Forecasting precious metal price movements using trader positions
In the early 2000s, the precious metal markets entered into a new phase where a steady rise of prices had been observed until the October 2008 crash. Given the size and importance of precious metal market, as well as the hedging capacity of precious metals due to their low correlation with equity markets (Draper et al., 2006), the question we want to arise is whether trader positions predict the direction of gold, platinum, and silver spot price movements. The forecasting content of the Commodity Futures Trading Commission’s Commitment of Traders report for platinum, silver and gold prices using trader positions is investigated in a VAR framework. Granger causality tests are conducted to determine whether a relation between trader positions and market prices exists. An examination of the extreme trader positions on price movements is also conducted. The results indicate that market return is a significant parameter in explaining trader’s positions for all trader types in each of the precious metal markets under consideration after the beginning of 2000s where we detect a structural break for each of the market under study. Commercial traders are found to be negative feedback traders, that is, they sell when the prices increase in the market. On the other hand, in line with the previous literature, a positive correlation between returns and positions held by non-commercial and non-reporting traders is found. However, trader’s net positions do not lead market returns in general. There is some evidence on the forecasting ability of extreme trader positions on market returns.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Wang, Changyun, 2004. "Futures trading activity and predictable foreign exchange market movements," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1023-1041, May.
- Jushan Bai, 1997. "Estimation Of A Change Point In Multiple Regression Models," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 551-563, November.
- Hansen, Bruce E, 1997.
"Approximate Asymptotic P Values for Structural-Change Tests,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 15(1), pages 60-67, January.
- Bruce E. Hansen, 1995. "Approximate Asymptotic P-Values for Structural Change Tests," Boston College Working Papers in Economics 297., Boston College Department of Economics.
- Tom Doan, . "RATS programs to replicate Hansen's examples of Andrews-Ploberger test," Statistical Software Components RTZ00087, Boston College Department of Economics.
- Leuthold, Raymond M & Garcia, Philip & Lu, Richard, 1994. "The Returns and Forecasting Ability of Large Traders in the Frozen Pork Bellies Futures Market," The Journal of Business, University of Chicago Press, vol. 67(3), pages 459-73, July.
- Buchanan, W. K. & Hodges, P. & Theis, J., 2001. "Which way the natural gas price: an attempt to predict the direction of natural gas spot price movements using trader positions," Energy Economics, Elsevier, vol. 23(3), pages 279-293, May.
- Frans A. de Roon & Theo E. Nijman & Chris Veld, 2000.
"Hedging Pressure Effects in Futures Markets,"
Journal of Finance,
American Finance Association, vol. 55(3), pages 1437-1456, 06.
- Röthig, Andreas & Chiarella, Carl, 2006.
"Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models,"
Darmstadt Discussion Papers in Economics
167, Darmstadt University of Technology, Department of Law and Economics.
- Andreas Röthig & Carl Chiarella, 2007. "Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(8), pages 719-737, 08.
- Andreas Röthig & Carl Chiarella, 2006. "Investigating Nonlinear Speculation in Cattle, Corn and Hog Futures Markets Using Logistic Smooth Transition Regression Models," Research Paper Series 172, Quantitative Finance Research Centre, University of Technology, Sydney.
- M. Illueca & J. Lafuente, 2008.
"Introducing the mini-futures contract on Ibex 35: implications for price discovery and volatility transmission,"
Spanish Economic Review,
Springer;Spanish Economic Association, vol. 10(3), pages 197-219, September.
- Juan A. Lafuente & Manuel Illueca Muñoz, 2004. "Introducing The Mini-Futures Contract On Ibex-35: Implications For Price Discovery And Volatility Transmission," Working Papers. Serie EC 2004-13, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Batten, Jonathan A. & Ciner, Cetin & Lucey, Brian M., 2010.
"The macroeconomic determinants of volatility in precious metals markets,"
Elsevier, vol. 35(2), pages 65-71, June.
- Jonathan A. Batten, Cetin Ciner and Brian M. Lucey, 2008. "The Macroeconomic Determinants of Volatility in Precious Metals Markets," The Institute for International Integration Studies Discussion Paper Series iiisdp255, IIIS.
- Bessembinder, Hendrik, 1992. "Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets," Review of Financial Studies, Society for Financial Studies, vol. 5(4), pages 637-67.
- Sanders, Dwight R. & Irwin, Scott H. & Merrin, Robert P., 2009. "Smart Money: The Forecasting Ability of CFTC Large Traders in Agricultural Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(2), August.
- Andrews, Donald W K, 1993.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Econometric Society, vol. 61(4), pages 821-56, July.
- Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
- Bessembinder, Hendrik & Seguin, Paul J, 1992. " Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-34, December.
- Bahram Adrangi & Arjun Chatruth, 1998. "Futures Commitments and Exchange Rate Volatility," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 25(3&4), pages 501-520.
- Hartzmark, Michael L, 1991. "Luck versus Forecast Ability: Determinants of Trader Performance in Futures Markets," The Journal of Business, University of Chicago Press, vol. 64(1), pages 49-74, January.
When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:37:y:2012:i:3:p:273-280. 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: (Shamier, Wendy)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.