Market efficiency and global issues: A case of Indonesia

Author:

Swandari Budiarso Novi1ORCID,Pontoh Winston2ORCID

Affiliation:

1. Lecturer, Economics and Business Faculty, Accounting Department, Sam Ratulangi University

2. Lecturer, Professor, Economics and Business Faculty, Accounting Department, Sam Ratulangi University

Abstract

The efficient market hypothesis assumes that the stock prices fully reflect all relevant information. Under the weak form, the future prices are independent of current prices or in the other words, they follow the random walk hypothesis. Global issues tend to have an impact on capital markets around the world. Therefore, the objective of this study is to assess the effect of global issues on the movements of expected returns in the Indonesian capital market from January 1, 2022, to June 30, 2022. The sample of 755 listed firms is used to test whether the expected returns have a random pattern during the observation period. The results of runs tests and variance ratio test show that the expected return movements are not random. On those results, the weak form of the efficient market hypothesis is rejected, and it can be concluded that the capital market in Indonesia for this period is inefficient. The findings of this study imply that the information about global issues does not affect the market. The success of the Indonesian government’s strategy in dealing with global issues (including the Covid-19 pandemic) in the form of a vaccination program and also followed by excellent fiscal and monetary policies has led to more predictable returns in the capital market. Moreover, investors can set their portfolios to get extraordinary returns as the market is more predictable.

Publisher

LLC CPC Business Perspectives

Subject

Economics, Econometrics and Finance (miscellaneous),Economics and Econometrics,Finance

Cited by 2 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. The “Christmas Effect” on defensive accelerated stocks;The Contrarian : Finance, Accounting, and Business Research;2023-06-20

2. Model for preventing bankruptcy of Ukrainian enterprises in force majeure circumstances;Problems and Perspectives in Management;2022-12-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3