Mathematics requirements for financial engineering majors

If you only look at it from the perspective of the exam, finance is a test of three or four, which means that the requirements for mathematics are not very high. However, from the research point of view, the role of mathematics in finance is getting bigger and bigger, such as financial engineering, and the requirements for mathematics in investment majors are quite high. Nowadays, financial theories are also more and more proved by mathematical methods.

In other words, if you really want to do research, it is very important to learn mathematics well!

Very high, people who have not studied real function or measure theory try not to report it.

Calculus, Linear Algebra, Probability Theory and Mathematical Statistics, etc.

Undergraduate Admission Requirements.

Baccalaureate (High School Leaving Examination Scores) and College Entrance Examination Scores (05 Average Admission Reference Score;

The minimum language score is 600 in the old TOEFL and writing.

New TOEFL. 100 points, with a minimum of 22 points in writing), or.

IELTS. The individual items are not less than.

Non-recent graduates should provide college entrance examination results before admission.

You also have to take the school's selection test (

You will need to pass a written test and an interview. Among the reading comprehension, grammar and writing sections of the written test, the writing score has the highest weight, accounting for at least half of the score. How many students are required to be able to write very rigorous essays, even for students studying mathematics, writing academic reports is inseparable from writing.

If you have good grades, you will adapt quickly, but the school is more manageable.

The difficulty will definitely increase, and the Department of Finance has high requirements for mathematics and needs to have good mathematical skills.

In general, finance still has relatively high requirements for students' mathematical level, but compared with pure mathematics, finance pays more attention to the combination with reality and explains the intrinsic meaning of investment and financial products through mathematics.

Theoretical finance courses (such as management, market operation, etc.) have lower requirements for mathematics and more theoretical and conceptual things.

Most finance courses (including financial theory, financial derivatives, financial mathematics, quantitative analysis, etc.) require a high degree of mathematics.

Requirements for Mathematics at Different Learning Stages:

In the undergraduate study stage, finance is more about the study of theoretical basics, a large part of which is business law, industry ethics, accounting, financial statements, financial products, etc. The math is really not too demanding. It is more about laying a solid foundation, and the learning of financial products is more about understanding the structure and meaning of the product, and does not require too complex calculations.

At the graduate level, you will begin to learn more in-depth knowledge of finance, and the study of financial derivatives will be more in-depth at this time. The analysis of many more complex financial derivatives and leverage calculation have been added, including the analysis of various products such as forwards, swaps (swaps), options, and assetization (ABS).

In the after-class assignments, I also began to add 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, the research study of finance is completely focused on quantitative analysis. Compared with economics, finance is more involved in quantitative analysis, time series, panel data analysis, sample screening and data cleaning, etc., and the research content is relatively close to the content of econometrics and statistics, through the backtesting of real data and the construction of models for real problems, to measure the market changes of financial products.

Is financial engineering mathematically demanding, and is introduced as follows:

Financial engineering requires that mathematics is particularly good, and programming and measurement are used in nuclear sales. Generally, it is almost the same if you only go to undergraduate, and it is best to study Rong graduate school and go abroad or financial engineering.

The concept of financial engineering is as follows:

1. The creation of new financial instruments, such as the creation of the first zero-coupon bonds, the first swap contracts, etc.

2. The development and application of existing tools, such as the application of first-class trading to new fields, the development of many options and swaps, etc.

3. Use the existing financial instruments and means to combine and decompose new financial products, such as forward swaps, options, and the construction of new financial structures.

Financial engineering, including the design, development and implementation of innovative financial instruments and instruments, as well as creative solutions to financial problems. There are two types of concepts in financial engineering: narrow and broad. Financial engineering in the narrow sense mainly refers to the use of advanced mathematical and communication tools to carry out different forms of combinatorial decomposition on the basis of various existing basic financial products.

In order to design new financial products that meet the needs of customers and have specific characteristics. Financial engineering in a broad sense refers to the development of all technologies that use engineering means to solve financial problems, which includes not only financial product design, but also financial product pricing, trading strategy design, financial risk management and other aspects. This paper adopts a broad concept of financial engineering.

Employment Prospects for Financial Engineering Yun Shi Xun:

The financial engineering major mainly uses computers to implement mathematical models to solve finance-related problems. Therefore, financial engineering is different from MBA and MSP in that it mainly trains technical workers in the financial industry, also known as financial engineers - the positions are mainly concentrated in investment banking, hedging**, commercial banks and financial institutions.

The main work is also very different according to the position, the more representative ones include pricing, model validation, research, develop and risk management, which are responsible for the establishment and application of derivatives pricing models, model validation, model research, program development and risk management.

Financial engineering requires the use of advanced mathematics, probability theory, mathematical statistics, and then processes.

Advanced Mathematics: refers to a part of mathematics that is more complex in terms of objects and methods than elementary mathematics.

Probability theory: It is a branch of mathematics that studies the quantitative law of random phenomena, and random phenomena are fragmented relative to the decisive phenomena, and the phenomena that inevitably have a certain result under certain conditions are called decisive phenomena.

Mathematical Statistics: An important course in the Department of Mathematics, with the development of science and probability theory to study the regularity of random phenomena, the results of probability theory are applied to analyze and study statistical data in more depth, and the internal regularity of the phenomenon is discovered through the observation of the frequency of certain phenomena, and a certain degree of accuracy is made to judge and matrix theory.