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A structural analysis of price discovery measures

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  • Yan, Bingcheng
  • Zivot, Eric
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    Abstract

    We analyze the structural determinants of two widely used measures of price discovery between multiple markets that trade closely related securities. Using a structural cointegration model, we show that both the information share (IS) and component share (CS) measures account for the relative avoidance of noise trading and liquidity shocks, but that only the IS can provide information on the relative informativeness of individual markets. In particular, the IS of one market is higher if it incorporates more new information and/or impounds less liquidity shocks. Use of the CS in conjunction with the IS can help sort out the confounding effects of the two types of shocks. Furthermore, we find that the IS only accounts for the immediate (one-period) responses of market prices to the news innovation, which implies that the IS estimates based on high sampling frequencies may be distorted by transitory frictions and may miss important price discovery dynamics.

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    Bibliographic Info

    Article provided by Elsevier in its journal Journal of Financial Markets.

    Volume (Year): 13 (2010)
    Issue (Month): 1 (February)
    Pages: 1-19

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    Handle: RePEc:eee:finmar:v:13:y:2010:i:1:p:1-19

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    Web page: http://www.elsevier.com/locate/finmar

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    Keywords: Price discovery Cointegration Information shares Permanent-transitory decomposition Structural model;

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    Cited by:
    1. Avino, Davide & Lazar, Emese & Varotto, Simone, 2013. "Price discovery of credit spreads in tranquil and crisis periods," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 242-253.
    2. Fricke, Christoph & Menkhoff, Lukas, 2011. "Does the "Bund" dominate price discovery in Euro bond futures? Examining information shares," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1057-1072, May.
    3. Theissen, Erik, 2011. "Price discovery in spot and futures markets: A reconsideration," CFR Working Papers 09-17 [rev.], University of Cologne, Centre for Financial Research (CFR).
    4. Wang, Jianxin & Yang, Minxian, 2011. "Housewives of Tokyo versus the gnomes of Zurich: Measuring price discovery in sequential markets," Journal of Financial Markets, Elsevier, vol. 14(1), pages 82-108, February.
    5. Avino, Davide & Cotter, John, 2014. "Sovereign and bank CDS spreads: two sides of the same coin?," MPRA Paper 55208, University Library of Munich, Germany.
    6. Kao, Chung-Wei & Wan, Jer-Yuh, 2012. "Price discount, inventories and the distortion of WTI benchmark," Energy Economics, Elsevier, vol. 34(1), pages 117-124.
    7. Kohler, Alexander & von Wyss, Rico, 2012. "Where does Information Processing in a Fragmented Market Take Place? – Evidence from the Swiss Stock Market after MiFID," Working Papers on Finance 1209, University of St. Gallen, School of Finance.
    8. Jos, van Bommel, 2011. "Measuring price discovery: The variance ratio, the R2, and the weighted price contribution," Finance Research Letters, Elsevier, vol. 8(3), pages 112-119, September.

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