A optimal Portfolio Optimization Using Markowitz And Stochastic Dominance Models As A Basis For Investment Decisions (Study Of Companies Included In The LQ-45 Index Listed On The Bei 2018-2022 )

This research aims to determine the relationship between the optimal portfolio using the Markowitz and Stochastic Dominance models with stock prices as one of the bases for investment decisions. The population of this research is the LQ45 Index Companies Listed on the Indonesia Stock Exchange for 2018-2022, which consists of 45 companies. The sample used in this research was selected through a purposive sampling method. This research uses a quantitative approach with the comparative method SPSS version 22.0 software. The results of the Markowitz Model research have a relationship with stock prices. This is because the results of bivariate analysis using Chi-Square obtained a P value/Asymp. Sig. of 0.000 < the alpha value (0.05) meaning that there is a relationship between the Markowitz Model which has a relationship with stock prices and the Stochastic Dominance Model also has a relationship with stock prices. This is because the results of bivariate analysis using Chi-Square obtained a P value/Asymp. Sig. of 0.000 < the alpha value (0.05), meaning that there is a relationship between Stochastic Dominance and stock prices.

Authors

Publication Details

Journal
Bengkulu International Conference on Economics Management Business and Accounting (BICEMBA)
Published
2024-12-03
DOI
https://doi.org/10.33369/bicemba.2.2024.112
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A optimal Portfolio Optimization Using Markowitz And Stochastic Dominance Models As A Basis For Investment Decisions (Study Of Companies Included In The LQ-45 Index Listed On The Bei 2018-2022 )

Nensi Yuniarti Zs, Gita Anggraini
Bengkulu International Conference on Economics Management Business and Accounting (BICEMBA)
Stock Market Forecasting Methods
article

A optimal Portfolio Optimization Using Markowitz And Stochastic Dominance Models As A Basis For Investment Decisions (Study Of Companies Included In The LQ-45 Index Listed On The Bei 2018-2022 )

Nensi Yuniarti Zs, Gita Anggraini
article en

Abstract

This research aims to determine the relationship between the optimal portfolio using the Markowitz and Stochastic Dominance models with stock prices as one of the bases for investment decisions. The population of this research is the LQ45 Index Companies Listed on the Indonesia Stock Exchange for 2018-2022, which consists of 45 companies. The sample used in this research was selected through a purposive sampling method. This research uses a quantitative approach with the comparative method SPSS version 22.0 software. The results of the Markowitz Model research have a relationship with stock prices. This is because the results of bivariate analysis using Chi-Square obtained a P value/Asymp. Sig. of 0.000 < the alpha value (0.05) meaning that there is a relationship between the Markowitz Model which has a relationship with stock prices and the Stochastic Dominance Model also has a relationship with stock prices. This is because the results of bivariate analysis using Chi-Square obtained a P value/Asymp. Sig. of 0.000 < the alpha value (0.05), meaning that there is a relationship between Stochastic Dominance and stock prices.

Bengkulu International Conference on Economics Management Business and Accounting (BICEMBA)Vol. 2
Openalex Percentile: Top 66%
Stock Market Forecasting Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.