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Informed Trading in Parallel Bond Markets

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Author Info
Paiardini, Paola ()
Abstract

In this paper we investigate the presence of asymmetric information in the parallel trading of ten-year government fixed rate bonds (BTP) on two secondary electronic platforms: the business-to-business (B2B) MTS platform and the business-to-customer (B2C) BondVision one. The two platforms are typified by a different degree of transparency. We investigate whether the probability to encounter an informed trader on the less transparent market is higher than the corresponding probability on the more transparent one. Our results show that on BondVision, that is the less transparent platform, the probability of encountering an informed trader is higher. Finally we perform a series of tests to check the robustness of our estimates. Two tests do not meet the hypothesis of independence. Nevertheless, these findings do not controvert the hypothesis of our model, but call for further analysis.

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Publisher Info
Paper provided by University of Molise, Dept. SEGeS in its series Economics & Statistics Discussion Papers with number esdp09053.

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Length: 53 pages
Date of creation: 09 Sep 2009
Date of revision:
Handle: RePEc:mol:ecsdps:esdp09053

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Related research
Keywords: Market microstructure; Informed trading; Parallel trading; Transparency;

Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

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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.:
  1. Easley, David & O'Hara, Maureen & Saar, Gideon, 2001. "How Stock Splits Affect Trading: A Microstructure Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(01), pages 25-51, March. [Downloadable!]
  2. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March. [Downloadable!] (restricted)
    Other versions:
  3. Easley, David, et al, 1996. " Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-36, September. [Downloadable!] (restricted)
    Other versions:
  4. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November. [Downloadable!] (restricted)
  5. David Easley & Maureen O'Hara & P.S. Srinivas, 1998. "Option Volume and Stock Prices: Evidence on Where Informed Traders Trade," Journal of Finance, American Finance Association, vol. 53(2), pages 431-465, 04. [Downloadable!] (restricted)
  6. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September. [Downloadable!] (restricted)
  7. Grammig, Joachim & Schiereck, Dirk & Theissen, Erik, 2001. "Knowing me, knowing you: : Trader anonymity and informed trading in parallel markets," Journal of Financial Markets, Elsevier, vol. 4(4), pages 385-412, October. [Downloadable!] (restricted)
  8. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
  9. Brown, Philip & Thomson, Nathanial & Walsh, David, 1999. "Characteristics of the order flow through an electronic open limit order book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 335-357, November. [Downloadable!] (restricted)
  10. Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December. [Downloadable!]
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