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Empirical Economics

, Volume 57, Issue 5, pp 1653–1675 | Cite as

Asymmetric arbitrage trading on offshore and onshore renminbi markets

  • Sercan EraslanEmail author
Article

Abstract

This paper investigates the asymmetries in arbitrage trading with onshore and offshore renminbi spot rates, focusing on the time-varying driving factors behind the deviations of the two rates from their long-run equilibrium. Fundamentally, offshore and onshore renminbi rates represent the same economic quantity and hence should be driven by the same pricing mechanism. However, the two exchange rates deviate remarkably from each other, creating arbitrage opportunities over many days. For the empirical analysis, I build a three-regime threshold vector error correction model with offshore and onshore spot rates and further regime-dependent explanatory variables. The model is estimated in different periods in order to consider the impact of appreciation and depreciation expectations on possible arbitrage trading. The estimation results suggest that directional expectations, global risk sentiment and local as well as global liquidity conditions dominate the adjustment process in the absence of arbitrage trading when the offshore rate is stronger than its onshore counterpart. However, the error correction mechanism of the offshore (onshore) rate towards its equilibrium with the onshore (offshore) rate is driven by the arbitrage trading due to a relatively weaker (stronger) offshore (onshore) rate in the upper regime in times of appreciation (depreciation) expectations.

Keywords

Threshold cointegration Vector error correction model Arbitrage trading Renminbi exchange rates Onshore and offshore markets 

JEL Classification

C32 F31 G15 

Notes

Acknowledgements

I thank Robert Kunst and two anonymous referees for their valuable suggestions. I also thank Gerald P. Dwyer, Christoph Fischer and Malte Knüppel as well as participants at the \(21\mathrm{st}\) International Conference on Macroeconomic Analysis and International Finance 2017 in Rethymno, Greece, and at the \(2\mathrm{nd}\) Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance 2015 at the Institute for Advanced Studies for their helpful comments. This paper was partly written, while the author was a doctoral student at the University of Hamburg. I am grateful to Michael Funke for bringing the idea of possible arbitrage trading on offshore and onshore renminbi markets to my attention.

