Pengaruh Overconfidence Bias terhadap Pengambilan Keputusan Investasi di Pasar Saham Selama Perang Rusia-Ukraina

This study examines the impact of overconfidence bias on investment decision-making during the Rusia-Ikraine war in the Indonesian energy stock market. Overconfidence bias is a cognitive bias where investors overestimate their ability to predict market movements, often leading to an increase in transaction frequency and the taking of irrational risks. Using stock return data from the companies INCO, ADRO, ITMG, and the JKSE during the 2022-2024 activity lever segregation methods to explore this phenomenon. The results indicate that high market volatility exerbates overconfidence bias, particulary among investors with high activity levels leading to more frequent transactions and suboptimal investment decisions. In contrast, investors with lower activity levels tend to exhibit more rational behavior, maintaining better portolio stability during extreme market conditions promote more rational decision-making. These findings contribute sifnificantly to the understanding of investor psychology the importance of strategies to mitigate cognitive biases, especially during periods of high market volatility.

Institutions

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
DOI
https://doi.org/10.32670/coopetition.v16i1.5011
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pengaruh Overconfidence Bias terhadap Pengambilan Keputusan Investasi di Pasar Saham Selama Perang Rusia-Ukraina

SHILAP Revista de lepidopterología
Genomics and Phylogenetic Studies
article

Pengaruh Overconfidence Bias terhadap Pengambilan Keputusan Investasi di Pasar Saham Selama Perang Rusia-Ukraina

article en

Abstract

This study examines the impact of overconfidence bias on investment decision-making during the Rusia-Ikraine war in the Indonesian energy stock market. Overconfidence bias is a cognitive bias where investors overestimate their ability to predict market movements, often leading to an increase in transaction frequency and the taking of irrational risks. Using stock return data from the companies INCO, ADRO, ITMG, and the JKSE during the 2022-2024 activity lever segregation methods to explore this phenomenon. The results indicate that high market volatility exerbates overconfidence bias, particulary among investors with high activity levels leading to more frequent transactions and suboptimal investment decisions. In contrast, investors with lower activity levels tend to exhibit more rational behavior, maintaining better portolio stability during extreme market conditions promote more rational decision-making. These findings contribute sifnificantly to the understanding of investor psychology the importance of strategies to mitigate cognitive biases, especially during periods of high market volatility.

SHILAP Revista de lepidopterología
Universitas Informatika dan Bisnis Indonesia (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 59%
Genomics and Phylogenetic Studies
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.

Pengaruh Overconfidence Bias terhadap Pengambilan Keputusan Investasi di Pasar Saham Selama Perang Rusia-Ukraina · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS