Stock Price Prediction with Box-Jenkins Models: Delta Airlines Application

Authors : Muhammed Fatih YÜRÜK

Pages : 233-241

Doi:10.30518/jav.1277250

View : 49 | Download : 66

Publication Date : 2023-07-25

Article Type : Research Paper

Abstract :The aviation industry has a great impact on the economic development of countries. This industry is effective in increasing the global gross domestic product both directly and indirectly. The share of airline companies in this economic development is important. This study, it is tried to estimate the monthly stock price of an airline company that contributes to economic growth. In the study, the monthly prices of shares of Delta Airlines, which are among the largest airline companies in America, traded in the New York Stock Exchange insert ignore into journalissuearticles values(NYSE);, covering the period of 2010 January-2021 December, were included. Stock prices are from Box- Jenkins models; It has been tried to estimate using Autoregressive Models insert ignore into journalissuearticles values(AR);, Moving Average Models insert ignore into journalissuearticles values(MA);, Autoregressive and Moving Average Model insert ignore into journalissuearticles values(ARMA);. In the study, the insert ignore into journalissuearticles values(AR); model was included in the prediction modelling because it provided the assumptions. The result of the study showed that the Box- Jenkins approach gave successful results in the estimation outputs.
Keywords : Aviation, ARMA, ARIMA, Box Jenkins

ORIGINAL ARTICLE URL