Finance is a discipline differentiated from economics, focusing on the judgment of asset value, market rules, derivatives and so on.
Some theoretical finance courses (such as management, market operation, etc. ) lower requirements for mathematics, more theoretical and conceptual things;
Financial courses of partial finance (such as accounting and financial statement analysis) only need simple mathematical operations, and more need to remember their logical concepts;
But most financial courses (including financial theory, financial derivatives, financial mathematics, quantitative analysis, etc. ) you still need a high degree of mathematics.
Many universities have also added financial engineering and financial mathematics courses to their financial courses, which require strong modeling ability, mathematical analysis ability and quantitative operation ability. Including linear Lagrangian equation analysis, autoregressive model analysis and so on. It needs not only derivation and verification, but also expansion and simulation. We should also deeply understand the meaning behind the model formula.
In addition, it is necessary to have higher logical ability and abstract ability, which will be the core content of future finance, and the high requirement for mathematics level is self-evident.
With the improvement of academic qualifications, the requirements for mathematics are higher.
In the undergraduate study stage, finance is more about the study of basic theoretical knowledge, a large part of which is about commercial law, professional ethics, accounting, financial statements, financial products and so on. Mathematics requirements are really not high. More is to lay a solid foundation, and the learning of financial products is more about understanding the structure and significance of its products, without too complicated calculation.
In the postgraduate stage, I will start to learn more financial knowledge, and then I will learn more financial derivatives. Many complicated financial derivatives analysis and leverage calculation have been added, including the analysis of products such as forward, futures, swaps, options and asset securitization (ABS).
After-school homework also began to add relatively simple programming and financial model construction, which is the beginning of using relatively simple statistical analysis software, such as STATA, Eviews and so on.
In the doctoral stage, the research and study of finance focuses entirely on quantitative analysis. Compared with economics, finance involves more quantitative analysis, time series, panel data analysis, sample screening and data cleaning. The research content is close to the content of econometrics and statistics, and the market changes of financial products can be measured by back-testing real data and modeling real problems.