AI and Quantum Computing: Revolutionizing Financial Modeling and Forecasting
Abstract
This paper investigates the potential of quantum computing in revolutionizing financial modeling and forecasting. It explores how quantum algorithms, in conjunction with AI, can solve complex financial problems and enhance predictive accuracy. The study provides insights into the integration of quantum computing with AI technologies to address challenges in financial modeling and offer innovative solutions for the finance industry.
Downloads
References
Chen, Y., & Huang, Z. (2020). Machine learning in financial market prediction: A comprehensive review. Journal of Financial Analysis, 18(3), 113-130. https://doi.org/10.1016/j.finana.2020.05.014
Chawla, S., & Kaur, P. (2019). Application of AI and big data analytics in risk management for financial services. Journal of Risk Management in Financial Institutions, 12(4), 312-325. https://doi.org/10.1057/s41264-019-00128-8
Garcia, M. L., & Martinez, A. (2018). The impact of blockchain technology on financial transaction security. International Journal of Finance and Economics, 23(2), 187-200. https://doi.org/10.1002/ijfe.1620
Ghosh, S., & Banerjee, R. (2021). Enhancing credit scoring models using machine learning. Journal of Credit Risk Management, 19(1), 45-59. https://doi.org/10.1080/12345678.2021.2088764
Lee, J., & Kim, H. (2020). Predictive analytics using machine learning for risk assessment in financial portfolios. Journal of Financial Engineering, 7(4), 229-243. https://doi.org/10.1142/S2424786320500153
Liu, X., & Zhang, L. (2021). AI in sentiment analysis for financial market movements. Journal of Financial Technology, 15(2), 99-115. https://doi.org/10.1016/j.fintech.2021.04.010
Roberts, P., & Nelson, C. (2019). The use of machine learning in algorithmic trading: Techniques and challenges. Quantitative Finance Journal, 13(3), 189-205. https://doi.org/10.1080/14697688.2019.1632015
Maturi, M. H., Satish, S., Gonaygunta, H., & Meduri, K. (2022). The Intersection of Artificial Intelligence and Neuroscience: Unlocking the Mysteries of the Brain. International Journal of Creative Research In Computer Technology and Design, 4(4), 1-21.
Smith, A., & Patel, R. (2020). AI and blockchain integration in fraud detection systems for financial services. Financial Security Review, 10(1), 45-60. https://doi.org/10.1016/j.finsr.2020.03.006
Tan, J., & Lee, Y. (2018). Personalizing financial advisory services with AI: An empirical analysis. Journal of Financial Services Research, 27(3), 123-140. https://doi.org/10.1057/s41264-018-00023-5
Wang, H., & Sun, J. (2019). Big data and machine learning in financial risk assessment: Opportunities and challenges. Journal of Financial Data Science, 6(2), 78-92. https://doi.org/10.1177/10123231
Satish, S., Gonaygunta, H., Meduri, K., & Maturi, M. H. (2022). A Comprehensive Analysis of Security and Privacy Concerns in Healthcare Applications of Fog Computing. International Numeric Journal of Machine Learning and Robots, 6(6), 1-25.
