IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v22y2013icp37-49.html
   My bibliography  Save this article

Yen/Dollar volatility and Chinese fear of floating: Pressures from the NDF market

Author

Listed:
  • Gu, Li
  • McNelis, Paul D.

Abstract

This paper examines financial market data to assess the likelihood of Renminbi appreciation and its implications for Chinese financial markets, given the continuing volatility of the exchange rate between the US Dollar and the Japanese Yen. Using VAR and Bayesian VAR estimation, we find that the 3-month Non-deliverable Forward premia are a key series which link Yen/Dollar volatility to financial market movements in China through speculative pressure. By contrast, the NDF market for the Korean Won, based on more flexible spot exchange market and open access by domestic banks, plays little or no role linking Yen/Dollar to domestic currency or financial markets in Korea.

Suggested Citation

  • Gu, Li & McNelis, Paul D., 2013. "Yen/Dollar volatility and Chinese fear of floating: Pressures from the NDF market," Pacific-Basin Finance Journal, Elsevier, vol. 22(C), pages 37-49.
  • Handle: RePEc:eee:pacfin:v:22:y:2013:i:c:p:37-49
    DOI: 10.1016/j.pacfin.2012.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X12000649
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Chao, John & Corradi, Valentina & Swanson, Norman R., 2001. "Out-Of-Sample Tests For Granger Causality," Macroeconomic Dynamics, Cambridge University Press, vol. 5(04), pages 598-620, September.
    2. Jeffrey Frankel, 2006. "On the Yuan: The Choice between Adjustment under a Fixed Exchange Rate and Adjustment under a Flexible Rate," CESifo Economic Studies, CESifo, vol. 52(2), pages 246-275, June.
    3. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, May.
    4. Fang, Ying & Huang, Shicheng & Niu, Linlin, 2012. "De facto currency baskets of China and East Asian economies : The rising weights," BOFIT Discussion Papers 2/2012, Bank of Finland, Institute for Economies in Transition.
    5. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 379-408.
    6. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    7. Guonan Ma & Corrinne Ho & Robert N McCauley, 2004. "The markets for non-deliverable forwards in Asian currencies," BIS Quarterly Review, Bank for International Settlements, June.
    8. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    9. Colavecchio, Roberta & Funke, Michael, 2008. "Volatility transmissions between renminbi and Asia-Pacific on-shore and off-shore U.S. dollar futures," China Economic Review, Elsevier, vol. 19(4), pages 635-648, December.
    10. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    11. Yin-Wong Cheung & Menzie D. Chinn & Eiji Fujii, 2008. "Pitfalls in Measuring Exchange Rate Misalignment: The Yuan and Other Currencies," NBER Working Papers 14168, National Bureau of Economic Research, Inc.
    12. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    13. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    14. Niehans, Jurg, 1981. "Static deviations from purchasing-power parity," Journal of Monetary Economics, Elsevier, vol. 7(1), pages 57-68.
    15. Park, Jinwoo, 2001. "Information flows between non-deliverable forward (NDF) and spot markets: Evidence from Korean currency," Pacific-Basin Finance Journal, Elsevier, vol. 9(4), pages 363-377, August.
    16. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    17. Virginie Coudert & C├ęcile Couharde, 2005. "Real Equilibrium Exchange Rate in China," Working Papers 2005-01, CEPII research center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael O'Neill & Kent Wang & Zhangxin (Frank) Liu & Tom Smith, 2016. "A State-Price Volatility Index for China's Stock Market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 607-626, September.
    2. Jiadong Tong & Zijun Wang & Jian Yang, 2016. "Information Flow Between Forward and Spot Markets: Evidence From the Chinese Renminbi," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(7), pages 695-718, July.
    3. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.
    4. Wang, Kai-Li & Fawson, Christopher & Chen, Mei-Ling & Wu, An-Chi, 2014. "Characterizing information flows among spot, deliverable forward and non-deliverable forward exchange rate markets: A cross-country comparison," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 115-137.

    More about this item

    Keywords

    Prediction; Bayesian forecasting; Out-of-sample Granger tests of causality; Nested models; VAR; Bayesian VAR;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

    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:eee:pacfin:v:22:y:2013:i:c:p:37-49. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.