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High-Frequency Trading and Market Efficiency in the Moroccan Stock Market

In: Big Data in Finance

Author

Listed:
  • El Mehdi Ferrouhi

    (Ibn Tofail University)

  • Ibrahim Bouabdallaoui

    (Mohammed V University in Rabat)

Abstract

This chapter investigates the impact of high-frequency trading (HFT) on market efficiency in the Moroccan Stock Exchange. The endorsement of market efficiency suggests that investors cannot beat the market, while a rejection of market efficiency implies that investors can use HFT to realize higher returns than those of the market. We obtain data at the precision level of milliseconds from the Casablanca Stock Exchange and cover the period from August 1, 2016 (the beginning of high-frequency trading in the Moroccan stock market) to July 31, 2021. The chapter finds from conducting statistical analyses using this data that the market efficiency hypothesis is rejected at very high frequencies: one millisecond, one second, and 30 second. At lower time frequencies such as 1, 2, 5, 10, and 15 minutes, the market efficiency hypothesis is not rejected, which lends evidence that the market is efficient at these frequencies. Based on these results obtained, the main conclusion from this chapter is that investors with a faster market connection (at the millisecond and second level) and an efficient algorithm can use privileged information to realize returns higher than those of the Moroccan Stock Exchange market. Further studies should be completed in other markets to determine if these results are consistent across exchanges.

Suggested Citation

  • El Mehdi Ferrouhi & Ibrahim Bouabdallaoui, 2022. "High-Frequency Trading and Market Efficiency in the Moroccan Stock Market," Springer Books, in: Thomas Walker & Frederick Davis & Tyler Schwartz (ed.), Big Data in Finance, pages 55-67, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-12240-8_4
    DOI: 10.1007/978-3-031-12240-8_4
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    More about this item

    Keywords

    High-frequency trading; Market efficiency; Moroccan stock exchange; Random walk hypothesis;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • G1 - Financial Economics - - General Financial Markets

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