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Commodity Liquidity Measurement and Transaction Costs

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  • Ben R. Marshall
  • Nhut H. Nguyen
  • Nuttawat Visaltanachoti

Abstract

We examine the performance of liquidity proxies in commodities. The Amihud measure has the largest correlation with liquidity benchmarks. Amivest and Effective Tick measures also perform well. These proxies are useful for studies of commodity liquidity over a long time period and those that lack access to high-frequency data. We use various aspects of transaction costs, such as spread, depth, immediacy, and resiliency, to give insight into the costs of different execution approaches. Transaction costs increase with volatility and exhibit mean reversion. Splitting trades over one hour can reduce trading costs by two-thirds compared to an immediate execution. The Author 2011. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

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Bibliographic Info

Article provided by Society for Financial Studies in its journal Review of Financial Studies.

Volume (Year): 25 (2012)
Issue (Month): 2 ()
Pages: 599-638

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Handle: RePEc:oup:rfinst:v:25:y:2012:i:2:p:599-638

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Cited by:
  1. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity commonality in commodities," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 11-20.
  2. Simon Hagemann & Christoph Weber, 2013. "An Empirical Analysis of Liquidity and its Determinants in The German Intraday Market for Electricity," EWL Working Papers 1317, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Oct 2013.
  3. Bruce Mizrach & Yoichi Otsubo, 2010. "The Market Microstructure of the European Climate Exchange," Departmental Working Papers 201005, Rutgers University, Department of Economics.
  4. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
  5. Beaupain, Renaud & Durré, Alain, 2013. "Central bank reserves and interbank market liquidity in the euro area," Journal of Financial Intermediation, Elsevier, vol. 22(2), pages 259-284.
  6. Prokopczuk, Marcel & Wese Simen, Chardin, 2014. "The importance of the volatility risk premium for volatility forecasting," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 303-320.
  7. Yannick Le Pen & Benoît Sévi, 2013. "Futures Trading and the Excess Comovement of Commodity Prices," Working Papers halshs-00793724, HAL.
  8. Daskalaki, Charoula & Kostakis, Alexandros & Skiadopoulos, George, 2014. "Are there common factors in individual commodity futures returns?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 346-363.
  9. Beaupain, Renaud & Durré, Alain, 2012. "Nonlinear liquidity adjustments in the euro area overnight money market," Working Paper Series 1500, European Central Bank.
  10. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2014. "Precious Metals Under the Microscope: A High-Frequency Analysis," Working Papers on Finance 1409, University of St. Gallen, School of Finance.
  11. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity measurement in frontier markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 1-12.
  12. repec:ipg:wpaper:19 is not listed on IDEAS

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