Investor sentiment based on search engine data for predicting stock returns in Indonesia industrial sector

Author:

Hidayat Yusuf MurtadloORCID,Nugraha NugrahaORCID,Disman Disman,Sari MayaORCID,Bustam Muhammad RayhanORCID

Abstract

This study aims to investigate investor sentiment and its effect on the industrial sector in Indonesia. In the study, investor sentiment was extracted from data obtained from search engines. Then the data were used to see how the sentiment affected the stock return in each listed industrial company. Fifteen industrial sector companies listed on the stock exchange were selected; each was analyzed for their search volume and the effect on stock returns using panel data regression from March 2020 to April 2022. The result shows that investor sentiment affects the level of stock returns in the industrial sector in Indonesia. This result indicates that with the increase in search volume on search engines, which reflects positive sentiment, there will be an increase in stock trading transactions and vice versa. This study's findings will help investors make investment decisions, especially in the industrial sector.

Publisher

Journal of Eastern European and Central Asian Research

Subject

Marketing,Organizational Behavior and Human Resource Management,Strategy and Management,Economics and Econometrics,Finance,Business and International Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Measuring the risk and return of Indonesia's and United States Stock Index;Journal of Eastern European and Central Asian Research (JEECAR);2024-04-06

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