Abstract
This paper examines the price discovery process of the nascent gold futures contracts in the Multi Commodity Exchange of India (MCX) over the period 2003 to 2007. The study employs vector error correction models (VECMs) to show that futures prices of both standard and mini contracts lead spot price. We find that mini contracts contribute to over 30% of price discovery in gold futures trade even though they account for only 2% of trading value on the MCX. Our finding reveals that trades initiated in mini contracts are much more informative than what the size of their market share of volume suggests.
Similar content being viewed by others
Notes
Mendelson (1987) defines a fragmented market as one where orders are decomposed into a number of disjoint subsets and when an asset is traded in a number of different locations.
For example, the Chicago Board of Trade (CBOT) offers full (100 oz) and mini gold (33.2 oz) futures contracts. The MCX offers standard (1 kg) and mini gold futures (100 g) contracts.
As the world’s second largest retail consumer of gold, China has recently introduced gold futures trading earlier in 2008.
MCX accounts for over half of gold futures trading activity in India. Both MCX and NCDEX have similar structures. However, activity on NCDEX is largely driven by regional domestic crops whereas activity on MCX revolves around precious metals and crude oil.
Among the three major national commodity exchanges, MCX account for almost 60% of total commodity trading.
Large size gold futures contracts, known as High Net worth Individual contracts for trading unit of 3 kg was available earlier. However, due to limited interest, these contracts only existed only for a short period of time. To target smaller traders, MCX also launched an even smaller contract size of 8 g called the “Gold Guinea” on May 8, 2008.
See details of proof in Baille et al. (2002).
To determine the appropriate number of lags, we first consider specifying a VAR order p, and obtain the optimal number of lags equal to five according to Schwarz information criterion (SIC). This criterion is applicable for choosing the number of lagged differences in a VECM because p − 1 lagged differences in a VECM correspond to a VAR order p. (See Lütkepohl (2005)). Hence, for consistency and comparability, our VECMs will use the lag length of four throughout the paper.
Note that the trading unit of mini gold futures is 100 g per contract. Based on the cumulative gold trading volume of 460,543 kg for the mini contracts, this works out to be approximately 4.61 ((460,543 kg × 1,000 g)/100 g) million contracts or 17% of total contracts traded over the sample period.
Although not shown, we perform VAR models between returns of standard and mini contracts and between the volume of standard and mini contracts and find that the price and volume of mini contracts follow the trend of standard contracts.
References
Baille R, Booth GG, Tse Y, Zabotina T (2002) Price discovery and common factor models. J Financ Mark 5:309–321. doi:10.1016/S1386-4181(02)00027-7
Bessimbinder H, Kaufman HM (1997) A cross-exchange comparison of execution costs and information flow for NYSE-listed stocks. J Financ Econ 46:293–319. doi:10.1016/S0304-405X(97)00032-9
Blume L, Easley D, O’Hara M (1994) Market statistics and technical analysis: the role of volume. J Finance 49:153–181. doi:10.2307/2329139
Chan K, Chan KC, Karolyi G (1991) Intraday volatility in the stock index and stock index futures market. Rev Financ Stud 4:657–684. doi:10.1093/rfs/4.4.657
Chowdhry B, Nanda V (1991) Multi-market trading and market liquidity. Rev Financ Stud 4:483–511. doi:10.1093/rfs/4.3.483
Dempster N (2006) The role of gold in India. gold report, September, world gold council.
Engle R, Granger C (1987) Cointegration, and error correction representation, estimation and testing. Econometrica 55:251–276. doi:10.2307/1913236
Garbade KD, Silber WL (1983) Price movement and price discovery in futures and cash markets. Rev Econ Stat 65:289–297. doi:10.2307/1924495
Hasbrouck J (1995) One security, many markets: determining the location of price discovery. J Finance 50:1175–1199. doi:10.2307/2329348
Hasbrouck J (2003) Intraday price formation in U.S. equity index. J Finance 58:2375–2399. doi:10.1046/j.1540-6261.2003.00609.x
Karande K (2006) A study of castor seed futures market in India. Indira Gandhi Institute of Development Research, Mumbai, India
Kawaller IG, Koch PD, Koch TW (1987) The temporal relationship between S&P 500 futures and the S&P 500 Index. J Finance 42:1309–1329. doi:10.2307/2328529
Kurov A, Lasser D (2004) Price dynamics in the regular and E-mini futures markets. J Financ Quant Anal 39:365–384
Lütkepohl H (2005) New introduction to multiple time series analysis. Springer
Martens M (1998) Price discovery in high and low volatility periods: open outcry versus electronic trading. J Int Financ Mark Inst Money 8:243–260. doi:10.1016/S1042-4431(98)00044-4
Mendelson H (1987) Consolidation, fragmentation, and market performance. J Financ Quant Anal 22:189–207. doi:10.2307/2330712
Min JH, Najand M (1999) A further investigation of the lead–lag relationship between the spot market and stock index futures: early evidence from Korea. J Futures Mark 19:217–232. doi:10.1002/(SICI)1096-9934(199904)19:2<217::AID-FUT5>3.0.CO;2-8
Pizzi M, Economopoulos A, O’Neill H (1998) An examination of the relationship between stock index cash and futures market: a cointegration approach. J Futures Mark 18:297–305. doi:10.1002/(SICI)1096-9934(199805)18:3<297::AID-FUT4>3.0.CO;2-3
Stoll HR, Whaley RE (1990) The dynamics of stock index and stock index futures returns. J Financ Quant Anal 25:441–468. doi:10.2307/2331010
Silvapulle P, Moosa IA (1999) The relationship between spot and futures prices: evidence from the crude oil market. J Futures Mark 19:175–193. doi:10.1002/(SICI)1096-9934(199904)19:2<175::AID-FUT3>3.0.CO;2-H
Theissen E (2002) Price discovery in floor and screen trading systems. J Empir Finance 9:455–474. doi:10.1016/S0927-5398(02)00005-1
Tse Y, Xiang J (2005) Market quality and price discovery: Introduction of the E-mini energy futures. Glob Finance J 16:164–179. doi:10.1016/j.gfj.2005.04.001
Wang Y, Chung H, Yang Y (2007) The market fragmentation impact of E-mini futures on the liquidity of open-outcry index futures. Int Res J Finance Econ 12:165–180
Acknowledgements
We would like to thank anonymous referees of this journal. The authors acknowledge research support from the Master in Finance program, Thammasat Business School.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Rights and permissions
About this article
Cite this article
Pavabutr, P., Chaihetphon, P. Price discovery in the Indian gold futures market. J Econ Finan 34, 455–467 (2010). https://doi.org/10.1007/s12197-008-9068-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12197-008-9068-9