IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v40y2008i4p491-504.html
   My bibliography  Save this article

Regime-switching analysis for the impacts of exchange rate volatility on corporate values: a Taiwanese case

Author

Listed:
  • Chien-Chung Nieh
  • Jeng-Bau Lin
  • Yu-Shan Wang

Abstract

A second-moment, regime-switching model with not only a switching intercept and a switching slope, but also a switching error variance, is applied to examine the impacts of exchange rate volatility (ERV) on corporate values (CV) for the 10 industries investigated in Taiwan. Two different regimes categorized as strong-impact and weak-impact are identified. The dominant power varies from one industry to another. The Wald statistics for the null of equality are ambiguous, which show that if the Markov-switching (MS) model is plausible, then the ERV might not be one major factor, but another factor that could switch the CV of Taiwan's industries. For the model's volatility influence, the data of 8 out of 10 industries are shown to fit a two-state model when the volatility is stimulated. A two-state, first-order MS model is appropriate for the 'goodness of fit' analysis at the 10% significant level.

Suggested Citation

  • Chien-Chung Nieh & Jeng-Bau Lin & Yu-Shan Wang, 2008. "Regime-switching analysis for the impacts of exchange rate volatility on corporate values: a Taiwanese case," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 491-504.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:4:p:491-504
    DOI: 10.1080/00036840600690066
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840600690066
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840600690066?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Munehisa Kasuya, 2005. "Regime-switching approach to monetary policy effects," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 307-326.
    2. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    3. Guglielmo Maria Caporale & Nicola Spagnolo, 2004. "Modelling East Asian exchange rates: a Markov-switching approach," Applied Financial Economics, Taylor & Francis Journals, vol. 14(4), pages 233-242.
    4. Chau-Jung Kuo & Su-Lien Lu, 2005. "Taiwan's financial holding companies: an empirical investigation based on Markov regime-switching model," Applied Economics, Taylor & Francis Journals, vol. 37(5), pages 593-605.
    5. Dueker, Michael J, 1997. "Markov Switching in GARCH Processes and Mean-Reverting Stock-Market Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 26-34, January.
    6. Huntley Schaller & Simon Van Norden, 1997. "Regime switching in stock market returns," Applied Financial Economics, Taylor & Francis Journals, vol. 7(2), pages 177-191.
    7. Udo Broll & Bernhard Eckwert, 1999. "Exchange Rate Volatility and International Trade," Southern Economic Journal, Southern Economic Association, vol. 66(1), pages 178-185, July.
    8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    9. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    10. Chien-Chung Nieh, 2002. "The effect of the Asian financial crisis on the relationships among open macroeconomic factors for Asian countries," Applied Economics, Taylor & Francis Journals, vol. 34(4), pages 491-502.
    11. Rana, Pradumna B., 1981. "Exchange rate risk under generalized floating : Eight Asian countries," Journal of International Economics, Elsevier, vol. 11(4), pages 459-466, November.
    12. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    13. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
    14. Udo Broll & Bernhard Eckwert, 1999. "Exchange Rate Volatility and International Trade," Southern Economic Journal, John Wiley & Sons, vol. 66(1), pages 178-185, July.
    15. Franke, Gunter, 1991. "Exchange rate volatility and international trading strategy," Journal of International Money and Finance, Elsevier, vol. 10(2), pages 292-307, June.
    16. M. Kabir Hassan & David R. Tufte, 1998. "Exchange rate volatility and aggregate export growth in Bangladesh," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 189-201, February.
    17. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    18. repec:bla:econom:v:44:y:1977:i:174:p:163-78 is not listed on IDEAS
    19. Tsung Wu Ho, 2000. "Testing the hypothesis of Phillips curve trade-off: a regime switching approach," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 645-647.
    20. Gupta, Kanhaya L, 1980. "Some Controversial Aspects of the Demand for Money: A Note," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 12(4), pages 660-665, November.
    21. Cushman, David O., 1983. "The effects of real exchange rate risk on international trade," Journal of International Economics, Elsevier, vol. 15(1-2), pages 45-63, August.
    22. Hamilton, James D & Gang, Lin, 1996. "Stock Market Volatility and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 573-593, Sept.-Oct.
    23. Chou, W. L., 2000. "Exchange Rate Variability and China's Exports," Journal of Comparative Economics, Elsevier, vol. 28(1), pages 61-79, March.
    24. Tsung Wu Ho, 2000. "Regime-switching investment-saving correlation and international capital mobility," Applied Economics Letters, Taylor & Francis Journals, vol. 7(9), pages 619-622.
    25. Sukar, Abdul-Hamid & Hassan, Seid, 2001. "US exports and time-varying volatility of real exchange rate," Global Finance Journal, Elsevier, vol. 12(1), pages 109-119.
