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The Strategic Implementation of an Investment Process in a Funds Management Firm

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Abstract

One of several important strategic decisions that have to be made by an active funds management organization is how aggressively it implements its investment process. In this paper we model this decision on the assumption that the organization’s objective is to maximise the present value of its future fee income. We then develop the model using numerical methods in order to demonstrate the impact of several endogenous and exogenous factors on this optimum active position. In particular we highlight that the most aggressive funds are likely to be embryonic funds that have the greatest potential to add value. We also establish that in the event that such funds increase their funds under management; it will be optimum for them to become more index-like. We demonstrate that the extent to which the implementation decision for the active process is a function of a number of factors including the alpha and risk characteristics of the active component of the portfolio, the risk tolerance of the promoting organization and the relationship between performance and future fund flows. Our findings have extensive implications ranging from the choice of investment managers by investors to the functioning of capital markets.

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  • Ron Bird & Paolo Pellizzari & Danny Yeung & Paul Woolley, 2012. "The Strategic Implementation of an Investment Process in a Funds Management Firm," Working Paper Series 17, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
    • Handle: RePEc:uts:pwcwps:17
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    References listed on IDEAS

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    1. Marcin Kacperczyk & Amit Seru, 2007. "Fund Manager Use of Public Information: New Evidence on Managerial Skills," Journal of Finance, American Finance Association, vol. 62(2), pages 485-528, April.
    2. K. J. Martijn Cremers & Antti Petajisto, 2009. "How Active Is Your Fund Manager? A New Measure That Predicts Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3329-3365, September.
    3. repec:bla:jfinan:v:53:y:1998:i:5:p:1589-1622 is not listed on IDEAS
    4. Martijn Cremers & Antti Petajisto, 2006. "How Active is Your Fund Manager? A New Measure That Predicts Performance," Yale School of Management Working Papers amz2370, Yale School of Management, revised 01 May 2009.
    5. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    6. Guercio, Diane Del & Tkac, Paula A., 2008. "Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(4), pages 907-936, December.
    7. Ron Bird & Paolo Pellizzari & Danny Yeung & David Gallagher, 2015. "Performance implications of active management of institutional mutual funds," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(1), pages 1-27, March.
    8. Richard B. Evans, 2010. "Mutual Fund Incubation," Journal of Finance, American Finance Association, vol. 65(4), pages 1581-1611, August.
    9. Lucia Milone & Paolo Pellizzari, 2009. "Mutual Funds Flows and the “Sheriff of Nottingham” Effect," Lecture Notes in Economics and Mathematical Systems, in: Cesáreo Hernández & Marta Posada & Adolfo López-Paredes (ed.), Artificial Economics, chapter 0, pages 117-128, Springer.
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    Cited by:

    1. Danny Yeung & Paolo Pellizzari & Ron Bird & Sazali Abidin, 2012. "Diversification Versus Concentration ......... and the Winner Is?," Working Paper Series 18, The Paul Woolley Centre for Capital Market Dysfunctionality, University of Technology, Sydney.
    2. Jiawen Xu & Yixuan Li & Kai Liu & Tao Chen, 2023. "Portfolio selection: from under-diversification to concentration," Empirical Economics, Springer, vol. 64(4), pages 1539-1557, April.

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