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On Robust Testing and Modelling of Threshold-Type Non-Linearity in ASEAN Foreign Exchange Markets

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  • Chan Wai-Sum

    (The Chinese University of Hong Kong)

  • Hung King-Chi

    (The Chinese University of Hong Kong)

Abstract

There are many situations in which insurance companies operating in the Asian region encounter foreign exchange risk. This paper considers a stochastic threshold approach to modelling foreign exchange risks in some Association of Southeast Asian Nations (ASEAN) markets. The class of self-exciting threshold autoregressive (SETAR) models is used. These models are able to capture the exchange rate band phenomenon that has been discussed in the monetary economics literature. Both ordinary least squares and robust modelling procedures are considered.

Suggested Citation

  • Chan Wai-Sum & Hung King-Chi, 2011. "On Robust Testing and Modelling of Threshold-Type Non-Linearity in ASEAN Foreign Exchange Markets," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 5(2), pages 1-16, July.
  • Handle: RePEc:bpj:apjrin:v:5:y:2011:i:2:n:3
    DOI: 10.2202/2153-3792.1110
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    References listed on IDEAS

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    1. E.O. Svensson, Lars, 1994. "Why exchange rate bands? : Monetary independence in spite of fixed exchange rates," Journal of Monetary Economics, Elsevier, vol. 33(1), pages 157-199, February.
    2. Hansen, Bruce E, 1996. "Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis," Econometrica, Econometric Society, vol. 64(2), pages 413-430, March.
    3. Terui, Nobuhiko & van Dijk, Herman K., 2002. "Combined forecasts from linear and nonlinear time series models," International Journal of Forecasting, Elsevier, vol. 18(3), pages 421-438.
    4. Krugman, Paul & Miller, Marcus, 1993. "Why have a target zone?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 38(1), pages 279-314, June.
    5. Ruey S. Tsay, 1988. "Non‐Linear Time Series Analysis Of Blowfly Population," Journal of Time Series Analysis, Wiley Blackwell, vol. 9(3), pages 247-263, May.
    6. John Mange, 2000. "Measuring Foreign Exchange Risk in Insurance Transactions," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(2), pages 88-100.
    7. Wai-Sum Chan & Albert Wong & Howell Tong, 2004. "Some Nonlinear Threshold Autoregressive Time Series Models for Actuarial Use," North American Actuarial Journal, Taylor & Francis Journals, vol. 8(4), pages 37-61.
    8. Zhang, Li-Xin & Chan, Wai-Sum & Cheung, Siu-Hung & Hung, King-Chi, 2009. "A note on the consistency of a robust estimator for threshold autoregressive processes," Statistics & Probability Letters, Elsevier, vol. 79(6), pages 807-813, March.
    9. Van Dijk, Dick & Franses, Philip Hans & Lucas, Andre, 1999. "Testing for Smooth Transition Nonlinearity in the Presence of Outliers," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(2), pages 217-235, April.
    10. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
    11. King Chi Hung & Siu Hung Cheung & Wai-Sum Chan & Li-Xin Zhang, 2009. "On a robust test for SETAR-type nonlinearity in time series analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 445-464.
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