Earticle

초록

영어

This study examined how marketing performance affects company stock values based on the stock price prediction method. A causal relationship exists between marketing performance and stock value. Many factors (both external and internal) affect stock value, therefore, improving the accuracy of stock price forecasts is vital. In the digital economy, customers are connected via social media, thus word of mouth advocating a company has an important positive impact on marketing performance which, in turn, enhances stock value, making it essential to predict stock prices accurately. In this study, the improvement in the stock price prediction rate is explained using deep learning methods. The accuracy of stock price prediction is crucial to determine the value of a stock as it reflects the company's value. Therefore, we considered representative methods of deep learning to predict marketing performance in the context of developing stock price forecasting accuracy. In addition, this study improves stock price forecasting using a review of the mean squared error as an index of prediction accuracy using deep learning methods.

목차

Abstract
I. Introduction
II. Marketing Performance
III. Stock Price Prediction
1. Deep Learning
2. Methods of Deep Learning
IV. Conclusion and Future Studies
Reference

키워드

저자

• Doh, Saeran [ Associate Professor, School of Food, Agricultural and Environment Sciences, Miyagi University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  콘텐츠와산업 [Journal of Contents and Industry]

• 간기

  격월간

• pISSN

  2765-317X

• 수록기간

  2019~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 600 DDC 700