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Prediction Model of Box Office Based on Arbitrage Pricing Theory: An Empirical Analysis from China

Author

Listed:
  • Wang Qingshi

    (Dongbei University of Finance and Economics, Dalian, Liaoning, China.)

  • Li Naiqian

    (Dongbei University of Finance and Economics, Dalian, Liaoning, China.)

  • Hashmat Ali

    (Dongbei University of Finance and Economics, Dalian, Liaoning, China.)

Abstract

According to characteristics of revenue and risks involved in film investments, this paper expounds that movies can also be treated as a common tradable asset in capital markets. Consequently, this study employs the famous Arbitrage Pricing Theory (APT) from Capital Asset Pricing Model as a necessary and efficient theoretical explanation, in order to describe the application of multi-factor linear regression model used in assessing movie investment returns in real life. Above that, the paper not only uses Linear Regression with Multiple Variables and its theory by Litman and Kohl (1989) for reference, but also build a model for explanation and prediction about Chinese movie box office combined with the research experience in predicting movie box office at home and abroad. 219 movies released in Mainland China from 2008 to 2017 were selected as samples for empirical testing and analysis. According to the empirical model, this study predicted the 4 movies released in 2018, satisfactory outcomes were obtained.

Suggested Citation

  • Wang Qingshi & Li Naiqian & Hashmat Ali, 2019. "Prediction Model of Box Office Based on Arbitrage Pricing Theory: An Empirical Analysis from China," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 9(5), pages 16-23.
    • Handle: RePEc:eco:journ1:2019-05-3
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    References listed on IDEAS

    as
    1. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    2. Byeng-Hee Chang & Eyun-Jung Ki, 2005. "Devising a Practical Model for Predicting Theatrical Movie Success: Focusing on the Experience Good Property," Journal of Media Economics, Taylor & Francis Journals, vol. 18(4), pages 247-269.
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    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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