Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

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

Wang Qingshi    
Li Naiqian    
Hashmat Ali    

Resumen

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.Keywords: Movie Box Office, Prediction Model, Arbitrage Pricing Theory, Empirical AnalysisJEL Classifications: C1DOI: https://doi.org/10.32479/ijefi.8383

 Artículos similares

       
 
Amal Al Ali, Ahmed M. Khedr, Magdi El Bannany and Sakeena Kanakkayil    
Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial risk at the lowes... ver más

 
Abdellilah Nafia, Abdellah Yousfi and Abdellah Echaoui    
In recent years, a great deal of attention has been devoted to the use of neural networks in portfolio management, particularly in the prediction of stock prices. Building a more profitable portfolio with less risk has always been a challenging task. In ... ver más

 
Muhamad Jumaa, Mohammed Saqib, Arif Attar     Pág. 85 - 92

 
Phuong Lan Le, Anh Tuan Do and Anh Ngoc Pham    
This study focused on testing the existence of an apartment price bubble in Hanoi (Vietnam) and on determining the factors that affected it in the period between 2010 and 2021. Using the fundamental factor approach, the authors applied VAR regression usi... ver más

 
Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio    
Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to const... ver más
Revista: Forecasting