Emerging Technologies in Finance: Revolutionizing Investment Strategies and Tax Management in the Digital Era
DOI:
https://doi.org/10.5281/zenodo.13283670Keywords:
blockchain, artificial intelligence, big data analytics, financial technologyAbstract
This paper explores the transformative impact of emerging technologies on the financial sector, focusing on blockchain, artificial intelligence (AI), machine learning (ML), and big data analytics. These technologies have revolutionized investment strategies and tax management, offering unprecedented efficiency, transparency, and security. With its decentralized and immutable nature, blockchain technology has introduced innovative applications such as smart contracts and decentralized finance (DeFi), enhancing transparency and reducing transaction costs. AI and ML have revolutionized investment strategies by enabling sophisticated algorithmic trading, risk assessment, and portfolio optimization. Big data analytics has emerged as a powerful tool in tax management, facilitating real-time fraud detection, compliance monitoring, and tax optimization. This research provides a comprehensive analysis of the current applications and potential future developments of these technologies in finance. It also addresses the challenges and limitations of their adoption, including regulatory issues, data privacy concerns, and ethical considerations. The findings offer valuable insights for financial institutions, regulators, and policymakers to navigate the rapidly evolving technological landscape and harness the potential benefits of these innovations.
Downloads
References
Kunhibava, S., Muneeza, A., Sa'ad, A., Karim, M. E., & Mustapha, Z. (2021). Blockchain sukuk report 2021. IEEE Transactions on Engineering Management, 68(4), 1168-1172.
Mohammed, M. A., & Abdul Wahab, H. B. (2023). New tax system based on lightweight blockchain technology. in Second International Conference on Advanced Computer Applications (ACA), pp. 113-116. IEEE.
Kunhibava, S., Khalid, M., Muneeza, A., & Mustapha, Z. (2023). Understanding blockchain technology in Islamic social finance and its opportunities in the metaverse. in 20th Learning and Technology Conference (L&T), pp. 37-41. IEEE.
Jain, N., & Sedamkar, R. R. (2020). A blockchain technology approach for the security and trust in trade finance. in International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE), pp. 192-197. IEEE.
Patel, C., Verma, R., Juyal, A., Shravan, M., Al-Hilali, A. A., & Alazzam, M. B. (2023). Evaluating the effectiveness of blockchain in supply chain finance. in 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), pp. 140-144. IEEE.
Li, H., Wang, S. X., Shang, F., Niu, K., & Song, R. (2024). Applications of large language models in cloud computing: An empirical study using real-world data. International Journal of Innovative Research in Computer Science & Technology, 12(4), 59-69.
Ping, G., Wang, S. X., Zhao, F., Wang, Z., & Zhang, X. (2024). Blockchain-based reverse logistics data tracking: an innovative approach to enhance e-waste recycling efficiency.
Zhan, X., Shi, C., Li, L., Xu, K., & Zheng, H. (2024). Aspect category sentiment analysis based on multiple attention mechanisms and pre-trained models. Applied and Computational Engineering, 71, 21-26.
Liu, B., Zhao, X., Hu, H., Lin, Q., & Huang, J. (2023). Detection of esophageal cancer lesions based on CBAM faster R-CNN. Journal of Theory and Practice of Engineering Science, 3(12), 36-42.
Liu, B., Yu, L., Che, C., Lin, Q., Hu, H., & Zhao, X. (2024). Integration and performance analysis of artificial intelligence and computer vision based on deep learning algorithms. Applied and Computational Engineering, 64, 36-41.
Liu, B. (2023). Based on intelligent advertising recommendations and abnormal advertising monitoring systems in machine learning. International Journal of Computer Science and Information Technology, 1(1), 17-23.
Wu, B., Xu, J., Zhang, Y., Liu, B., Gong, Y., & Huang, J. (2024). Integration of computer networks and artificial neural networks for an AI-based network operator. arXiv preprint arXiv:2407.01541.
Liang, P., Song, B., Zhan, X., Chen, Z., & Yuan, J. (2024). Automating the training and deployment of models in MLOps by integrating systems with machine learning. Applied and Computational Engineering, 67, 1-7.
Li, A., Yang, T., Zhan, X., Shi, Y., & Li, H. (2024). Utilizing data science and AI for customer churn prediction in marketing. Journal of Theory and Practice of Engineering Science, 4(05), 72-79.
Wu, B., Gong, Y., Zheng, H., Zhang, Y., Huang, J., & Xu, J. (2024). Enterprise cloud resource optimization and management based on cloud operations. Applied and Computational Engineering, 67, 8-14.
Guo, L., Li, Z., Qian, K., Ding, W., & Chen, Z. (2024). Bank credit risk early warning model based on machine learning decision trees. Journal of Economic Theory and Business Management, 1(3), 24-30.
Xu, Z., Guo, L., Zhou, S., Song, R., & Niu, K. (2024). Enterprise supply chain risk management and decision support driven by large language models. Applied Science and Engineering Journal for Advanced Research, 3(4), 1-7.
Yang, T., Xin, Q., Zhan, X., Zhuang, S., & Li, H. (2024). Enhancing financial services through big data and ai-driven customer insights and risk analysis. Journal of Knowledge Learning and Science Technology, 3(3), 53-62.
