IDEAS home Printed from https://ideas.repec.org/a/ris/buecrj/0188.html
   My bibliography  Save this article

Analysis of Forecasting Performance of Investors in Turkey Within Framework of the Random Walk Model (Türkiye’de Yatırımcıların Öngörü Performanslarının Rassal Yürüyüş Modeli Çerçevesinde Analizi)

Author

Listed:
  • Tanrıöver, Banu

    (Osmaniye Korkut Ata University)

  • Çöllü, Duygu Arslantürk

    (Karadeniz Technical University)

Abstract

The purpose of this study is to test the weak form efficiency within framework of the random walk model by using price movements of BIST-100 Index and to evaluate forecasting performance of investors in Turkish stock market. Whether investors can earn excess returns or not has been decided with determination of whether the stock price movements and expectations of investors follow a random walk or not at the period of 1990:01-2014:06 in Turkey. Firstly for this purpose, the randomness of price movements of BIST-100 Index has been tested by using Ljung-Box and LM analysis. The second assumption of random walk model, randomness of expectations of investor and each of information entering market has been analysed with BDS test. Empirical evidences show that investors in Turkish capital market can forecast by using historical stock price movements, investors can have all information which is likely to affect the stock price in advance, and investors can earn excess returns by taking decisions based on this information.

Suggested Citation

  • Tanrıöver, Banu & Çöllü, Duygu Arslantürk, 2015. "Analysis of Forecasting Performance of Investors in Turkey Within Framework of the Random Walk Model (Türkiye’de Yatırımcıların Öngörü Performanslarının Rassal Yürüyüş Modeli Çerçevesinde Analizi)," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 6(2), pages 127-139, April.
  • Handle: RePEc:ris:buecrj:0188
    as

    Download full text from publisher

    File URL: http://www.berjournal.com/analysis-of-forecasting-performance-of-investors-in-turkey-within-framework-of-the-random-walk-model
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Random walk model; weak-form efficiency; autocorrelation analysis; BDS test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:ris:buecrj:0188. 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: Adem Anbar (email available below). General contact details of provider: https://edirc.repec.org/data/iiulutr.html .

    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.