Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Multidisiplin Sahombu
Boquifai, Petronela Maria Merces da Costa
Unknown Affiliation
Arts Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
The Role of Price to Earning Ratio as an Intervening Variable in the Relationship Between Financial Ratios and Stock Returns of Transportation Sector Issuers on the Indonesia Stock Exchange During the 2020–2024 Period Boquifai, Petronela Maria Merces da Costa; Pandin, Maria Yovia R; Kusmaningtyas, Amiartuti
Jurnal Multidisiplin Sahombu Vol. 5 No. 04 (2025): Jurnal Multidisiplin Sahombu, May - Juny (2025)
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study investigates the role of the Price to Earning Ratio (PER) as a mediating variable in the relationship between financial ratios, Return on Assets (ROA), Current Ratio (CR), and Debt to Equity Ratio (DER. and stock returns of transportation companies listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. Employing a quantitative approach with Structural Equation Modeling (SEM) using SmartPLS, the analysis reveals that CR and DER significantly influence PER, while ROA does not. However, PER does not significantly affect stock returns, indicating it is not an effective mediating variable. Additionally, the direct effects of ROA, CR, and DER on stock returns are also statistically insignificant. These findings suggest that stock returns in the transportation sector are more influenced by external factors, such as macroeconomic conditions and investor sentiment, than by internal financial metrics. The study contributes to the financial literature by emphasizing the limited role of traditional financial ratios in predicting stock performance within this sector.
Co-Authors Amiartuti Kusmaningtyas Pandin, Maria Yovia R