References

  1. Balke NS, Fomby TB (1997) Threshold cointegration. Int Econ Rev 38(3):627–645.  https://doi.org/10.2307/2527284 CrossRefGoogle Scholar
  2. Beber A, Breedon F, Buraschi A (2010) Differences in beliefs and currency risk premiums. J Financ Econ 98(3):415–438.  https://doi.org/10.1016/j.jfineco.2010.07.001 CrossRefGoogle Scholar
  3. Beckmann J, Schssler R (2016) Forecasting exchange rates under parameter and model uncertainty. J Int Money Finance 60:267–288.  https://doi.org/10.1016/j.jimonfin.2015.07.001 CrossRefGoogle Scholar
  4. Beckmann J, Berger T, Czudaj R (2015) Does gold act as a hedge or a safe haven for stocks? A smooth transition approach. Econ Model 48:16–24.  https://doi.org/10.1016/j.econmod.2014.10.044 CrossRefGoogle Scholar
  5. Brunnermeier MK, Nagel S, Pedersen LH (2008) Carry trades and currency crashes. Working Paper 14473, National Bureau of Economic Research. http://www.nber.org/papers/w14473
  6. Byrne JP, Korobilis D, Ribeiro PJ (2016) Exchange rate predictability in a changing world. J Int Money Finance 62:1–24.  https://doi.org/10.1016/j.jimonfin.2015.12.001 CrossRefGoogle Scholar
  7. Byrne JP, Korobilis D, Ribeiro PJ (2018) On the sources of uncertainty in exchange rate predictability. Int Econ Rev.  https://doi.org/10.1111/iere.12271 CrossRefGoogle Scholar
  8. Campa JM, Chang PHK, Reider RL (1998) Implied exchange rate distributions: evidence from OTC option markets. J Int Money Finance 17(1):117–160.  https://doi.org/10.1016/S0261-5606(97)00054-5 CrossRefGoogle Scholar
  9. Carr P, Wu L (2007) Stochastic skew in currency options. J Financ Econ 86(1):213–247.  https://doi.org/10.1016/j.jfineco.2006.03.010 CrossRefGoogle Scholar
  10. Chan KS (1993) Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model. Ann Stat 21(1):520–533.  https://doi.org/10.1214/aos/1176349040 CrossRefGoogle Scholar
  11. Cheung YW, Erlandsson UG (2005) Exchange rates and Markov switching dynamics. J Bus Econ Stat 23(3):314–320.  https://doi.org/10.1198/073500104000000488 CrossRefGoogle Scholar
  12. Cheung YW, Rime D (2014) The offshore renminbi exchange rate: microstructure and links to the onshore market. J Int Money Finance 49, Part A:170–189.  https://doi.org/10.1016/j.jimonfin.2014.05.012 CrossRefGoogle Scholar
  13. Committee on Global Financial System (2011) Global liquidity—concept, measurement and policy implications. CGFS Papers 45Google Scholar
  14. Craig RS, Hua C, Ng P, Yuen R (2013) Development of the renminbi Market in Hong Kong SAR: assessing onshore-offshore market integration. IMF Working Paper 13/268, International Monetary Fund, http://ideas.repec.org/p/imf/imfwpa/13-268.html
  15. Dickey DA, Fuller WA (1979) Distribution of the estimators for autoregressive time series with a unit root. J Am Stat Assoc 74(366a):427–431.  https://doi.org/10.1080/01621459.1979.10482531 CrossRefGoogle Scholar
  16. Dwyer GP, Locke P, Yu W (1996) Index arbitrage and nonlinear dynamics between the S&P 500 futures and cash. Rev Financ Stud 9(1):301–332.  https://doi.org/10.1093/rfs/9.1.301 CrossRefGoogle Scholar
  17. Enders W, Siklos PL (2001) Cointegration and threshold adjustment. J Bus Econ Stat 19(2):166–176.  https://doi.org/10.1198/073500101316970395 CrossRefGoogle Scholar
  18. Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55(2):251–276.  https://doi.org/10.2307/1913236 CrossRefGoogle Scholar
  19. Funke M, Shu C, Cheng X, Eraslan S (2015) Assessing the CNH–CNY pricing differential: role of fundamentals, contagion and policy. J Int Money Finance 59:245–262.  https://doi.org/10.1016/j.jimonfin.2015.07.008 CrossRefGoogle Scholar
  20. Gagnon JE, Troutman K (2014) Internationalization of the renminbi: the role of trade settlement. Peterson Institute for International Economics Policy Briefs PB14-15, Peterson Institute for International Economics, Washington. https://ideas.repec.org/p/iie/pbrief/pb14-15.html
  21. Gefang D (2012) Money-output causality revisited—a Bayesian logistic smooth transition VECM perspective. Oxford Bull Econ Stat 74(1):131–151.  https://doi.org/10.1111/j.1468-0084.2011.00652.x CrossRefGoogle Scholar
  22. Gefang D, Strachan R (2010) Nonlinear impacts of international business cycles on the UK—a Bayesian smooth transition VAR approach. Stud Nonlinear Dyn Econom 14(1):1558–3708.  https://doi.org/10.2202/1558-3708.1677 CrossRefGoogle Scholar
  23. Granger CWJ, Lee TH (1989) Investigation of production, sales and inventory relationships using multicointegration and non-symmetric error correction models. J Appl Econom 4(S1):S145–S159.  https://doi.org/10.1002/jae.3950040508 CrossRefGoogle Scholar
