Financial Integration from a Time-Varying Cointegration Perspective
This paper applies a time-varying cointegration (TVC) model to study regional financial integration, measured by the drifting cointegration coefficient of the long-term interest rates between Singapore and Malaysia. Conditioned on long-run exchange rate equilibrium, the evolving relation can be used to test the hypothesis of uncovered interest parity (UIP) in the strong and weak forms, and examine how the integration changes over time on the basis of the long-term interest rates measure. In the case of Singapore and Malaysia, the findings show that financial integration first decreased after the 1997 Asian Financial Crisis and then enhanced gradually from late 2001 onward. The shocks to Singapore, characterized by a higher level and a leading effect, are positively correlated with the ones to Malaysia.
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- Bierens, Herman J. & Martins, Luis F., 2010. "Time-Varying Cointegration," Econometric Theory, Cambridge University Press, vol. 26(05), pages 1453-1490, October.
- Martin Feldstein & Charles Horioka, 1979.
"Domestic Savings and International Capital Flows,"
NBER Working Papers
0310, National Bureau of Economic Research, Inc.
- Gary Koop & Roberto Leon-Gonzales & Rodney W Strachan, 2011.
"Bayesian Inference in a Time Varying Cointegration Model,"
CAMA Working Papers
2011-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011. "Bayesian inference in a time varying cointegration model," Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
- John Geweke & Gianni Amisano, 2007.
"Hierarchical Markov Normal Mixture Models with Applications to Financial Asset Returns,"
0705, University of Brescia, Department of Economics.
- John Geweke & Gianni Amisano, 2011. "Hierarchical Markov normal mixture models with applications to financial asset returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 1-29, January/F.
- Geweke, John & Amisano, Gianni, 2007. "Hierarchical Markov normal mixture models with applications to financial asset returns," Working Paper Series 0831, European Central Bank.
- Christopher A. Sims & Daniel F. Waggoner & Tao Zha, 2006.
"Methods for inference in large multiple-equation Markov-switching models,"
FRB Atlanta Working Paper
2006-22, Federal Reserve Bank of Atlanta.
- Sims, Christopher A. & Waggoner, Daniel F. & Zha, Tao, 2008. "Methods for inference in large multiple-equation Markov-switching models," Journal of Econometrics, Elsevier, vol. 146(2), pages 255-274, October.
- John F. Geweke, 1995.
"Bayesian reduced rank regression in econometrics,"
540, Federal Reserve Bank of Minneapolis.
- Chib, Siddhartha, 1996. "Calculating posterior distributions and modal estimates in Markov mixture models," Journal of Econometrics, Elsevier, vol. 75(1), pages 79-97, November.
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