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Modeling Movie Success When ‘Nobody Knows Anything’: Conditional Stable-Distribution Analysis Of Film Returns

Citations

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Cited by:

  1. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
  2. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
  3. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
  4. Mun, Mak Kit & Chong, Choo Wei, 2018. "Forecasting Movie Demand Using Total and Split Exponential Smoothing," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 81-94.
  5. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
  6. W. D. Walls & Jordi McKenzie, 2020. "Black swan models for the entertainment industry with an application to the movie business," Empirical Economics, Springer, vol. 59(6), pages 3019-3032, December.
  7. Arthur Vany & W. Walls, 2007. "Estimating the Effects of Movie Piracy on Box-office Revenue," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(4), pages 291-301, June.
  8. Kaimann, Daniel & Pannicke, Julia, 2015. "Movie success in a genre specific contest: Evidence from the US film industry," Ilmenau Economics Discussion Papers 98, Ilmenau University of Technology, Institute of Economics.
  9. Starling D. Hunter III & Ravi Chinta & Susan Smith & Awais Shamim & Alya Bawazir, 2016. "Moneyball for TV: A Model for Forecasting the Audience of New Dramatic Television Series," Studies in Media and Communication, Redfame publishing, vol. 4(2), pages 13-22, December.
  10. Sumiko Asai, 2011. "Demand analysis of hit music in Japan," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 101-117, May.
  11. Judith Timmer & Richard J. Boucherie & Esmé Lammers & Niek Baër & Maarten Bos & Arjan Feenstra, 2018. "Estimating the potential of collaborating professionals, with an application to the Dutch film industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 69-95, January.
  12. Davide Lauria & Wyatt D. Phillips, 2021. "Insuring Hollywood: A Movie Returns Index and the American Stock Market," JRFM, MDPI, vol. 14(5), pages 1-33, April.
  13. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
  14. Don M. Chance & Eric Hillebrand & Jimmy E. Hilliard, 2008. "Pricing an Option on Revenue from an Innovation: An Application to Movie Box Office Revenue," Management Science, INFORMS, vol. 54(5), pages 1015-1028, May.
  15. Liran Einav & S. Ravid, 2009. "Stock market response to changes in movies’ opening dates," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 311-319, November.
  16. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
  17. W. David Walls, 2004. "Revenues, Profitability, and Returns: Clinical Analysis of the Market for Mobster Films," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(2), pages 93-106, August.
  18. W. D. Walls, 2005. "Modelling heavy tails and skewness in film returns," Applied Financial Economics, Taylor & Francis Journals, vol. 15(17), pages 1181-1188.
  19. Daniel Kaimann, 2014. "Combining Qualitative Comparative Analysis and Shapley Value Decomposition: A Novel Approach for Modeling Complex Causal Structures in Dynamic Markets," Working Papers Dissertations 12, Paderborn University, Faculty of Business Administration and Economics.
  20. Sudip Bhattacharjee & Ram D. Gopal & Kaveepan Lertwachara & James R. Marsden & Rahul Telang, 2007. "The Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of Albums on Ranking Charts," Management Science, INFORMS, vol. 53(9), pages 1359-1374, September.
  21. Mark J Ferrari & Andrew Rudd, 2008. "Investing in movies," Journal of Asset Management, Palgrave Macmillan, vol. 9(1), pages 22-40, May.
  22. Lili Kang & Fei Peng, 2024. "Star power as quality signal or marketing effect? A path analysis on China's motion‐picture industry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3639-3655, July.
  23. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
  24. Guangchao Charles Feng, 2017. "The dynamics of the Chinese film industry: factors affecting Chinese audiences’ intentions to see movies," Asia Pacific Business Review, Taylor & Francis Journals, vol. 23(5), pages 658-676, October.
  25. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
  26. Fernanda Gutiérrez-Navratil & Víctor Fernández-Blanco & Luis Orea Sánchez & Juan Prieto Rodríguez, 2017. "Do Movie Majors Really Collude? Indirect Evidence from Release Schedules," Hacienda Pública Española / Review of Public Economics, IEF, vol. 221(2), pages 9-31, June.
  27. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
  28. Michael Pokorny & John Sedgwick, 2010. "Profitability trends in Hollywood, 1929 to 1999: somebody must know something1," Economic History Review, Economic History Society, vol. 63(1), pages 56-84, February.
  29. John Sedgwick & Michael Pokorny, 2010. "Consumers as risk takers: Evidence from the film industry during the 1930s," Business History, Taylor & Francis Journals, vol. 52(1), pages 74-99.
  30. McKenzie, Jordi, 2013. "Predicting box office with and without markets: Do internet users know anything?," Information Economics and Policy, Elsevier, vol. 25(2), pages 70-80.
  31. Brinja Meiseberg & Thomas Ehrmann, 2013. "Diversity in teams and the success of cultural products," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 61-86, February.
  32. A. E. Scorcu & R. Zanola, 2018. "The drowned and the saved: the determinants of success in the Italian temporary art and cultural exhibitions market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 201-211, May.
  33. Yi Liao & Yuxuan Peng & Songlin Shi & Victor Shi & Xiaohong Yu, 2022. "Early box office prediction in China’s film market based on a stacking fusion model," Annals of Operations Research, Springer, vol. 308(1), pages 321-338, January.
  34. Jordi Mckenzie, 2008. "Bayesian Information Transmission and Stable Distributions: Motion Picture Revenues at the Australian Box Office," The Economic Record, The Economic Society of Australia, vol. 84(266), pages 338-353, September.
  35. Chien-Ping Chen, 2009. "A Puzzle or a Choice: Uniform Pricing for Motion Pictures at the Box," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 37(1), pages 73-85, March.
  36. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.
  37. Allègre Hadida, 2010. "Commercial success and artistic recognition of motion picture projects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 45-80, February.
  38. Iain Pardoe & Dean K. Simonton, 2008. "Applying discrete choice models to predict Academy Award winners," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 375-394, April.
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