In general, finance has relatively high requirements for students’ mathematical level. However, compared with pure mathematics, finance focuses more on combining it with reality and explaining investment and finance through mathematics. The inner meaning of the product.

Financial courses that are more theoretical (such as management, market operations, etc.) have lower requirements for mathematics and have more theoretical and conceptual things;

Financial courses that are more financial (such as accounting, financial statement analysis, etc.) only require simple mathematical operations, and more need to memorize its logical concepts;

And most financial courses (including financial theory, financial derivatives, financial mathematics, quantification Analysis, etc.) have relatively high requirements on mathematics.

Mathematics requirements at different stages of study:

At the undergraduate stage, finance is more about learning basic theoretical knowledge, a large part of which is business law and industry ethics. , accounting, financial statements, financial products, etc. The math requirements are indeed not very high. It is more about laying a solid foundation, and the study of financial products is more about understanding their product structure and meaning, and does not require too complicated calculations.

At the graduate level, you will begin to learn more in-depth financial knowledge. At this time, you will learn more about financial derivatives. Many more complex financial derivatives analysis and leverage calculations have been added, including forwards, futures, swaps (swaps), options, asset securitization (ABS) and other types of products. The analysis is gradually increasing.

After-school homework also began to include relatively simple programming and financial model construction, which began to require the use of relatively simple statistical analysis software, such as STATA, Eviews, etc.

At the doctoral level, financial research and study are entirely focused on quantitative analysis. Compared with economics, finance is more about quantitative analysis, involving time series, panel data analysis, sample screening and data cleaning. The research content is closer to econometrics and statistics. Through the analysis of real Data backtesting and model construction of real-life problems are used to measure market changes in financial products.