Skip to main content

Copper Price Discovery on COMEX, 2006–2015

  • Conference paper
  • First Online:
Contemporary Trends and Challenges in Finance

Abstract

We estimate a VEC DCC-MGARCH model on the weekly sampled price series of 3 mostly traded copper futures on COMEX maturing within 2, 3 and 4 months in the period 4 Jan 2006–30 Dec 2015 and find that they are co-integrated and symmetrically revert to their long run equilibrium relation. We also reveal the existence of Granger causality running in both directions for all pairs of maturities. More interestingly, we observe 3 periods of an increased conditional volatility of the returns on copper futures resulting from the change of market sentiment that is due to the fall of risk appetite after the release of the April 2006 Global Financial Stability Report, the collapse of the Lehman Brothers Holdings Inc. in September 2008, as well as the next stage of the Greek financial crisis preceding the agreement to write-off 50% of the Greek debt in October 2011. At all times their conditional correlations remain almost stable and are close to one, however.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    In case ϕ 0 ≠ 0, ϕ 1 ≠ 1, and ϕ 2 ≠ 1 the expectations are biased.

  2. 2.

    Note that f t+0,t = s t

  3. 3.

    The results of these tests are available from the authors upon a request.

  4. 4.

    We have also tested for symmetric vs. asymmetric co-integration on copper futures spreads using the threshold co-integration approach of Enders and Siklos (2001) but cannot reject the null of symmetry for various adjustment processes. This yields that a symmetric VECM should properly exhibit the dynamics of copper futures prices.

  5. 5.

    The results of these tests are available from the authors upon a request.

References

  • Agostini CA (2006) Estimating market power in the US copper industry. Rev Ind Organ 28:17–39

    Article  Google Scholar 

  • Aruga K, Managi S (2011) Price linkages in the copper futures, primary, and scrap markets. Resour Conserv Recycl 56:43–47

    Article  Google Scholar 

  • Casassus J, Collin-Dufrenese P (2005) Stochastic convenience yield implied from commodity futures and interest rates. J Financ 60(5):2283–2331

    Article  Google Scholar 

  • Chan WH, Young D (2006) Jumping hedges: an examination of movements in copper spot and future markets. J Futur Mark 26(2):169–188

    Article  Google Scholar 

  • Elliott G, Rothenberg TJ, Stock JH (1996) Efficient tests for auto-regressive unit root. Econometrica 64(4):813–836

    Article  Google Scholar 

  • Enders W, Siklos PL (2001) Cointegration and threshold adjustment. J Bus Econ Stat 19:166–176

    Article  Google Scholar 

  • Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation and testing. Econometrica 55:251–276

    Article  Google Scholar 

  • Figuerola-Ferretti I, Gilbert CL, Yan J (2014) Copper price discovery on Comex, the LME and the SHFE, 2001–2013, Universidad Carlos III de Madrid. Working Paper Business Economic Series 2 (14-04)

    Google Scholar 

  • Fung H-G, Leung WK, Xu XE (2003) Information flows between the US and China commodity futures trading. Rev Quant Finan Acc 21:267–285

    Article  Google Scholar 

  • Fung H-G, Liu QW, Tse Y (2010) The information flow and market efficiency between the US and Chinese aluminum and copper futures markets. J Futur Mark 30(12):1192–1209

    Article  Google Scholar 

  • Hammoudeh S, Chen L-H, Fattouh B (2010) Asymmetric adjustments in oil and metals markets. Energy J 31(4):183–203

    Article  Google Scholar 

  • Hansen BE, Seo B (2002) Testing for two regime threshold co-integration in vector-correction models. J Econ 110:293–318

    Article  Google Scholar 

  • Hardouvelis GA, Kim D (1995) Margin requirements, price fluctuations, and market participation in metal futures. J Money Credit Bank 27(3):659–671

    Article  Google Scholar 

  • Hua R, Lu B, Chen B (2010) Price discovery process in copper markets: is Shanghai futures market relevant? Rev Futur Mark 18(3)

    Google Scholar 

  • Kocagil AE (1997) Does futures speculation stabilize spot prices? Evidence from metals markets. Appl Financ Econ 7:115–125

    Article  Google Scholar 

  • Krehbiei T, Adkins LC (1993) Cointegration tests of the unbiased expectations hypothesis in metals markets. J Futur Mark 13(7):753–763

    Article  Google Scholar 

  • Kwiatkowski D, Phillips PCB, Schmidt P, Shin Y (1992) Testing the null hypothesis of stationarity against the alternative of a unit root. J Econ 54:159–178

    Article  Google Scholar 

  • Li XD, Zhang B (2009) Price discovery for copper futures in informationally linked markets. Appl Econ Lett 16(15):1555–1558

    Article  Google Scholar 

  • Liu Q, An Y (2011) Information transmission in informationally linked markets: evidence from US and Chinese commodity futures markets. J Int Money Financ 30:778–795

    Article  Google Scholar 

  • Lütkepohl H (2005) New introduction to multiple time series analysis. Springer, Berlin

    Book  Google Scholar 

  • Mou D (2014) Can China gain commodity pricing power by developing futures markets? J Chin Econ 2(1):34–52

    Google Scholar 

  • Nowman KB, Wang H (2001) Modelling commodity prices using continuous time models. Appl Econ Lett 8:341–345

    Article  Google Scholar 

  • Roberts MC (2009) Duration and characteristics of metal price cycles. Res Policy 34:87–102

    Article  Google Scholar 

  • Rutledge RW, Khondkar K, Ruojing W (2013) International copper futures market price linkage and information transmission: empirical evidence from the primary world copper markets. J Int Bus Res 12(1):113–131

    Google Scholar 

  • Schwartz E (1997) The stochastic behavior of commodity prices: implications for valuation and hedging. J Financ 52(3):923–973

    Article  Google Scholar 

  • Tse YK, Tsui AKC (2002) A multivariate generalized autoregressive conditional heteroscedasticity model with time-varying correlations. J Bus Econ Stat 20(3):351–362

    Article  Google Scholar 

  • Watkins C, McAleer M (2006) Pricing of non-ferrous metals futures on the London Metal Exchange. Appl Financ Econ 16(12):853–880

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paweł Miłobędzki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Chylińska, M., Miłobędzki, P. (2017). Copper Price Discovery on COMEX, 2006–2015. In: Jajuga, K., Orlowski, L., Staehr, K. (eds) Contemporary Trends and Challenges in Finance. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-54885-2_6

Download citation

Publish with us

Policies and ethics