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Using matched samples to test for differences in trade execution costs

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  • Davies, Ryan J.
  • Kim, Sang Soo

Abstract

This paper provides guidance on how to use matched samples to test for differences in trade execution costs (e.g., quoted and effective spreads). Based on extensive simulation results, we conclude that the best practice is to match firms one-to-one based on market capitalization and share price, and to test for differences between the matched pairs using a Wilcoxon signed rank test. We demonstrate that pre-sorting by industry groups or discarding apparent poor matches may reduce test power. We show that, in general, tests based on one-to-one nearest-neighbor matching have comparable power and less size distortion than alternatives that place more weight on distant firms. We find that matching without replacement can reduce size distortion when the control sample is relatively small. We highlight conditions under which matched sample estimation may be preferred to the corresponding event study.

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Bibliographic Info

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

Volume (Year): 12 (2009)
Issue (Month): 2 (May)
Pages: 173-202

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Handle: RePEc:eee:finmar:v:12:y:2009:i:2:p:173-202

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

Related research

Keywords: Matched samples Market microstructure Bid-ask spreads;

References

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Citations

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Cited by:
  1. Pavabutr, Pantisa & Sirodom, Kulpatra, 2010. "Stock splits in a retail dominant order driven market," Pacific-Basin Finance Journal, Elsevier, vol. 18(5), pages 427-441, November.
  2. Arie E. Gozluklu & Pietro Perotti & Barbara Rindi & Roberta Fredella, 2013. "Removing the Trade Size Constraint? Evidence from the Italian Market Design," Working Papers 493, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  3. Tobias R. Rühl & Michael Stein, 2014. "The impact of financial transaction taxes: Evidence from Italy," Economics Bulletin, AccessEcon, vol. 34(1), pages 25-33.
  4. Perotti, Pietro & Rindi, Barbara, 2010. "Market makers as information providers: The natural experiment of STAR," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 895-917, December.
  5. Gajewski, Jean-Francois & Gresse, Carole, 2007. "Centralised order books versus hybrid order books: A paired comparison of trading costs on NSC (Euronext Paris) and SETS (London Stock Exchange)," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2906-2924, September.
  6. Michael Chlistalla & Marco Lutat, 2011. "Competition in securities markets: the impact on liquidity," Financial Markets and Portfolio Management, Springer, vol. 25(2), pages 149-172, June.
  7. Agarwal, Vikas & Boyson, Nicole M. & Naik, Narayan Y., 2007. "Hedge funds for retail investors? An examination of hedged mutual funds," CFR Working Papers 07-04, University of Cologne, Centre for Financial Research (CFR).
  8. : Arie E. Gozluklu & : Pietro Perotti & : Barbara Rindi & : Roberta Fredella, 2013. "Removing the Trade Size Constraint? Evidence from the Italian Market Design," Working Papers wpn13-11, Warwick Business School, Finance Group.
  9. Liu, Jerry W. & Wort, Donald H., 2009. "One-to-many matching: An alternative trading cost comparison technique," Global Finance Journal, Elsevier, vol. 20(1), pages 48-66.
  10. Allen, Linda & Gottesman, Aron A. & Peng, Lin, 2012. "The impact of joint participation on liquidity in equity and syndicated bank loan markets," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 50-78.
  11. Das, Sanjiv & Kalimipalli, Madhu & Nayak, Subhankar, 2014. "Did CDS trading improve the market for corporate bonds?," Journal of Financial Economics, Elsevier, vol. 111(2), pages 495-525.
  12. Hendershott, Terrence & Moulton, Pamela C., 2011. "Automation, speed, and stock market quality: The NYSE's Hybrid," Journal of Financial Markets, Elsevier, vol. 14(4), pages 568-604, November.

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