Published: 2023-01-01

Pengaruh Profitabilitas, Likuiditas, Earning Per Share, dan Penghindaran Pajak Terhadap Harga Saham pada Perusahaan Indeks LQ45 yang Terdaftar di Bursa Efek Indonesia Periode 2018 -2021

DOI: 10.35870/emt.v7i1.820

Fitri Handayani, Susanti
  • Fitri Handayani: S.T. Manajemen Bisnis Multi Sarana Manajemen Administrasi dan Rekayasa Teknologi ,
  • Susanti: S.T. Manajemen Bisnis Multi Sarana Manajemen Administrasi dan Rekayasa Teknologi ,

Abstract

The objective of the research was to find out the influence of Profitability, Liquidity, Earning per Share (EPS), and Tax Avoidance on Stock Price in the LQ45 Index companies listed in BEI (Indonesian Stock Exchange) Period 2018 - 2021. The research used associative causal method. The samples were 23 LQ45 companies listed in BEI (Indonesian Stock Exchange) in the period 2018 – 2021, taken by using purposive sampling technique. Secondary data were analyzed by using multiple linear regression analysis and interaction (moderating) test with SPSS 25 software program. The result of the research showed that, partially, Earnings per Share (EPS) had positive and significant influence on stock prices while Profitability, Liquidity, and Tax Avoidance have no insignificant influence on stock prices.

Keywords

Profitability ; Liquidity ; Earning per Share (EPS) ; Tax Avoidance ; Stock Price

Peer Review Process

This article has undergone a double-blind peer review process to ensure quality and impartiality.

Indexing Information

Discover where this journal is indexed at our indexing page to understand its reach and credibility.

Open Science Badges

This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.

Issue Cover

Downloads

Article Metrics

If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).

Share:
Article Information

This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.

  • Issue: Vol. 7 No. 1 (2023)

  • Section: Articles

  • Published: January 1, 2023

AI Research Hub

This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.

Semantic Scholar Scite Dimensions Connected Papers

Similar Articles

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)