TIRAI INFLASI; MEMBONGKAR MISTERI PERGERAKAN HARGA SAHAM HARUM ENERGY
DOI:
https://doi.org/10.17977/um066v4i92024p5Keywords:
Volatilitas Saham, HRUM, Inflasi, Pasar Modal, Stock Volatility, Inflation, Capital Market,, Correlation AnalysisAbstract
Penelitian ini bertujuan untuk menganalisis hubungan antara volatilitas inflasi
dan volatilitas harga saham HARUM ENERGY (HRUM) selama periode 2019-
2024. Menggunakan pendekatan kuantitatif dan metode analisis korelasi
Pearson, studi ini menyelidiki pengaruh inflasi terhadap pergerakan harga
saham. Data sekunder diperoleh dari harga saham bulanan HRUM dan tingkat
inflasi dari Bank Indonesia. Uji normalitas Jarque-Bera menunjukkan data
berdistribusi normal dengan nilai probabilitas 0.102267. Hasil uji korelasi
Pearson mengungkapkan koefisien korelasi 0.322939 dengan probabilitas
0.0083, menandakan adanya hubungan positif namun lemah antara volatilitas
inflasi dan volatilitas harga saham HRUM. Penelitian menyimpulkan bahwa
meskipun terdapat hubungan signifikan secara statistik, inflasi memiliki
pengaruh terbatas terhadap volatilitas harga saham HRUM, dan faktor lain
seperti industri spesifik dan sentimen investor mungkin memainkan peran
lebih dominan.
This study aims to analyze the relationship between inflation volatility and
HARUM ENERGY (HRUM) stock price volatility during the 2019-2024 period.
Using a quantitative approach and Pearson correlation analysis method, the
study investigates the impact of inflation on stock price movements.
Secondary data was obtained from monthly HRUM stock prices and inflation
rates from Bank Indonesia. The Jarque-Bera normality test showed normally
distributed data with a probability value of 0.102267. Pearson correlation test
results revealed a correlation coefficient of 0.322939 with a probability of
0.0083, indicating a weak positive relationship between inflation volatility and
HRUM stock price volatility. The research concludes that although there is a
statistically significant relationship, inflation has a limited impact on HRUM
stock price volatility, and other factors such as industry-specific
characteristics and investor sentiment may play a more dominant role.
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