This study, titled "Application of Deep Learning Techniques in Financial Forecasting and Portfolio Management," evaluates the predictive accuracy, model architecture allocations, risk-adjusted returns, and financial feasibility of artificial neural networks in asset management. Modern investment portfolios operate unde...
T. Anjali, M. Prasad, T. Meghana· International Journal of Dat...· 0 citations
This study, titled "A Study on Blockchain and Artificial Intelligence Integration for Secure Financial Transactions at HDFC Bank," evaluates the structural shifts, security improvements, and financial feasibility of integrating distributed ledger technology (blockchain) and machine learning systems (AI) into private co...
B. Vijay, M. Prasad, T. Meghana· International Journal of Eng...· 0 citations
It is concluded that investing in predictive credit risk analytics is highly viable, providing commercial banks with enhanced asset quality, lower provisioning overhead, and improved capital adequacy.
Pamarthi Sai, M. Prasad, B. Vijay· American Journal of AI Cyber...· 0 citations
Artificial Intelligence (AI) has emerged as a transformative technology in the banking and financial sector, enabling institutions to improve the accuracy, speed, and reliability of credit risk assessment. Traditional credit evaluation methods often rely on limited financial indicators and manual decision-making proces...
Saifanaaz, M. Prasad, T. Meghana· International Journal of AI...· 0 citations
The study concludes that the integration of machine learning algorithms into investment decision-making processes represents a highly viable and financially feasible strategy for modern banking and asset management portfolios, delivering significant risk-adjusted financial returns.
Mukkala Aravind, M. Prasad, Srilekha Rageru· American Journal of AI Cyber...· 0 citations
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