Technological Innovation in Investment Strategies

Abstract

This study examines the impact of AI, machine learning (ML), and blockchain on investment strategies. Using a mixed methods approach with survey data from 90 financial professionals, secondary data, and 12 case studies, the study employed SWOT analysis, percentile method, chi-square, and Kruskal-Wallis H-test for analysis. Findings reveal that 38.9% of respondents find traditional strategies less effective compared to modern approaches. Technological innovations have notably improved portfolio performance and risk management. A substantial 77.8% believe these technologies have transformed traditional strategies. However, data security remains a major concern for 70% of respondents. The study underscores the importance of AI, ML, and blockchain in modernizing investment strategies and highlights the need for robust security measures and further research on long-term impacts. It offers actionable recommendations for investors, policymakers, and researchers to leverage these technologies effectively.