Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Correlation Pattern among 'Asian Paper Tigers' Currencies: A Dynamic Conditional Correlation Approach

Rozaimah Zainudin and Jacinta Chan Phooi Mng
Department of Finance and Banking, Faculty of Business and Accountancy, University of Malaya, 50603 Kuala Lumpur, Malaysia
Research Journal of Applied Sciences, Engineering and Technology  2014  17:3663-3670
http://dx.doi.org/10.19026/rjaset.7.720  |  © The Author(s) 2014
Received: November 26, 2013  |  Accepted: December 05, 2013  |  Published: May 05, 2014

Abstract

This study attempts to investigate the Dynamic Conditional Correlation (DCC) for eight currencies in the East Asia region, known as Asian Paper Tigers from the period of July 2002 to July 2012. The estimation results generated from DCC model verify that each tested exchange rate's volatility is determined by its own previous volatility shock, however failed to find any evidence with its own residual shock. While for correlation estimation results, we support the evidence that the conditional correlations for all tested pairs currencies are highly affected by their previous correlation. Most of the Asian Paper Tigers currencies recorded a low conditional correlation over the tested sampling period except for CNYJPY, MYRCNY, MYRIDR, MYRTHB, JPYTHB and PHPKRW. The findings further verify that mixing the currencies within different monetary regime plays a significant role in enhancing the currency portfolio diversification results. Although in unstable period, both JPYTHB and MYRJPY are the most promising combinations to be included in the optimal currency investment basket where both pairs have small and stable correlations either during the global recession period or European liquidity crisis period.

Keywords:

Asian paper tigers, correlation, crisis, currencies, DCC, diversification,


References

  1. Baig, T. and I. Goldfajn, 1999. Financial Market Contagion in the Asian Crisis. IMF Staff Papers, 46: 167-195.
    CrossRef    
  2. Beine, M., A. Cosmo and R. Vermaulen, 2010. The dark side of global integration: Increasing tail dependence. J. Bank. Financ., 34(1): 184-192.
    CrossRef    
  3. Benediktsdóttir, S. and C. Scotti, 2009. Exchange Rate Dependence: What Drives it? International Finance Discussion Papers, Board of Governors of the Federal Reserve System, US, pp: 969.
  4. Bennett, P. and J. Kelleher, 1988. The international transmission of stock price disruption in october 1987. Fed. Reserve Bank New York Quart. Rev., 13(2): 17-33.
  5. Bollerslev, T., 1990. Modeling the coherence in short-run nominal exchange rates: A multivariate generalized arch model. Rev. Econ. Stat., 72(3): 498-505.
    CrossRef    
  6. Bong-Han, K., K. Hyeongwoo and M. Hong Ghi, 2011. Reassessing the link between the Japanese Yen and emerging Asian currencies. J. Int. Money Financ., 33: 306-326.
  7. Caillault, C. and D. Guégan, 2007. Empirical estimation of tail dependence using copulas: Application to Asian markets. Quant. Financ., 5(5): 489-501.
    CrossRef    
  8. Engle, R., 2002. Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J. Bus. Econ. Stat., 20(3): 339-50.
    CrossRef    
  9. Fortin, I. and C. Kuzmics, 2002. Tail-dependence in stock-return pairs. Intell. Syst. Account. Financ. Manage., 11(2): 89-107.
    CrossRef    
  10. Hauksson, H., M. Dacorogna, T. Domenig, U. Müller and G. Samorodnitsky, 2001. Multivariate extremes, aggregation and risk estimation. Quant. Financ., 1: 79-95.
    CrossRef    
  11. King, M. and S. Wadhwani, 1990. Transmission of volatility between stock markets. Rev. Financ. Stud., 3: 5-33.
    CrossRef    
  12. Kohler, M., 2010. Exchange rates during financial crises. BIS Quart. Rev., 2010(March): 39-50.
  13. Li, W.M., 2011. How do exchange rates co-move? A study on the currencies of five inflation-targeting countries. J. Bank. Financ., 35: 418-429.
    CrossRef    
  14. Li, L., N. Zhang and T. Willet, 2012. Measuring macroeconomic and financial market interdependence: A critical survey. J. Financ. Econ. Policy, 4(2): 128-145.
    CrossRef    
  15. Makridakis, S. and S. Wheelwright, 1974. An analysis of the interrelationships among the major world stock exchanges. J. Bus. Financ. Account., 1(2): 195-215.
    CrossRef    
  16. Melvin, M. and M. Taylor, 2009. The crisis in the foreign exchange market. J. Int. Money Financ., 28: 1317-1330.
    CrossRef    
  17. Mizuno, T., H. Takayasu and M. Takayasu, 2006. Correlation network among currencies. Physica A, 364: 336-342.
    CrossRef    
  18. Patton, A., 2006. Modelling asymmetric exchange rate dependence. Int. Econ. Rev., 47: 527-556.
    CrossRef    
  19. Solnik, B., 1974. The international pricing of risk: An empirical investigation of the world capital market strucutre. J. Financ., 2: 365-378.
    CrossRef    
  20. Solnik, B., C. Boucrelle and Y. Le Fur, 1996. International market correlation and volatility. Financ. Anal. J., 52: 17-34.
    CrossRef    
  21. Tamakoshi, G. and S. Hamori, 2013. Dynamic linkages among cross-currency swap markets under stress. Appl. Econ. Lett., 20(4): 404-409.
    CrossRef    
  22. Tse, T.K. and K.C. Tsui, 2000. A multivariate GARCH model with time-varying correlations. Proceeding of the Econometric Society World Congress 2000 Contributed Papers 0250, Econometric Society.
    CrossRef    
  23. Zhang, N., 2011. Contagion and the spread of the recent global crisis to Asia: The effect of the transmission on equity markets. Ph.D. Thesis, Claremont Graduate University, Claremont, C.A.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved