Finding Nemo: Predicting movie performances by machine learning methods

Artikel

Analyzing the success of movies has always been a popular research topic in the film industry. Artificial intelligence and machine learning methods in the movie industry have been applied to modeling the financial success of the movie industry. The new contribution of this research combined Bayesian variable selection and machine learning methods for forecasting the return on investment (ROI). We also attempt to compare machine learning methods including the quantile regression model with movie performance data in terms of in-sample and out of sample forecasting.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 13 ; Year: 2020 ; Issue: 5 ; Pages: 1-12 ; Basel: MDPI

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: quantile regression ; neural network ; machine learning ; forecasting

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Kim, Jong-Min ; Xia, Leixin ; Kim, Iksuk ; Lee, Seungjoo ; Lee, Keon-Hyung
• Ereignis: Veröffentlichung
• (wer): MDPI
• (wo): Basel
• (wann): 2020

Weitere Informationen

• DOI: doi:10.3390/jrfm13050093
• Handle: http://hdl.handle.net/10419/239181
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