Zhan, X., Ling, Z., Xu, Z., Guo, L., & Zhuang, S. (2024). Driving efficiency and risk management in finance through AI and RPA. Unique Endeavor in Business & Social Sciences, 3(1), 189-197.
Feng, Y., Qi, Y., Li, H., Wang, X., & Tian, J. (2024, July 11). Leveraging federated learning and edge computing for recommendation systems within cloud computing networks. in Proceedings of the Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 13210, pp. 279-287. SPIE.
Gong, Y., Liu, H., Li, L., Tian, J., & Li, H. (2024, February 28). Deep learning-based medical image registration algorithm: Enhancing accuracy with dense connections and channel attention mechanisms. Journal of Theory and Practice of Engineering Science, 4(02), 1-7.
Shi, Y., Li, L., Li, H., Li, A., & Lin, Y. (2024). Aspect-level sentiment analysis of customer reviews based on neural multi-task learning. Journal of Theory and Practice of Engineering Science, 4(04), 1-8.
Yuan, J., Lin, Y., Shi, Y., Yang, T., & Li, A. (2024). Applications of artificial intelligence generative adversarial techniques in the financial sector. Academic Journal of Sociology and Management, 2(3), 59-66.
Li, Huixiang, et al. (2024). AI face recognition and processing technology based on GPU computing. Journal of Theory and Practice of Engineering Science, 4(05), 9-16.
Zhan, T., Shi, C., Shi, Y., Li, H., & Lin, Y. (2024). Optimization techniques for sentiment analysis based on LLM (GPT-3). arXiv preprint arXiv:2405.09770.
Lin, Y., Li, A., Li, H., Shi, Y., & Zhan, X. (2024). GPU-optimized image processing and generation based on deep learning and computer vision. Journal of Artificial Intelligence General Science (JAIGS), 5(1), 39-49.
Chen, Zhou, et al. (2024). Application of cloud-driven intelligent medical imaging analysis in disease detection. Journal of Theory and Practice of Engineering Science, 4(05), 64-71.
Yang, P., Chen, Z., Su, G., Lei, H., & Wang, B. (2024). Enhancing traffic flow monitoring with machine learning integration on cloud data warehousing. Applied and Computational Engineering, 67, 15-21.
Jiang, W., Qian, K., Fan, C., Ding, W., & Li, Z. (2024). Applications of generative AI-based financial robot advisors as investment consultants. Applied and Computational Engineering, 67, 28-33.
Fan, C., Ding, W., Qian, K., Tan, H., & Li, Z. (2024). Cueing flight object trajectory and safety prediction based on SLAM technology. Journal of Theory and Practice of Engineering Science, 4(05), 1-8.
Jiang, W., Yang, T., Li, A., Lin, Y., & Bai, X. (2024). The application of generative artificial intelligence in virtual financial advisor and capital market analysis. Academic Journal of Sociology and Management, 2(3), 40-46.
Li A, Zhuang S, Yang T, Lu W, Xu J. Optimization of logistics cargo tracking and transportation efficiency based on data science deep learning models. Applied and Computational Engineering, 69, 71-7.
Xu, J., Yang, T., Zhuang, S., Li, H. and Lu, W., 2024. AI-based financial transaction monitoring and fraud prevention with behavior prediction. Applied and Computational Engineering, 77, 218-224.
Ling, Z., Xin, Q., Lin, Y., Su, G. and Shui, Z., 2024. Optimization of autonomous driving image detection based on Racon and triplet attention. Applied and Computational Engineering, 77, 210-217.
He, Z., Shen, X., Zhou, Y., & Wang, Y. (2024, January). Application of K-means clustering based on artificial intelligence in gene statistics of biological information engineering. in Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, pp. 468-473.
Gong, Y., Zhu, M., Huo, S., Xiang, Y., & Yu, H. (2024, March). Utilizing deep learning for enhancing network resilience in finance. in 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE), pp. 987-991. IEEE.
Yang, T., Li, A., Xu, J., Su, G. and Wang, J., 2024. Deep learning model-driven financial risk prediction and analysis. Applied and Computational Engineering, 77, 196-202.
Zhou, Y., Zhan, T., Wu, Y., Song, B., & Shi, C. (2024). RNA secondary structure prediction using transformer-based deep learning models. arXiv preprint arXiv:2405.06655.
Liu, B., Cai, G., Ling, Z., Qian, J., & Zhang, Q. (2024). Precise positioning and prediction system for autonomous driving based on generative artificial intelligence. Applied and Computational Engineering, 64, 42-49.
Xu, Z., Guo, L., Zhou, S., Song, R., & Niu, K. (2024). Enterprise supply chain risk management and decision support driven by large language models. Journal of Computer Technology and Applied Mathematics.
Lin, Y., Li, A., Li, H., Shi, Y., & Zhan, X. (2024). GPU-optimized image processing and generation based on deep learning and computer vision. Journal of Computer Technology and Applied Mathematics.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Siyang Li, Haosen Xu, Tianyi Lu, Guanghe Cao, Xu Zhang
This work is licensed under a Creative Commons Attribution 4.0 International License.