IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpfi/0202002.html
   My bibliography  Save this paper

How Active Are Managers in SA

Author

Listed:
  • Tony Bell

    (PeregrineQuant: Head of Marketing)

  • Maarten Ackerman

    (PeregrineQuant: Quantitative Analyst)

Abstract

This paper seeks to provide a balanced perspective on the role that benchmarks play in the setting of investment policy, the degree to which asset managers deviate from these benchmarks in pursuit of adding value and the degree to which value is added. The findings of this occasional paper are also helpful in understanding the role that a quantitative manager fulfils and the degree to which quantitative and active judgemental asset managers should be viewed as having complimentary skills in the establishment of optimal fund structures and prudent investment policy

Suggested Citation

  • Tony Bell & Maarten Ackerman, 2002. "How Active Are Managers in SA," Finance 0202002, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpfi:0202002
    Note: Type of Document - Pdf; prepared on PC; to print on HP; pages: 5; figures: included. How active are managers
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0202/0202002.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    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. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. Darima Fotheringham & Michael A. Wiles, 2023. "The effect of implementing chatbot customer service on stock returns: an event study analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 802-822, July.
    3. Christiane Goodfellow & Dirk Schiereck & Steffen Wippler, 2013. "Are behavioural finance equity funds a superior investment? A note on fund performance and market efficiency," Journal of Asset Management, Palgrave Macmillan, vol. 14(2), pages 111-119, April.
    4. Chuan-Hao Hsu & Hung-Gay Fung & Yi-Ping Chang, 2016. "The performance of Taiwanese firms after a share repurchase announcement," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1251-1269, November.
    5. Kiran Paudel & Atsuyuki Naka, 2023. "Effects of size on the exchange-traded funds performance," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 474-484, October.
    6. Manuel Ammann & Philipp Horsch & David Oesch, 2016. "Competing with Superstars," Management Science, INFORMS, vol. 62(10), pages 2842-2858, October.
    7. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    8. Arthur, Bruno R. & Katchova, Ani L., 2012. "Accruals Anomaly in Agriculture Financial Economics," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119822, Southern Agricultural Economics Association.
    9. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    10. Eun, Cheol & Lee, Kyuseok & Wei, Fengrong, 2023. "Dual role of the country factors in international asset pricing: The local factors and proxies for the global factors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    11. Muhammad Kashif & Thomas Leirvik, 2022. "The MAX Effect in an Oil Exporting Country: The Case of Norway," JRFM, MDPI, vol. 15(4), pages 1-16, March.
    12. Timo Korkeamaki & Danielle Xu, 2015. "Institutional Investors and Foreign Exchange Risk," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-33, September.
    13. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    14. Karen K. Lewis, 2011. "Global Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 435-466, December.
    15. Caroline Flammer & Michael W. Toffel & Kala Viswanathan, 2021. "Shareholder activism and firms' voluntary disclosure of climate change risks," Strategic Management Journal, Wiley Blackwell, vol. 42(10), pages 1850-1879, October.
    16. David A. Volkman, 1999. "Market Volatility And Perverse Timing Performance Of Mutual Fund Managers," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 449-470, December.
    17. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.
    18. Tanos, Barbara Abou, 2022. "Culture and mutual funds’ performance," Finance Research Letters, Elsevier, vol. 46(PB).
    19. Leon Zolotoy & Don O’Sullivan & Keke Song, 2021. "The Role of Ethical Standards in the Relationship Between Religious Social Norms and M&A Announcement Returns," Journal of Business Ethics, Springer, vol. 170(4), pages 721-742, May.
    20. Agarwal, Vikas & Gay, Gerald D. & Ling, Leng, 2011. "Window dressing in mutual funds," CFR Working Papers 11-07, University of Cologne, Centre for Financial Research (CFR).

    More about this item

    Keywords

    Active management Quantitative asset management PeregrineQuant investment Pension Funds;

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • F49 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Other
    • R38 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Government Policy

    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:wpa:wuwpfi:0202002. 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.