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Efficiency tests of the UK financial futures markets and the impact of electronic trading systems

  • Twm Evans
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    This paper undertakes tests for market efficiency of three UK financial futures contracts: FTSE100 futures (stock index futures), Long Gilt (bond futures), Short Sterling (interest rate futures) and also examines the impact of the introduction of electronic trading system on their market efficiency. The analysis is based on the notion of weak-form informational efficiency of the Efficient Market Hypothesis (EMH). For robustness, the study employs three test methods, ADF unit root test, KPSS test and Lo & MacKinlay Variance Ratio test, to investigate the randomness of the futures price fluctuation, which generally signifies market efficiency. Any evidence of market weak-form inefficiency implies that the futures prices do not follow a random walk process and the past price of the financial instrument can be used to forecast the futures price to obtain superior profit. The results show that the three markets under investigation are weak-form informational efficient. Before the introduction of electronic trading system, the UK bond futures market is relatively the most efficient among the three markets under investigation. After automation, the efficiency of FTSE100 futures contract improves to become the most efficient among the three markets under investigation.

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    Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

    Volume (Year): 16 (2006)
    Issue (Month): 17 ()
    Pages: 1273-1283

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    Handle: RePEc:taf:apfiec:v:16:y:2006:i:17:p:1273-1283
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    1. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
    2. Ananth Madhavan & Matthew Richardson & Mark Roomans, . "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," Rodney L. White Center for Financial Research Working Papers 20-94, Wharton School Rodney L. White Center for Financial Research.
    3. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
    4. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    5. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272.
    6. Culter, D.M. & Poterba, J.M. & Summers, L.H., 1990. "Speculative Dynamics And The Role Of Feedback Traders," Working papers 545, Massachusetts Institute of Technology (MIT), Department of Economics.
    7. M. Magnusson & B. Wydick, 2002. "How Efficient are Africa's Emerging Stock Markets?," Journal of Development Studies, Taylor & Francis Journals, vol. 38(4), pages 141-156.
    8. Graham Smith & Keith Jefferis & Hyun-Jung Ryoo, 2002. "African stock markets: multiple variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 475-484.
    9. Peter Huber, 1997. "Stock market returns in thin markets: evidence from the Vienna Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 7(5), pages 493-498.
    10. Kuo-Ping Chang & Kuo-Shiuan Ting, 2000. "A variance ratio test of the random walk hypothesis for Taiwan's stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 525-532.
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