Two Stage Markov Switching Model: Identifying the Indonesian Rupiah Per US Dollar Turning Points Post 1997 Financial Crisis

Mendy, David and Widodo, Tri (2018): Two Stage Markov Switching Model: Identifying the Indonesian Rupiah Per US Dollar Turning Points Post 1997 Financial Crisis.

Abstract

This paper aims to identify the Indonesia rupiah per US dollar turning points using a regime switching model. Firstly, to detect if nonlinear model suits the data at hand, the BDS test and CUSUM of square test was used and the results indicates that a nonlinear model suits the data. The paper then proceeds by using a univariate two state Markov Switching autoregressive model (MSAR) developed by Hamilton (1989), Engel and Hamilton (1990) to capture regime shifts behaviour in both the mean and the variance of the Indonesian rupiah per US dollar exchange rate between 2000 to 2015. The empirical evidence indicates strong transition probabilities suggesting that only extreme events can switch the series from an appreciation regime to a depreciation regime vice versa. Moreover, the results of the MSAR model was found to successfully capture the timing of the regime shifts of the Indonesian rupiah per US dollar exchange rate because of government intervention, Indonesian presidential elections, US financial crises of 2008, and the Indonesian current account deficit in 2013. Finally, the non-linear exchange rate dynamic of the Indonesian rupiah implied that regime-switching models have potential important implication for the macroeconomic literature documenting the effect of monetary policy shock and political environment on the economic aggregates. Furthermore, regime-switching models is well suited to capture the non-linearities in exchanges rate.

• Item Type: MPRA Paper
• Language: English
• Keywords: Exchange rates (Indonesian Rupiah per US Dollar), Nonlinearity, Markov switching model(MSAR)
• Subjects: E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit

References

Akaike, H. (1973). Maximum likelihood identification of Gaussian autoregressive moving average models. Biometrika, 60(2), 255–265.

Alvarez, F., Atkeson, A., & Kehoe, P. J. (2005). If Exchange Rates Are Random Walks , Then Almost Everything We Say About Monetary Policy is Wrong. Federal Reserve Bank of Minneapolis Quarterly Review, 32(1), 2–9. https://doi.org/10.1257/aer.97.2.339

Bailliu, J., & King, M. R. (2005). What Drives Movements in Exchange Rates ? Bank of Canada Review, 3–16.

Barnett, W. A., Gallant, A. R., Hinich, M. J., & Kaplan, D. T. (1997). A Single-Blind Controlled Competition among Tests for Nonlinearity and Chaos. Journal of Econometrics.

Bergman, U. M., & Hansson, J. (2005). Real exchange rates and switching regimes. Journal of International Money and Finance, 24(1), 121–138. https://doi.org/10.1016/j.jimonfin.2004.10.002

Bollen, N. P. B., Gray, S. F., & Whaley, R. E. (2000). Regime switching in foreign exchange rates: Evidence from surrency option prices. Journal of Econometrics, 94, 239–276.

Brock, W. A., Dechert, W. D., & Scheinkman, J. A. (1987). A Test for Independence Based on The Correlation Dimension. Department of Economics, University of Wisconsin at Madison, University of Houston, and University of Chicago.

Brooks, C. (2008). Introductory Econometrics for Finance. The Economic Journal (Second Edi, Vol. 113). https://doi.org/10.1111/1468-0297.13911

Calvo and Carmen M. Reinhart. (2002). Fear of Floating*. Quarterly Journal of Economics, 117(2), 379–408.

Dijk, F. and. (2000). Nonlinear Time Series Models. Camprbrige University Press.

Edwards, K., & Sahminan, S. (2008). Exchange Rate Movements in Indonesia: Determinants, Effects, and policy challenges. Working Paper, 1–32.

Engel. (1994). Can the Markov switching model forecast exchange rates ? Journal of International Economies, 36(1994), 151–165.

Engel, C., & Hakkio, C. S. (1996). The Distribution of Exchange Rates in the EMS. International Journal of Finance and Economics, 1(April 1995).

Engel and Hamiton. (1990). Long swings in the dollar: are they in the data and do market know it? American Economic Review, 80, 687–713.

Flood, R. P., & K.Rose, A. (1995). Fixing exchange rates A virtual quest for fundamentals. Journal of Monetary Economics, 36(1), 3–37.

Goeltom, M. S. (2008). The Transmission Mechanisms of Monetary Policy in Indonesia. BIS Papers, 35(35), 309–332.

Granger, C. W. J. (1993). Strategies for modelling nonlinear time-series relationships. The Economic Record, 69, 233–238.

Hamilton, J. D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2), 357–384. https://doi.org/10.3982/ECTA5989

Hutabarat. (2006). comment on “monetary policy approach and implimentation in Asia ” by Reberro S Mariano and P Villanueua. BIS Parpers, 227–231.

Ismail, M. T., & Isa, Z. (2007). Detecting regime shifts in Malaysian exchange rates. Journal of Fundamental Science, 3, 211–224.

Lee, H. Y., & Chen, S. L. (2006). Why use Markov-switching models in exchange rate prediction? Economic Modelling, 23(4), 662–668. https://doi.org/10.1016/j.econmod.2006.03.007

Martin D. D. Evans &Karen K. Lewis. (1995). Do Long-Term Swings in the Dollar Affect Estimates of the Risk Preniia ? Review of Financail Studies, 8(3), 709–742.

Nikolsko-Rzhevskyy, A., & Prodan, R. (2011). Markov Switching and Exchange Rate Predictability. SSRN Electronic Journal, (April 2011). https://doi.org/10.2139/ssrn.1455248

Pan, W. (2001). Akaike â€TM s Information Criterion in Generalized Estimating Equations. BIOMETRI, 57(1), 120–125.

Rogoff, K. (1996). Do they fit out of sample ? Journal of International Economics, 14(1983), 3–24.

Sarno, L., & Taylor, M. P. (2001). The Microstructure of The Foreign-Exchange Market: A Selective Survey of The Literature.

Saxena, S. C. (2002). Exchange rate dynamics in Indonesia: 1980-1998. Journal of Asian Economics, 13(4), 545–563. https://doi.org/10.1016/S1049-0078(02)00146-X

Scheinkman, B. D. and. (1987). A Test for Indepence based on correlation dimension.

Shen, C. H., & Chen, S. W. (2004). Long swing in appreciation and short swing in depreciation and does the market not know it ?— the case of Taiwan. International Economic Journal, 18, No. 2(December 2014), 195–213. https://doi.org/10.1080/1016873042000228330

Stephane Goutte, B. Z. (2011). Foreign exchange rates under Markov Regime switching model, 1–29.

Warjiyo, P. (2013). Indonesia: stabilizing the exchange rate along its fundamental. BIS Paper, (73), 177–187.

Zivot, E., & Wang, J. (2006). modelling financail time series Nonlinear Time Series Models. https://doi.org/10.1016/0169-7439(95)00060-7