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All Journal Optimal: Jurnal Ekonomi dan Manajemen
M.Mahdi Alatas
Universitas Bina Sarana Informatika

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AI in Financial Forecasting : Improving Accuracy and Strategy M.Mahdi Alatas; Bilgah Bilgah; Eka Putri Hanyani; Resti Yulistria
OPTIMAL Jurnal Ekonomi dan Manajemen Vol. 5 No. 1 (2025): Jurnal Ekonomi dan Manajemen
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/optimal.v5i1.6541

Abstract

Financial forecasting faces growing challenges due to market volatility and the inadequacy of traditional models like ARIMA and linear regression in handling non-linear, high-frequency financial data. Artificial intelligence (AI), particularly models such as long short-term memory (LSTM) networks and transformer-based systems, has demonstrated superior performance in tasks like predicting S&P 500 index movements and assessing corporate credit risk in real time. These models not only improve accuracy but also enable strategic applications—for instance, integrating live sentiment data from financial news to adjust portfolio allocations within milliseconds. AI systems have also been used by investment firms to simulate recession scenarios and guide capital reserve strategies. However, adoption remains hindered by issues such as the “black box” nature of deep learning, inconsistent data quality, and concerns over algorithmic bias. As AI continues to evolve, its value lies not just in forecasting precision but in supporting adaptive, transparent, and forward-looking financial management
Co-Authors Bilgah Bilgah Eka Putri Hanyani Resti Yulistria