IDEAS home Printed from https://ideas.repec.org/a/tei/journl/v5y2012i2p113-127.html
   My bibliography  Save this article

Investment style of Jordanian mutual funds

Author

Listed:
  • Ishaq Hacini

    (University of Mascara, Algeria)

  • Khadra Dahou

    (University of Tlemcen, Algeria)

  • Mohamed Benbouziane

    (University of Tlemcen, Algeria)

Abstract

The study investigates the mutual funds investment style in the Jordanian context. It uses monthly returns of five mutual funds from July 2000 to December 2009. To do so, it employs the 4-factors model with explanatory variables the market portfolio return, a small minus large capitalization indicator variable, a high minus low book-to-market indicator variable, and a variable that account for momentum effect. These factors are used as benchmarks to investigate the investment style. The results indicate that mutual funds returns tend to follow those of the market portfolio. In terms of investment style, mutual funds managers tend to favor small capitalization stocks, past winners stocks, and low book-to-market ratio stocks, respectively.

Suggested Citation

  • Ishaq Hacini & Khadra Dahou & Mohamed Benbouziane, 2012. "Investment style of Jordanian mutual funds," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 5(2), pages 113-127, August.
  • Handle: RePEc:tei:journl:v:5:y:2012:i:2:p:113-127
    as

    Download full text from publisher

    File URL: http://ijbesar.teiemt.gr/docs/volume5_issue2/investment_style.pdf
    Download Restriction: no

    File URL: http://ijbesar.teiemt.gr/volume5_issue2.php
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bulkley, George & Nawosah, Vivekanand, 2009. "Can the Cross-Sectional Variation in Expected Stock Returns Explain Momentum?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 777-794, August.
    2. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    3. Lee, Cheng Few & Rahman, Shafiqur, 1990. "Market Timing, Selectivity, and Mutual Fund Performance: An Empirical Investigation," The Journal of Business, University of Chicago Press, vol. 63(2), pages 261-278, April.
    4. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
    5. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    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. Yiannis Karavias & Stella Spilioti & Elias Tzavalis, 2021. "Investor sentiment effects on share price deviations from their intrinsic values based on accounting fundamentals," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1593-1621, May.
    2. Husam RJOUB & Irfan CIVCIR & Nil Gunsel RESATOGLU, 2017. "Micro and Macroeconomic Determinants of Stock Prices: The Case of Turkish Banking Sector," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 150-166, March.
    3. Yoshino, Joe Akira & Santos, Edson Bastos e, 2009. "Is the CAPM Dead or Alive in the Brazilian Market?," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 5(1-2), pages 1-16, March.
    4. Yabei Hu & Shigemi Izumida, 2008. "Ownership Concentration and Corporate Performance: A Causal Analysis with Japanese Panel Data," Corporate Governance: An International Review, Wiley Blackwell, vol. 16(4), pages 342-358, July.
    5. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    6. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    7. Ranjan Aneja & Umer J. Banday & Tanzeem Hasnat & Mustafa Koçoglu, 2017. "Renewable and Non-renewable Energy Consumption and Economic Growth: Empirical Evidence from Panel Error Correction Model," Jindal Journal of Business Research, , vol. 6(1), pages 76-85, June.
    8. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    9. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    10. Neil A. Wilmot & Ariuna Taivan, 2021. "Examining the Impact of Financial Development on Energy Production in Emerging Economies," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    11. Balázs Égert, 2018. "Regulation, Institutions and Aggregate Investment: New Evidence from OECD Countries," Open Economies Review, Springer, vol. 29(2), pages 415-449, April.
    12. Balázs Égert, 2016. "Regulation, Institutions, and Productivity: New Macroeconomic Evidence from OECD Countries," American Economic Review, American Economic Association, vol. 106(5), pages 109-113, May.
    13. Kolawole Ogundari & Shoichi Ito & Victor O Okoruwa, 2016. "Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 59-69, January.
    14. Omaima A.G. Hassan & Peter Romilly, 2018. "Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: New insights," Business Strategy and the Environment, Wiley Blackwell, vol. 27(7), pages 893-909, November.
    15. Hwang, Eunju & Shin, Dong Wan, 2015. "Stationary bootstrapping for semiparametric panel unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 83(C), pages 14-25.
    16. José Abraham López Machuca & Jorge Eduardo Mendoza Cota, 2017. "Salarios, desempleo y productividad laboral en la industria manufacturera mexicana. (Wage, Unemployment and Labor Productivity in the Mexican Manufacturing Industry)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 185-228, October.
    17. Ftiti, Zied & Aguir, Abdelkader & Smida, Mounir, 2017. "Time-inconsistency and expansionary business cycle theories: What does matter for the central bank independence–inflation relationship?," Economic Modelling, Elsevier, vol. 67(C), pages 215-227.
    18. Emmanuel Anyigbah & Yusheng Kong & Bless Kofi Edziah & Ahotovi Thomas Ahoto & Wilhelmina Seyome Ahiaku, 2023. "Board Characteristics and Corporate Sustainability Reporting: Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    19. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    20. Hosan, Shahadat & Rahman, Md Matiar & Karmaker, Shamal Chandra & Saha, Bidyut Baran, 2023. "Energy subsidies and energy technology innovation: Policies for polygeneration systems diffusion," Energy, Elsevier, vol. 267(C).

    More about this item

    Keywords

    Mutual funds; 4-factors Model; Investment Style; Market portfolio; Size; Book-to- Market; Momentum;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    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:tei:journl:v:5:y:2012:i:2:p:113-127. 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: Kostas Stergidis (email available below). General contact details of provider: https://edirc.repec.org/data/dbikagr.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.