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Investing in movies

Author

Listed:
  • Mark J Ferrari
  • Andrew Rudd

    (Advisor Software, Inc.)

Abstract

Investment managers are becoming increasingly interested in intellectual property as an asset class, and a large part of this intellectual property is filmed content created by the major movie studios. We have collected reliable information about the creative content and financial performance of feature films, and used this data to better understand the returns to investing in movies. We describe the valuation context of feature films and list the important factors influential in explaining financial returns. These factors are then used to build a quantitative, multiple factor valuation and risk model of the asset class.

Suggested Citation

  • Mark J Ferrari & Andrew Rudd, 2008. "Investing in movies," Journal of Asset Management, Palgrave Macmillan, vol. 9(1), pages 22-40, May.
    • Handle: RePEc:pal:assmgt:v:9:y:2008:i:1:d:10.1057_palgrave.jam.2250091
    DOI: 10.1057/palgrave.jam.2250091
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    References listed on IDEAS

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    1. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
    2. Ravid, S Abraham, 1999. "Information, Blockbusters, and Stars: A Study of the Film Industry," The Journal of Business, University of Chicago Press, vol. 72(4), pages 463-492, October.
    3. Ramya Neelamegham & Pradeep Chintagunta, 1999. "A Bayesian Model to Forecast New Product Performance in Domestic and International Markets," Marketing Science, INFORMS, vol. 18(2), pages 115-136.
    4. Jehoshua Eliashberg & Jedid-Jah Jonker & Mohanbir S. Sawhney & Berend Wierenga, 2000. "MOVIEMOD: An Implementable Decision-Support System for Prerelease Market Evaluation of Motion Pictures," Marketing Science, INFORMS, vol. 19(3), pages 226-243, January.
    5. W. Walls, 2005. "Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 177-190, August.
    6. Sanjeev Swami & Jehoshua Eliashberg & Charles B. Weinberg, 1999. "SilverScreener: A Modeling Approach to Movie Screens Management," Marketing Science, INFORMS, vol. 18(3), pages 352-372.
    7. Mohanbir S. Sawhney & Jehoshua Eliashberg, 1996. "A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures," Marketing Science, INFORMS, vol. 15(2), pages 113-131.
    8. Cleveland, William S. & Devlin, Susan J. & Grosse, Eric, 1988. "Regression by local fitting : Methods, properties, and computational algorithms," Journal of Econometrics, Elsevier, vol. 37(1), pages 87-114, January.
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