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Trading Volume Activity, January Effect, and Stock Splits on Stock Market Returns Zalisman Rahmadan; Yuliusman Yuliusman; Rita Friyani
Indonesian Journal of Business Analytics Vol. 3 No. 6 (2023): December 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v3i6.5840

Abstract

This study aims to explore and assess the correlation between Trading Volume Activity, Stock Splits, and the January Effect on Stock Market Returns. The study was carried out at technology sector companies listed on the Indonesia Stock Exchange (IDX). Nineteen sets of firm data were selected for analysis, each consisting of observations covering two years. The process of choosing data employed a purposive sampling technique, which involved the application of three specific criteria. The data underwent examination using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique with SmartPLS 3.2.9 application. The study's findings indicate no significant connection between trading volume activity on stock market returns. However, it is observed that stock splits and the occurrence of January affect the impact on stock market returns.
The Influence of Customer Satisfaction, Service Quality on Financial Performance at Perumda Tirta Mayang Drinking Water, Jambi City Rita Friyani; Wiralestari Wiralestari; Novita Ekasari
Indonesian Journal of Business Analytics Vol. 3 No. 6 (2023): December 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijba.v3i6.5904

Abstract

The purpose of this study was to see the effect of Customer Satisfaction, Service Quality on the Financial Performance of Perumda Tirta Mayang Jambi City. The population in this study were all customers of Perumda Tirta Mayang, Jambi City, totaling 94,024 customers. Sampling used the Slovin formula to obtain a total sample of 100 people. Methods of data collection using a questionnaire. The data analysis method used is logistic regression analysis using the SPSS version 24 software program.