IDEAS home Printed from https://ideas.repec.org/a/jfr/afr111/v8y2019i2p226.html
   My bibliography  Save this article

Examination of Index Model and Prediction of Beta –A Case Study Examination in IT Sector

Author

Listed:
  • B Rajesh Kumar
  • Manuel Fernandez

Abstract

This study examines the determinants of stock returns of IT companies based on index model. The study examines the index model using the case analysis of stock returns of three IT Companies-Apple, Google and Microsoft. The analysis was done using the latest five-year monthly data. The study reveals that market index returns is a powerful determinant of stock returns. In terms of sensitivity as measured by beta values, Apple was most sensitive to fluctuations in market returns followed by Google and Microsoft stock returns. The study also examines the predictive ability of current beta using five-year data series of 15 IT companies. The results were statistically insignificant.Â

Suggested Citation

  • B Rajesh Kumar & Manuel Fernandez, 2019. "Examination of Index Model and Prediction of Beta –A Case Study Examination in IT Sector," Accounting and Finance Research, Sciedu Press, vol. 8(2), pages 226-226, May.
    • Handle: RePEc:jfr:afr111:v:8:y:2019:i:2:p:226
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/afr/article/download/15546/9643
    Download Restriction: no
    File URL: https://www.sciedupress.com/journal/index.php/afr/article/view/15546
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zi-Yi Guo, 2017. "Heavy-tailed Distributions and Risk Management of Equity Market Tail Events," Journal of Risk & Control, Risk Market Journals, vol. 4(1), pages 31-41.
    2. Francis Boabang, 1996. "An Adjustment Procedure for Predicting Betas When Thin Trading is Present: Canadian Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 23(9-10), pages 1333-1356, December.
    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. Li, Fei & Kang, Hao & Xu, Jingfeng, 2022. "Financial stability and network complexity: A random matrix approach," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 177-185.
    2. Adrian Quintero & Emmanuel Lesaffre & Geert Verbeke, 2024. "Bayesian Exploratory Factor Analysis via Gibbs Sampling," Journal of Educational and Behavioral Statistics, , vol. 49(1), pages 121-142, February.
    3. Gangemi, Michael & Brooks, Robert & Faff, Robert, 1999. "Mean reversion and the forecasting of country betas: a note," Global Finance Journal, Elsevier, vol. 10(2), pages 231-245.
    4. Alejandro Bernales & Diether W. Beuermann & Gonzalo Cortazar, 2014. "Thinly traded securities and risk management," Estudios de Economia, University of Chile, Department of Economics, vol. 41(1 Year 20), pages 5-48, June.
    5. Jianhua Ding & Turen Guo & Bin Guo, 2018. "Fat Tails, Value at Risk, and the Palladium Returns," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(2), pages 95-103, May.
    6. Naeem, Muhammad & Shahbaz, Muhammad & Saleem, Kashif & Mustafa, Faisal, 2019. "Risk analysis of high frequency precious metals returns by using long memory model," Resources Policy, Elsevier, vol. 61(C), pages 399-409.
    7. Osman Nal & Andrew Cai, 2020. "Analyzing Impact of a Crisis on Bank Financial Ratios," Accounting and Finance Research, Sciedu Press, vol. 9(4), pages 1-17, November.
    8. Stephen A. Ojeka & Alex Adeboye & Olajide Dahunsi, 2021. "Does Audit Committee Characteristics Promote Risk Management Practices in Nigerian Listed Firms?," Accounting and Finance Research, Sciedu Press, vol. 10(2), pages 1-70, May.
    9. Cortazar, Gonzalo & Beuermann, Diether & Bernales, Alejandro, 2013. "Risk Management with Thinly Traded Securities: Methodology and Implementation," IDB Publications (Working Papers) 4647, Inter-American Development Bank.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:jfr:afr111:v:8:y:2019:i:2:p:226. 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: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.