Computational Finance Journal is an academic journal dedicated to the application of computational methods and models in the financial field. This magazine is jointly initiated by experts in the fields of finance, computer science, and mathematics, aiming to explore and promote the application of computing technology in financial decision-making, risk management, market analysis, and other areas. The magazine covers various fields such as financial engineering, quantitative strategy, algorithmic trading, risk management, asset pricing, and financial simulation. It particularly emphasizes the innovation and practicality of computational methods, as well as how these methods can help financial professionals better understand and predict market behavior.

The magazine was founded at the beginning of the 21st century. With the increasing complexity and dynamism of financial markets, traditional financial analysis methods are no longer able to meet the needs of the modern financial industry. Therefore, this magazine was born with the aim of providing a platform for financial experts, computer scientists, and mathematicians to share their latest research achievements and innovative technologies in the field of financial computing. The main readership of this magazine includes financial analysts, risk management experts, investment bankers, fund managers, financial scholars, as well as students and researchers interested in financial calculations. It is also an important resource in the field of financial education and research.