IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i7p338-d1195827.html
   My bibliography  Save this article

A New Entropic Measure for the Causality of the Financial Time Series

Author

Listed:
  • Peter B. Lerner

    (SUNY-Brockport, Brockport, NY 14420, USA
    School of Business Administration, Anglo-American University, ul. Letnikow, 120 Prague, Czech Republic)

Abstract

A new econometric methodology based on deep learning is proposed for determining the causality of the financial time series. This method is applied to the imbalances in daily transactions in individual stocks and also in exchange-traded funds (ETFs) with a nanosecond time stamp. Based on our method, we conclude that transaction imbalances of ETFs alone are more informative than transaction imbalances in the entire market despite the domination of single-issue stocks in imbalance messages.

Suggested Citation

  • Peter B. Lerner, 2023. "A New Entropic Measure for the Causality of the Financial Time Series," JRFM, MDPI, vol. 16(7), pages 1-17, July.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:7:p:338-:d:1195827
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/7/338/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/7/338/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pauline Shum & Walid Hejazi & Edgar Haryanto & Arthur Rodier, 2016. "Intraday Share Price Volatility and Leveraged ETF Rebalancing," Review of Finance, European Finance Association, vol. 20(6), pages 2379-2409.
    2. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    3. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    4. Fabrice Riva & Thomas Marta, 2022. "Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique," Post-Print hal-03969597, HAL.
    5. Bartlett, Robert P. & McCrary, Justin, 2019. "How rigged are stock markets? Evidence from microsecond timestamps," Journal of Financial Markets, Elsevier, vol. 45(C), pages 37-60.
    6. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    7. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    8. Joel Hasbrouck, 2021. "Rejoinder on: Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 465-471.
    Full references (including those not matched with items on IDEAS)

    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. Liwei Jin & Xianghui Yuan & Shihao Wang & Peiran Li & Feng Lian, 2022. "Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2235-2247, December.
    2. F. Campigli & G. Bormetti & F. Lillo, 2022. "Measuring price impact and information content of trades in a time-varying setting," Papers 2212.12687, arXiv.org, revised Dec 2023.
    3. Sebastiano Michele Zema & Francesco Cordoni, 2023. "A non-Normal framework for price discovery: The independent component based information shares measure," LEM Papers Series 2023/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Joel Hasbrouck, 2021. "Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 395-430.
    5. Peter Lerner, 2022. "The market drives ETFs or ETFs the market: causality without Granger," Papers 2204.03760, arXiv.org.
    6. Chang, Sanders S. & Wang, F. Albert, 2015. "Adverse selection and the presence of informed trading," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 19-33.
    7. Gur Huberman & Dominika Halka, 2001. "Systematic Liquidity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 161-178, June.
    8. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    9. Doureige J. Jurdi, 2020. "Intraday Jumps, Liquidity, and U.S. Macroeconomic News: Evidence from Exchange Traded Funds," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    10. Ding, Mingfa, 2014. "Political Connections and Stock Liquidity: Political Network, Hierarchy and Intervention," Knut Wicksell Working Paper Series 2014/7, Lund University, Knut Wicksell Centre for Financial Studies.
    11. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    12. Qiu, Jiaping & Yu, Fan, 2012. "Endogenous liquidity in credit derivatives," Journal of Financial Economics, Elsevier, vol. 103(3), pages 611-631.
    13. Jacob Gyntelberg & Mico Loretan & Tientip Subhanij & Eric Chan, 2010. "Private information, stock markets, and exchange rates," BIS Papers chapters, in: Bank for International Settlements (ed.), The international financial crisis and policy challenges in Asia and the Pacific, volume 52, pages 186-210, Bank for International Settlements.
    14. Corò, Filippo & Dufour, Alfonso & Varotto, Simone, 2013. "Credit and liquidity components of corporate CDS spreads," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5511-5525.
    15. Guillaume Rocheteau & Pierre‐Olivier Weill, 2011. "Liquidity in Frictional Asset Markets," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(s2), pages 261-282, October.
    16. Ryan D. Leece & Todd P. White, 2017. "The effects of firms’ information environment on analysts’ herding behavior," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 503-525, February.
    17. Trifan, Emanuela, 2004. "Entscheidungsregeln und ihr Einfluss auf den Aktienkurs," Darmstadt Discussion Papers in Economics 131, Darmstadt University of Technology, Department of Law and Economics.
    18. Lepone, Andrew & Yang, Jin Young, 2013. "Informational role of market makers: The case of exchange traded CFDs," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 84-92.
    19. Lucian Arye Bebchuk & Chaim Fershtman, 1990. "The Effects of Insider Trading on Insiders' Choice Among Risky Investment Projects," Discussion Papers 897, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    20. Olaf Korn & Paolo Krischak & Erik Theissen, 2019. "Illiquidity transmission from spot to futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1228-1249, October.

    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:gam:jjrfmx:v:16:y:2023:i:7:p:338-:d:1195827. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.