IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2401.13670.html
   My bibliography  Save this paper

"The Roller Conduction Effect" from the A-share Data Evidence

Author

Listed:
  • Wenbo Lyu

Abstract

In the post-epidemic era, consumption recovery has obvious time and space transmission laws, and there are different valuation criteria for consumption segments. Using the A-share data of the consumption recovery stage from January to April 2022, this paper quantitatively compares the rotation effect between different consumption sectors when the valuation returns to the reasonable range. According to the new classification of "sensory-based consumption", it interprets the internal logic of digital consumption as A consumption upgrade tool and a higher valuation target, and expounds the "the roller conduction effect". The law of consumption recovery and valuation return period is explained from the perspective of time and space conduction. The study found that in the early stage of consumption recovery, the recovery of consumer confidence was slow. In this period, A-shares were mainly dominated by the stock capital game, and there was an obvious plate rotation law in the game. Being familiar with this law has strong significance, which not only helps policy makers to adjust the direction of policy guidance, but also helps financial investors to make better investment strategies. The disadvantage of this paper is that it has not yet studied the roller conduction effect of the global financial market, and more rigorous mathematical models are still needed to support the definition of stock funds, which is also the main direction of the author's future research.

Suggested Citation

  • Wenbo Lyu, 2023. ""The Roller Conduction Effect" from the A-share Data Evidence," Papers 2401.13670, arXiv.org.
  • Handle: RePEc:arx:papers:2401.13670
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2401.13670
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:arx:papers:2401.13670. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.