Analisis Risiko, Pengembalian, dan Koefisien Variasi Investasi Hijau pada Sektor Pertambangan

In recent years, climate change has become a major issue around the world that affects various sectors. Human activities, such as the use of coal, petroleum, and natural gas, contribute to the acceleration of global warming. The green economy has emerged as a new paradigm oriented towards environmental sustainability, one of which is through the SRI-KEHATI index which refers to the Sustainable Development Goal (SDGS) target No.15, which aims to protect, restore, and promote sustainable land use, as well as prevent biodiversity loss. This study aims to analyze the differences in risk, return, and coefficient of variation of green investment in SRIKEHATI-indexed and non-indexed mining sector companies during the 2019-2023 period. The research population includes 10 mining companies engaged in the metal and mineral industry on the Indonesia Stock Exchange (IDX), with a sample of 6 companies selected using purposive sampling. The study uses a quantitative method with monthly stock closing price data obtained from Yahoo Finance. The Independent Sample t-test statistical test is used to analyze the difference in risk and coefficient of variation, while the Mann-Whitney Test is used to analyze the difference in return. The findings of the study show that there is no significant difference in risk, return, or coefficient of variation between SRI-KEHATI indexed and non-indexed companies.

Authors

Institutions

Publication Details

Journal
Value Jurnal Manajemen dan Akuntansi
Published
2025-04-29
DOI
https://doi.org/10.32534/jv.v20i1.7051
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analisis Risiko, Pengembalian, dan Koefisien Variasi Investasi Hijau pada Sektor Pertambangan

Siti Komariah Hildayanti, Emilda Emilda, Amelia Lestari
Value Jurnal Manajemen dan Akuntansi
Economic Growth and Fiscal Policies
article

Analisis Risiko, Pengembalian, dan Koefisien Variasi Investasi Hijau pada Sektor Pertambangan

Siti Komariah Hildayanti, Emilda Emilda, Amelia Lestari
article en

Abstract

In recent years, climate change has become a major issue around the world that affects various sectors. Human activities, such as the use of coal, petroleum, and natural gas, contribute to the acceleration of global warming. The green economy has emerged as a new paradigm oriented towards environmental sustainability, one of which is through the SRI-KEHATI index which refers to the Sustainable Development Goal (SDGS) target No.15, which aims to protect, restore, and promote sustainable land use, as well as prevent biodiversity loss. This study aims to analyze the differences in risk, return, and coefficient of variation of green investment in SRIKEHATI-indexed and non-indexed mining sector companies during the 2019-2023 period. The research population includes 10 mining companies engaged in the metal and mineral industry on the Indonesia Stock Exchange (IDX), with a sample of 6 companies selected using purposive sampling. The study uses a quantitative method with monthly stock closing price data obtained from Yahoo Finance. The Independent Sample t-test statistical test is used to analyze the difference in risk and coefficient of variation, while the Mann-Whitney Test is used to analyze the difference in return. The findings of the study show that there is no significant difference in risk, return, or coefficient of variation between SRI-KEHATI indexed and non-indexed companies.

Value Jurnal Manajemen dan AkuntansiVol. 20(1)
Universitas Indo Global Mandiri (ID)
Openalex Percentile: Top 86%
Economic Growth and Fiscal Policies
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.