Advanced Machine Learning Algorithms for Complex Financial Applications

The advancement in FinTech, especially AI and ML, has significantly affected the way financial services are offered and adopted today. ML is used in many financial companies to reduce operational costs, analyze large volumes of historical data, and make better trading decisions. This book provides an overview of the roles of AI and ML algorithms in financial sectors and a collection of research works that address broad challenges in both theoretical and application aspects of AI in finance.

Format: Hardback
Length: 335 pages
Publication date: 30 December 2022
Publisher: IGI Global

The impact of FinTech, particularly artificial intelligence (AI) and machine learning (ML), on the financial services industry has been profound. These advanced technologies have revolutionized the way financial services are offered and adopted, leading to increased complexity in important financial decisions such as investment decision-making, macroeconomic analysis, and credit evaluation.

One of the key ways in which ML is being utilized in the financial sector is through process automation. By leveraging ML algorithms, financial companies can reduce operational costs by automating repetitive tasks and increasing productivity. This not only enhances efficiency but also allows for more accurate and timely decision-making.

ML can also analyze large volumes of historical data, enabling financial institutions to make better trading decisions and increase revenue. By leveraging machine learning algorithms, financial institutions can identify patterns and trends in market data that may have gone unnoticed by human analysts, leading to more informed investment strategies and improved profitability.

In addition to its applications in trading and investment, ML is also being used in financial risk management. By analyzing large datasets and identifying potential risks, ML algorithms can help financial institutions develop more robust risk management strategies and mitigate the impact of unexpected events.

This book provides an in-depth exploration of the roles of AI and ML algorithms in the financial sector, with a special focus on complex financial applications such as financial risk management in a big data environment. It includes a collection of high-quality research works that address broad challenges in both theoretical and application aspects of AI in the field of finance.

As the financial services industry continues to evolve, it is clear that AI and ML will play an increasingly important role in shaping the future of financial services. By leveraging these advanced technologies, financial institutions can improve efficiency, accuracy, and profitability, while also providing better services to their customers.

Dimension: 279 x 216 (mm)
ISBN-13: 9781668444832