    26. Pozo, Susan, 1992. "Conditional Exchange-Rate Volatility and the Volume of International Trade: Evidence from the Early 1900s," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 325-329, May.
    27. Ho-Chuan Huang, 2000. "Tests of regimes - switching CAPM," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 573-578.
    28. T. -W. Ho, 2003. "Regime-switching properties of the optimal seigniorage hypothesis: the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 485-494.
    29. Dimitris Kirikos, 2000. "Forecasting exchange rates out of sample: random walk vs Markov switching regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 133-136.
    30. Smith, C. E., 1999. "Exchange rate variation, commodity price variation and the implications for international trade," Journal of International Money and Finance, Elsevier, vol. 18(3), pages 471-491.
    31. Amato, Amedeo & Tronzano, Marco, 2000. "Fiscal policy, debt management and exchange rate credibility: Lessons from the recent Italian experience," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 921-943, June.
    32. Li-Hsueh Chen, 2001. "Inflation, real short-term interest rates, and the term structure of interest rates: a regime-switching approach," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 393-400.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chung-Ming Kuan, 2013. "Markov switching model (in Russian)," Quantile, Quantile, issue 11, pages 13-40, December.
    2. Liu, Wen-Hsien & Chyi, Yih-Luan, 2006. "A Markov regime-switching model for the semiconductor industry cycles," Economic Modelling, Elsevier, vol. 23(4), pages 569-578, July.
    3. Chien-Chung Nieh & Jeng-Bau Lin & Yu-shan Wang, 2008. "Exchange rate uncertainty and corporate values: evidence from Taiwan," Applied Financial Economics, Taylor & Francis Journals, vol. 18(14), pages 1181-1192.
    4. Aloui, Chaker & Jammazi, Rania, 2009. "The effects of crude oil shocks on stock market shifts behaviour: A regime switching approach," Energy Economics, Elsevier, vol. 31(5), pages 789-799, September.
    5. Kasahara, Hiroyuki & Shimotsu, Katsumi, 2019. "Asymptotic properties of the maximum likelihood estimator in regime switching econometric models," Journal of Econometrics, Elsevier, vol. 208(2), pages 442-467.
    6. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrey & Kulikov, Alexander, 2019. "Модель Реального Обменного Курса Рубля С Марковскими Переключениями Режимов [Modeling real exchange rate of the Russian ruble using Markov regime-switching approach]," MPRA Paper 93310, University Library of Munich, Germany.
    7. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    8. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, November.
    9. E. M. Ekanayake & John R. Ledgerwood & Sabrina D’Souza, 2010. "The Real Exchange Rate Volatility And U.S. Exports: An Empirical Investigation," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 23-35.
    10. King, Daniel & Botha, Ferdi, 2015. "Modelling stock return volatility dynamics in selected African markets," Economic Modelling, Elsevier, vol. 45(C), pages 50-73.
    11. Hiroyuki Kasahara & Katsumi Shimotsu, 2017. "Asymptotic Properties of the Maximum Likelihood Estimator in Regime Switching Econometric Models," CIRJE F-Series CIRJE-F-1049, CIRJE, Faculty of Economics, University of Tokyo.
    12. T. -W. Ho, 2003. "Regime-switching properties of the optimal seigniorage hypothesis: the case of Taiwan," Applied Economics, Taylor & Francis Journals, vol. 35(4), pages 485-494.
    13. Kuang‐Liang Chang & Chi‐Wei He, 2010. "Does The Magnitude Of The Effect Of Inflation Uncertainty On Output Growth Depend On The Level Of Inflation?," Manchester School, University of Manchester, vol. 78(2), pages 126-148, March.
    14. Polbin, Andrey & Shumilov, Andrei & Bedin, Andrei & Kulikov, Alexander, 2019. "Modeling real exchange rate of the Russian ruble using Markov regime switching approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 32-50.
    15. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & George Kouretas, 2005. "Regime Switching and Artificial Neural Network Forecasting," Working Papers 0502, University of Crete, Department of Economics.
    16. Muhsin Kar & Tayfur Bayat & Selim Kayhan, 2016. "Impacts of Credit Default Swaps on Volatility of the Exchange Rate in Turkey: The Case of Euro," IJFS, MDPI, vol. 4(3), pages 1-18, July.
    17. Eleni Constantinou & Robert Georgiades & Avo Kazandjian & Georgios P. Kouretas, 2006. "Regime switching and artificial neural network forecasting of the Cyprus Stock Exchange daily returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 371-383.
    18. Francois Chesnay & Eric Jondeau, 2001. "Does Correlation Between Stock Returns Really Increase During Turbulent Periods?," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 30(1), pages 53-80, February.
    19. John M. Maheu & Thomas H. McCurdy & Yong Song, 2012. "Components of Bull and Bear Markets: Bull Corrections and Bear Rallies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 391-403, February.
    20. Chih-Nan Chen & Chien-Hsiu Lin, 2022. "Optimal carry trade portfolio choice under regime shifts," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 483-506, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:40:y:2008:i:4:p:491-504. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.