IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v413y2014icp25-30.html
   My bibliography  Save this article

Permutation approach, high frequency trading and variety of micro patterns in financial time series

Author

Listed:
  • Aghamohammadi, Cina
  • Ebrahimian, Mehran
  • Tahmooresi, Hamed

Abstract

Permutation approach is suggested as a method to investigate financial time series in micro scales. The method is used to see how high frequency trading in recent years has affected the micro patterns which may be seen in financial time series. Tick to tick exchange rates are considered as examples. It is seen that variety of patterns evolve through time; and that the scale over which the target markets have no dominant patterns, have decreased steadily over time with the emergence of higher frequency trading.

Suggested Citation

  • Aghamohammadi, Cina & Ebrahimian, Mehran & Tahmooresi, Hamed, 2014. "Permutation approach, high frequency trading and variety of micro patterns in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 25-30.
    • Handle: RePEc:eee:phsmap:v:413:y:2014:i:c:p:25-30
    DOI: 10.1016/j.physa.2014.06.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437114005020
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2014.06.027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Meredith Beechey & David Gruen & James Vickery, 2000. "The Efficient Market Hypothesis: A Survey," RBA Research Discussion Papers rdp2000-01, Reserve Bank of Australia.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2020. "Fluctuation and volatility dynamics of stochastic interacting energy futures price model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Paweł Fiedor, 2015. "Multiscale Analysis of the Predictability of Stock Returns," Risks, MDPI, vol. 3(2), pages 1-15, June.
    3. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
    4. Niu, Hongli & Wang, Jun & Liu, Cheng, 2018. "Analysis of crude oil markets with improved multiscale weighted permutation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 389-402.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oxelheim, Lars & Rafferty, Michael, 2005. "On the static efficiency of secondary bond markets," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 117-135, April.
    2. Amaresh Das, 2011. "Martingales, Efficient Market Hypothesis and Kolmogorov’s Complexity Theory," Information Management and Business Review, AMH International, vol. 2(6), pages 252-258.
    3. Roland Rothenstein, 2018. "Quantification of market efficiency based on informational-entropy," Papers 1812.02371, arXiv.org.
    4. Gozbasi, Onur & Kucukkaplan, Ilhan & Nazlioglu, Saban, 2014. "Re-examining the Turkish stock market efficiency: Evidence from nonlinear unit root tests," Economic Modelling, Elsevier, vol. 38(C), pages 381-384.
    5. Mubariz Hasanov, 2009. "A note on efficiency of Australian and New Zealand stock markets," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 269-273.
    6. Kei Takeuchi & Akimichi Takemura & Masayuki Kumon, 2011. "New Procedures for Testing Whether Stock Price Processes are Martingales," Computational Economics, Springer;Society for Computational Economics, vol. 37(1), pages 67-88, January.
    7. C. Royal & J. Evans & S.S. Windsor, 2014. "The missing strategic link - human capital knowledge, and risk in the finance industry - two mini case studies," Venture Capital, Taylor & Francis Journals, vol. 16(3), pages 189-206, July.
    8. Dima, Bogdan & Barna, Flavia & Pirtea, Marilen, 2007. "Romanian Capital Market And The Informational Efficiency," MPRA Paper 5807, University Library of Munich, Germany.
    9. Khondaker Golam Moazzem & Md. Tariqur Rahman, 2012. "Stabilising the Capital Market of Bangladesh: Addressing the Structural, Institutional and Operational Issues," CPD Working Paper 95, Centre for Policy Dialogue (CPD).
    10. Hasan A?an Karaduman, 2016. "Stylized Facts And Weak-Form Efficiency In Turkish Stock Market," Proceedings of International Academic Conferences 4006651, International Institute of Social and Economic Sciences.
    11. Thomas Schuster, 2003. "News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media," Finance 0305009, University Library of Munich, Germany.
    12. Sergio Da Silva & Raul Matsushita & Ricardo Giglio, 2008. "The relative efficiency of stockmarkets," Economics Bulletin, AccessEcon, vol. 7(6), pages 1-12.
    13. Howden, David, 2009. "Fama's Efficient Market Hypothesis and Mises' Evenly Rotating Economy: Comparative Constructs," MPRA Paper 79586, University Library of Munich, Germany.
    14. Eduardo Roca & Victor Wong & Gurudeo Tularam, 2010. "The Market Sensitivity of Australian Superannuation Socially Responsible Investment Funds. Evidence from a Markov Regime Switching Approach," Discussion Papers in Finance finance:201012, Griffith University, Department of Accounting, Finance and Economics.
    15. Fischer, Thomas, 2011. "News Reaction in Financial Markets within a Behavioral Finance Model with Heterogeneous Agents," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 54196, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    16. Fischer, Thomas, 2015. "Market structure and rating strategies in credit rating markets – A dynamic model with matching of heterogeneous bond issuers and rating agencies," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 39-56.
    17. Mynhardt, H. R. & Plastun, Alex & Makarenko, Inna, 2014. "Behavior of Financial Markets Efficiency During the Financial Market Crisis: 2007-2009," MPRA Paper 58942, University Library of Munich, Germany.
    18. Viktorija Bobinaite & Marialaura Di Somma & Giorgio Graditi & Irina Oleinikova, 2019. "The Regulatory Framework for Market Transparency in Future Power Systems under the Web-of-Cells Concept," Energies, MDPI, vol. 12(5), pages 1-26, March.
    19. Cina Aghamohammadi & Mehran Ebrahimian & Hamed Tahmooresi, 2014. "Permutation approach, high frequency trading and variety of micro patterns in financial time series," Papers 1407.5254, arXiv.org.
    20. Gunther Maier & Shanaka Herath, 2009. "Real Estate Market Efficiency: A Survey of Literature," SRE-Disc sre-disc-2009_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:413:y:2014:i:c:p:25-30. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.