  24. Hansen BE (2000) Sample splitting and threshold estimation. Econometrica 68(3):575–603.  https://doi.org/10.1111/1468-0262.00124 CrossRefGoogle Scholar
  25. Hansen BE, Seo B (2002) Testing for two-regime threshold cointegration in vector error-correction models. J Econom 110(2):293–318.  https://doi.org/10.1016/S0304-4076(02)00097-0 CrossRefGoogle Scholar
  26. Hosking JRM (1981) Equivalent forms of the multivariate portmanteau statistic. J R Stat Soc Ser B (Methodol) 43(2):261–262. http://www.jstor.org/stable/2984857
  27. Huber F (2015) Forecasting exchange rates using multivariate threshold models. BE J Macroecon 16(1):193–210.  https://doi.org/10.1515/bejm-2015-0032 CrossRefGoogle Scholar
  28. Hui CH, Wong J, Li KF (2013) Price disparities between mainland China’s onshore and offshore financial markets. In: Wong MCS, Chan WFC (eds) Investing in Asian offshore currency markets, global financial markets. Palgrave Macmillan, Basingstoke, pp 54–69.  https://doi.org/10.1057/9781137034649_5 CrossRefGoogle Scholar
  29. Li KF, Hui CH, Chung TK (2012) Determinants and dynamics of price disparity in onshore and offshore renminbi forward exchange rate markets. Hong Kong Institute for Monetary Research Working Paper No 24/2012. http://www.hkimr.org/uploads/publication/337/wp-no-24_2012-final-.pdf
  30. Lo MC, Zivot E (2001) Threshold cointegration and nonlinear adjustment to the law of one price. Macroeconomic Dyn 5(04):533–576CrossRefGoogle Scholar
  31. Luukkonen R, Saikkonen P, Tersvirta T (1988) Testing linearity against smooth transition autoregressive models. Biometrika 75(3):491–499.  https://doi.org/10.1093/biomet/75.3.491 CrossRefGoogle Scholar
  32. Maziad S, Kang JS (2012) RMB internationalization: onshore/offshore links. IMF Working Paper 12/133, International Monetary Fund. http://papers.ssrn.com/abstract=2127027
  33. Pesaran H, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58(1):17–29.  https://doi.org/10.1016/S0165-1765(97)00214-0 CrossRefGoogle Scholar
  34. Phillips PCB, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75(2):335–346.  https://doi.org/10.1093/biomet/75.2.335 CrossRefGoogle Scholar
  35. Reinhart C, Khan MS (1995) Capital flows in the APEC Region. IMF Occasional Paper 122, International Monetary Fund. https://ideas.repec.org/p/imf/imfocp/122.html
  36. Reitz S, Taylor MP (2013) Exchange rates in target zones: evidence from the Danish Krone. Kiel Working Paper 1827, Kiel. http://hdl.handle.net/10419/69522
  37. Sarno L, Taylor MP, Chowdhury I (2004) Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study. J Int Money Finance 23(1):1–25.  https://doi.org/10.1016/j.jimonfin.2003.10.004 CrossRefGoogle Scholar
  38. Seo M (2006) Bootstrap testing for the null of no cointegration in a threshold vector error correction model. J Econom 134(1):129–150.  https://doi.org/10.1016/j.jeconom.2005.06.018 CrossRefGoogle Scholar
  39. Shu C, He D, Cheng X (2015) One currency, two markets: the renminbi’s growing influence in Asia-Pacific. China Econ Rev 33:163–178.  https://doi.org/10.1016/j.chieco.2015.01.013 CrossRefGoogle Scholar
  40. Taylor AM (2001) Potential pitfalls for the purchasing-power-parity puzzle? Sampling and specification biases in mean-reversion tests of the law of one price. Econometrica 69(2):473–498.  https://doi.org/10.1111/1468-0262.00199 CrossRefGoogle Scholar
  41. Tersvirta T (1994) Specification, estimation, and evaluation of smooth transition autoregressive models. J Am Stat Assoc 89(425):208–218.  https://doi.org/10.1080/01621459.1994.10476462 CrossRefGoogle Scholar
  42. Tong H (1983) Threshold models in non-linear time series analysis. Lecture notes in statistics, vol 21. Springer, New York.  https://doi.org/10.1007/978-1-4684-7888-4 CrossRefGoogle Scholar
  43. Tong H (1990) Non-linear time series: a dynamical system approach. Oxford University Press, Oxford. http://eprints.lse.ac.uk/6212/
  44. Tsay RS (1986) Nonlinearity tests for time series. Biometrika 73(2):461–466.  https://doi.org/10.1093/biomet/73.2.461 CrossRefGoogle Scholar
  45. Tsay RS (1989) Testing and modeling threshold autoregressive processes. J Am Stat Assoc 84(405):231–240.  https://doi.org/10.1080/01621459.1989.10478760 CrossRefGoogle Scholar
  46. Tsay RS (1998) Testing and modeling multivariate threshold models. J Am Stat Assoc 93(443):1188–1202.  https://doi.org/10.1080/01621459.1998.10473779 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Deutsche BundesbankFrankfurt am MainGermany

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