transition probabilities; filtering and smoothing

Article Metrics:

Last update:

No citation recorded.

Last update:

No citation recorded.