IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Dynamics in systematic liquidity

  • Björn Hagströmer
  • Richard G. Anderson
  • Jane M. Binner
  • Birger Nilsson

We develop the principal component analysis (PCA) approach to systematic liquidity measurement by introducing moving and expanding estimation windows. We evaluate these methods along with traditional estimation techniques (full sample PCA and market average) in terms of ability to explain (1) cross-sectional stock liquidity and (2) cross-sectional stock returns. For several traditional liquidity measures our results suggest an expanding window specification for systematic liquidity estimation. However, for price impact liquidity measures we find support for a moving window specification. The market average proxy of systematic liquidity produces the same degree of commonality, but does not have the same ability to explain stock returns as the PCA-based estimates.

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.

File URL: http://research.stlouisfed.org/wp/2009/2009-025.pdf
Download Restriction: no

Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2009-025.

as
in new window

Length:
Date of creation: 2009
Date of revision:
Handle: RePEc:fip:fedlwp:2009-025
Contact details of provider: Postal: P.O. Box 442, St. Louis, MO 63166
Fax: (314)444-8753
Web page: http://www.stlouisfed.org/

More information through EDIRC

Order Information: Email:


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.:

as in new window
  1. Lorán Chollete & Randi Næs & Johannes A. Skjeltorp, 2007. "What captures liquidity risk? A comparison of trade and order based liquidity factors," Working Paper 2007/03, Norges Bank.
  2. Hans R. Stoll, . "The Pricing of Security Dealer Services: An Empirical Study of NASDAQ Stocks," Rodney L. White Center for Financial Research Working Papers 13-77, Wharton School Rodney L. White Center for Financial Research.
  3. Lorán Chollete & Randi Næs & Johannes A. Skjeltorp, 2008. "The risk components of liquidity," Working Paper 2008/03, Norges Bank.
  4. Hasbrouck, Joel, 1991. " Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
  5. Hallin, Marc & Mathias, Charles & Pirotte, Hugues & Veredas, David, 2011. "Market liquidity as dynamic factors," Journal of Econometrics, Elsevier, vol. 163(1), pages 42-50, July.
  6. Forni, Mario & Lippi, Marco, 2001. "The Generalized Dynamic Factor Model: Representation Theory," Econometric Theory, Cambridge University Press, vol. 17(06), pages 1113-1141, December.
  7. Aitken, Michael & Comerton-Forde, Carole, 2003. "How should liquidity be measured?," Pacific-Basin Finance Journal, Elsevier, vol. 11(1), pages 45-59, January.
  8. Huberman, Gur & Halka, Dominika, 2001. "Systematic Liquidity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 161-78, Summer.
  9. Engle, Robert F & Patton, Andrew J, 2000. "Impacts of Trades in an Error-Correction Model of Quote Prices," University of California at San Diego, Economics Working Paper Series qt6dm6093f, Department of Economics, UC San Diego.
  10. Pástor, Luboš & Stambaugh, Robert F., 2002. "Liquidity Risk and Expected Stock Returns," CEPR Discussion Papers 3494, C.E.P.R. Discussion Papers.
  11. Glosten, Lawrence R. & Harris, Lawrence E., 1988. "Estimating the components of the bid/ask spread," Journal of Financial Economics, Elsevier, vol. 21(1), pages 123-142, May.
  12. Brownlees, C.T. & Gallo, G.M., 2006. "Financial econometric analysis at ultra-high frequency: Data handling concerns," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2232-2245, December.
  13. Petersen, Mitchell A. & Fialkowski, David, 1994. "Posted versus effective spreads *1: Good prices or bad quotes?," Journal of Financial Economics, Elsevier, vol. 35(3), pages 269-292, June.
  14. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
  15. Korajczyk, Robert A. & Sadka, Ronnie, 2008. "Pricing the commonality across alternative measures of liquidity," Journal of Financial Economics, Elsevier, vol. 87(1), pages 45-72, January.
  16. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
  17. Gilmore, Claire G. & Lucey, Brian M. & McManus, Ginette M., 2008. "The dynamics of Central European equity market comovements," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 605-622, August.
  18. Alexander Kempf & Daniel Mayston, 2008. "Liquidity Commonality Beyond Best Prices," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 31(1), pages 25-40.
  19. Beltran-Lopez, Héléna & Giot, Pierre & Grammig, Joachim G., 2009. "Commonalities in the order book," CFR Working Papers 09-05, University of Cologne, Centre for Financial Research (CFR).
  20. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  21. Henker, Thomas & Wang, Jian-Xin, 2006. "On the importance of timing specifications in market microstructure research," Journal of Financial Markets, Elsevier, vol. 9(2), pages 162-179, May.
  22. Akerlof, George A, 1970. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 84(3), pages 488-500, August.
  23. Vadym Volosovych, 2005. "Financial Market Integration Over the Long Run: Is there a U-shape?," Working Papers 05001, Department of Economics, College of Business, Florida Atlantic University, revised Feb 2007.
  24. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
  25. Foster, F Douglas & Viswanathan, S, 1993. " Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
  26. Brennan, Michael J. & Subrahmanyam, Avanidhar, 1996. "Market microstructure and asset pricing: On the compensation for illiquidity in stock returns," Journal of Financial Economics, Elsevier, vol. 41(3), pages 441-464, July.
  27. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
  28. Sadka, Ronnie, 2006. "Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk," Journal of Financial Economics, Elsevier, vol. 80(2), pages 309-349, May.
  29. repec:ulb:ulbeco:2013/136188 is not listed on IDEAS
  30. Hasbrouck, Joel & Seppi, Duane J., 2001. "Common factors in prices, order flows, and liquidity," Journal of Financial Economics, Elsevier, vol. 59(3), pages 383-411, March.
  31. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
  32. Heij, Christiaan & van Dijk, Dick & Groenen, Patrick J.F., 2008. "Macroeconomic forecasting with matched principal components," International Journal of Forecasting, Elsevier, vol. 24(1), pages 87-100.
  33. Tarun Chordia, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, 04.
  34. Gregory Connor and Robert A. Korajczyk., 1987. "Estimating Pervasive Economic Factors with Missing Observations," Research Program in Finance Working Papers 173, University of California at Berkeley.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fip:fedlwp:2009-025. 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: (Anna Xiao)

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.