Box-Jenkins模型的股票价格预测:达美航空的应用

Muhammed Fatih Yürük
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引用次数: 0

摘要

航空工业对各国的经济发展有很大的影响。该行业在直接和间接增加全球国内生产总值方面都是有效的。航空公司在经济发展中的份额很重要。本研究试图估算对经济增长有贡献的航空公司的月股价。在这项研究中,Delta航空公司是美国最大的航空公司之一,在纽约证券交易所(NYSE)交易,涵盖2010年1月至2021年12月期间的股票月度价格被纳入研究。股票价格来自Box- Jenkins模型;已经尝试使用自回归模型(AR),移动平均模型(MA),自回归和移动平均模型(ARMA)进行估计。在本研究中,(AR)模型被纳入预测建模,因为它提供了假设。研究结果表明,Box- Jenkins方法在估计输出中取得了成功的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stock Price Forecasting with Box-Jenkins Models: Delta Airlines Application
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 (NYSE), covering the period of 2010 January-2021 December, were included in the study. Stock prices are from Box- Jenkins models; It has been tried to estimate using Autoregressive Models (AR), Moving Average Models (MA), Autoregressive and Moving Average Model (ARMA). In the study, the (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.
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