Laksono, Gunadi
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The Impact Of Coal And Nickel Shocks On Stock Volatility Throughout The Dynamic Era Laksono, Gunadi; Putri, Anindya Prasisca Rena Zhetira
KEUNIS Vol. 12 No. 2 (2024): JULY 2024
Publisher : Finance and Banking Program, Accounting Department, Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/keunis.v12i2.5627

Abstract

Numerous scholars have examined the relationship between stock returns and metal commodities, but there has been less emphasis on specific metal commodities such as coal and nickel. This study sought to investigate the correlation between coal and nickel price fluctuations and their impact on stock market volatility. The researchers employed the GARCH and EGARCH models for analysis. This study utilized data on coal price, nickel price, and two stock market indices in Indonesia, specifically LQ45 and IDX30, spanning from January 2020 to December 2023. The results indicate that there was no substantial correlation between coal shock and nickel shock on stock market volatility. The EGARCH model would be more suitable for prediction. The significance of this research lies in its discovery of the relationship between coal shock and nickel shock on stock return throughout a dynamic period.
DO MACROECONOMICS AND COMMODITIES PREDICT STOCK MARKET? : An Evidence From GARCH Model Laksono, Gunadi; Eka Puspita, Mutiara
Applied Research in Management and Business Vol. 4 No. 2 (2024): Desember 2024
Publisher : Fakultas Ekonomi, Bisnis dan Humaniora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53416/arimbi.v4i2.299

Abstract

The stock market is a leading indicator and barometer of a nation’s economics and is influenced by a wide of factors, including macroeconomic conditions and global commodity prices. One of the consequential effects of the stock market is foreign exchange. International commodity prices, such as tin, may have an impact on the stock market too. Foreign exchange and the stock market are two significant components of the financial system, and the price of commodities has been a concern for industrialists, economists, and researchers in recent years. This research examines the effect of foreign exchange and commodities on the stock market, uses daily data from the beginning of January 2020 to the end of December 2023, and applies the Generalized Auto Regression Conditional Heterokedasticity (GARCH) method. The findings show that foreign exchange has a negative significant effect on the stock market, while commodities have a positive and significant effect on the stock