ACF stands for Experimental Computational Finance.

ACF stands for agent-based computational finance, which is translated as computational experimental finance in Chinese. This theory refers to the application of computer technology to simulate actual financial markets, such as stock markets, foreign exchange markets, futures markets, etc., in established markets. Under the structure, it is a branch of finance that studies the behavior of agents (investors) at the micro level of the market to reveal the causes of the formation of the macro characteristics of the market.

Information Systems attempts to use computational experimental finance methods to solve some financial research problems that are difficult to solve with conventional financial economics methods under Chinese market conditions, thereby advocating the development of computational experimental finance in our country.

Computational experimental finance includes the following three aspects:

1. Financial complexity research

2. Complex system modeling related technologies

< p>3. Financial engineering, behavioral finance and other basic finance-related theories

It combines the theoretical ideas of Complex Adaptive Systems (CAS) with computer technology, and reveals from the micro level by building an artificial financial market model. Macrodynamic characteristics of financial markets.