IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

The Effectiveness of Margin Requirements: Agent-Based Modeling Approach

Listed author(s):
  • Yi-Feng Tzeng
  • Chung-Yi Yang


    (Information Management Yuan-Ze University)

  • Chia-Hsuan Yeh
Registered author(s):

    The stock market crash in 1929 has raised many discussions about the causes and the ways to prevent the financial markets from large fluctuations. The role of the margin loan has usually been regarded as the source of instability in financial markets. The view that low margin infused excessive funds into the stock market was widely accepted at that time. Therefore, the Board of Governors of the Federal Reserve System was authorized by the Securities and Exchange Act to impose initial margin requirements on stock markets in October, 1934, which was previously set by the New York Stock Exchange and other private-sector exchanges. The original purposes of this regulation are three-fold: (1) to reduce excessive credit, and lead more credit toward productive uses, (2) to protect investors from speculative losses due to too much debt, and (3) to reduce price fluctuations caused by margin buying and short selling. In the literature, the discussion of the effectiveness of margin requirements has continued for more than forty years. Besides the controversy of academic research, both the Government and the Fed also possessed different opinions in the past twenty years. The reason that margin loans are believed to increase price volatility is described as a ``pyramiding-depyramiding'' process. The pyramiding-depyramiding process seems to be reasonable but can not be easily justified. The implicit assumption behind this process is that speculation is the source of instability. In this paper, we examine the effectiveness of margin requirements based on the times series properties of price and return volatility as well as their relations with trading volume under the framework of agent-based artificial stock market in which trader' behavior is modeled by genetic programming

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2005 with number 79.

    in new window

    Date of creation: 11 Nov 2005
    Handle: RePEc:sce:scecf5:79
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:sce:scecf5:79. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.