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

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  • 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
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    1. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    2. 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.
    3. Clark, Todd E. & West, Kenneth D., 2006. "Using out-of-sample mean squared prediction errors to test the martingale difference hypothesis," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 155-186.
    4. 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.
    5. 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.
    6. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    7. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    8. Niehans, Jurg, 1981. "Static deviations from purchasing-power parity," Journal of Monetary Economics, Elsevier, vol. 7(1), pages 57-68.
    9. 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.
    10. Michael P. Dooley & David Folkerts-Landau & Peter M. Garber, 2004. "The US Current Account Deficit and Economic Development: Collateral for a Total Return Swap," NBER Working Papers 10727, National Bureau of Economic Research, Inc.
    11. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    12. Virginie Coudert & Cécile Couharde, 2005. "Real Equilibrium Exchange Rate in China," Working Papers 2005-01, CEPII research center.
    13. Chao, John & Corradi, Valentina & Swanson, Norman R., 2001. "Out-Of-Sample Tests For Granger Causality," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 598-620, September.
    14. 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 Group, vol. 52(2), pages 246-275, June.
    15. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
    16. 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.
    17. 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.
    18. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    19. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    20. 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.
    21. 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 Emerging Economies (BOFIT).
    22. repec:zbw:bofitp:2012_002 is not listed on IDEAS
    23. 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.
    24. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
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    4. 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.
    5. Harendra Behera & Rajiv Ranjan & Sajjid Chinoy, 2022. "Does offshore NDF market influence onshore forex market? Evidence from India," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1167-1185, June.
    6. 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.
    7. Tie‐Ying Liu & Chien‐Chiang Lee, 2022. "Exchange rate fluctuations and interest rate policy," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3531-3549, July.
    8. Moussa K. Fall, 2017. "Trade Flows Versus Capital Flows: Are China’s Trade Surpluses Overestimated?," International Economic Journal, Taylor & Francis Journals, vol. 31(3), pages 448-461, July.
    9. 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.
    10. 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.
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    More about this item

    Keywords

    Prediction; Bayesian forecasting; Out-of-sample Granger tests of causality; Nested models; VAR; Bayesian VAR;
    All these keywords.

    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

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