Common Stochastic Trends Among Asian Currencies: Evidence for Japan, Aseans, and the Asian Tigers

Common Stochastic Trends Among Asian Currencies: Evidence for Japan, Aseans, and the Asian Tigers This study documents that daily changes in Asian exchange rates are significantly non-normal, serially correlated, non-stationary, and have unit roots. Further, accounting for these time series properties and using a longer time horizon than other similar studies of exchange rates, this study also documents cointegration between the Japanese Yen and two sets of Asian currencies, i.e., currencies of the 'Tigers', Hong Kong, South Korea, Singapore, and Taiwan; and currencies of the ASEANs, Malaysia, Philippines, Thailand, and Singapore. These findings of cointegration among Asian exchange rates are in contrast to the findings for the major currencies, and are evidence of nascent Yen blocs in Asia. The results presented here have important implications for understanding Asian financial integration and the international role of the Japanese yen and should be useful for developing asset allocation, currency overlay, value at risk (VAR), and hedging strategies for investments in these often illiquid Asian currencies. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Review of Quantitative Finance and Accounting Springer Journals

Common Stochastic Trends Among Asian Currencies: Evidence for Japan, Aseans, and the Asian Tigers

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1998 by Kluwer Academic Publishers
Subject
Finance; Corporate Finance; Accounting/Auditing; Econometrics; Operation Research/Decision Theory
ISSN
0924-865X
eISSN
1573-7179
D.O.I.
10.1023/A:1008247823487
Publisher site
See Article on Publisher Site

References

  • Cross Hedging Currency Risks in Asian Emerging Markets Using Derivatives in the Major Currencies
    Aggarwal, R.; DeMaskey, A.
  • Common Stochastic Trends in a System of Exchange Rates
    Baillie, R.T.; Bollerslev, T.
  • Cointegration, Fractional Cointegration, and Exchange Rate Dynamics
    Baillie, R.T.; Bollerslev, T.

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