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Robust information share measures with an application on the international crude oil markets

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  • Hong Li
  • Yanlin Shi

Abstract

This paper proposes a robust estimation approach of the popular information share using a robust vector error correction model. Via simulation studies, we show that the proposed measures lead to more accurate estimates than the existing measures in the presence of outliers. The proposed measures are then investigated using high‐frequency crude oil prices data of the West Texas Intermediate and Brent over November 2019–October 2020. The results suggest that the abnormally large price movement in April 2020 may cause biased estimates of the ordinary measures, whereas the robust measures produce rather consistent results.

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  • Hong Li & Yanlin Shi, 2022. "Robust information share measures with an application on the international crude oil markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 555-579, April.
    • Handle: RePEc:wly:jfutmk:v:42:y:2022:i:4:p:555-579
    DOI: 10.1002/fut.22292
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    as
    1. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011. "Bayesian inference in a time varying cointegration model," Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
    2. Atle Oglend & Hans‐Martin Straume, 2020. "Futures market hedging efficiency in a new futures exchange: Effects of trade partner diversification," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(4), pages 617-631, April.
    3. Timothy J. Vogelsang, 1999. "Two Simple Procedures for Testing for a Unit Root When There are Additive Outliers," Journal of Time Series Analysis, Wiley Blackwell, vol. 20(2), pages 237-252, March.
    4. de Jong, Frank, 2002. "Measures of contributions to price discovery: a comparison," Journal of Financial Markets, Elsevier, vol. 5(3), pages 323-327, July.
    5. Van Aelst, Stefan & Willems, Gert, 2013. "Fast and Robust Bootstrap for Multivariate Inference: The R Package FRB," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 53(i03).
    6. Ozturk, Sait R. & van der Wel, Michel & van Dijk, Dick, 2017. "Intraday price discovery in fragmented markets," Journal of Financial Markets, Elsevier, vol. 32(C), pages 28-48.
    7. Donald Lien & Zijun Wang, 2016. "Estimation of Market Information Shares: A Comparison," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(11), pages 1108-1124, November.
    8. Yang, Zheng & Tian, Zheng & Yuan, Zixia, 2007. "GSA-based maximum likelihood estimation for threshold vector error correction model," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 109-120, September.
    9. Philipp Adämmer & Martin T. Bohl & Christian Gross, 2016. "Price Discovery in Thinly Traded Futures Markets: How Thin is Too Thin?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(9), pages 851-869, September.
    10. Avino, Davide & Lazar, Emese & Varotto, Simone, 2015. "Time varying price discovery," Economics Letters, Elsevier, vol. 126(C), pages 18-21.
    11. Masih, A. Mansur M. & Masih, Rumi, 2002. "Propagative causal price transmission among international stock markets: evidence from the pre- and postglobalization period," Global Finance Journal, Elsevier, vol. 13(1), pages 63-91.
    12. Salibian-Barrera, Matias & Van Aelst, Stefan & Willems, Gert, 2006. "Principal Components Analysis Based on Multivariate MM Estimators With Fast and Robust Bootstrap," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1198-1211, September.
    13. Donald Lien & Keshab Shrestha, 2014. "Price Discovery in Interrelated Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 34(3), pages 203-219, March.
    14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    15. Donald Lien & Keshab Shrestha, 2009. "A new information share measure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(4), pages 377-395, April.
    16. Kaufmann, Robert K. & Banerjee, Shayan, 2014. "A unified world oil market: Regions in physical, economic, geographic, and political space," Energy Policy, Elsevier, vol. 74(C), pages 235-242.
    17. Kaufmann, Robert K., 2016. "Price differences among crude oils: The private costs of supply disruptions," Energy Economics, Elsevier, vol. 56(C), pages 1-8.
    18. Shi, Yanlin & Feng, Lingbing, 2016. "A discussion on the innovation distribution of the Markov regime-switching GARCH model," Economic Modelling, Elsevier, vol. 53(C), pages 278-288.
    19. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).
    20. Kaufmann, Robert K., 2011. "The role of market fundamentals and speculation in recent price changes for crude oil," Energy Policy, Elsevier, vol. 39(1), pages 105-115, January.
    21. Dragan Miljkovic, 1999. "The Law of One Price in International Trade: A Critical Review," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 21(1), pages 126-139.
    22. Franses, Philip Hans & Lucas, Andre, 1998. "Outlier Detection in Cointegration Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 459-468, October.
    23. Protopapadakis, Aris & Stoll, Hans R, 1983. "Spot and Futures Prices and the Law of One Price," Journal of Finance, American Finance Association, vol. 38(5), pages 1431-1455, December.
    24. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    25. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    26. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    27. Grammig, Joachim & Peter, Franziska J., 2013. "Telltale Tails: A New Approach to Estimating Unique Market Information Shares," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 459-488, April.
    28. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    29. Hasbrouck, Joel, 2002. "Stalking the "efficient price" in market microstructure specifications: an overview," Journal of Financial Markets, Elsevier, vol. 5(3), pages 329-339, July.
    30. Baillie, Richard T. & Geoffrey Booth, G. & Tse, Yiuman & Zabotina, Tatyana, 2002. "Price discovery and common factor models," Journal of Financial Markets, Elsevier, vol. 5(3), pages 309-321, July.
    31. Maslyuk, Svetlana & Smyth, Russell, 2009. "Cointegration between oil spot and future prices of the same and different grades in the presence of structural change," Energy Policy, Elsevier, vol. 37(5), pages 1687-1693, May.
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