Current location - Training Enrollment Network - Mathematics courses - I am an undergraduate in law, and it is too difficult to take the exam. I want to take cfa or frm, but I didn't study it in Math University at all. Is there any hope?
I am an undergraduate in law, and it is too difficult to take the exam. I want to take cfa or frm, but I didn't study it in Math University at all. Is there any hope?
CFA exam does not require much mathematics, that is, the first half of calculus and two textbooks of probability theory. In fact, many calculations are very basic. We should clearly know that the focus of CFA inspection is calculation, not actuaries but analysts, and analysts naturally focus on judging the validity and practicability of data.

CFA doesn't take math proof questions. "Why?" It is not the test center of CFA, and the mathematical principle behind it may not be as simple as hitting the nail on the head. Too much digging is easy to distract energy, which is not conducive to concentrating on passing the exam. Moreover, some students have no basic knowledge of advanced mathematics, linear algebra, probability theory and mathematical statistics, ordinary differential equations, partial differential equations, functional analysis, integral transformation of complex variables and so on. Moreover, it is not easy to understand some key contents of the exam, there is absolutely no need to do too much in-depth research and exploration, and the leading knowledge needed to explain the principle is not necessarily mastered by these students.

But CFA exam has many complicated formulas to memorize.

For example, if you study the skewness and kurtosis of CFA level, you will find that the formula is very complicated. Actually, there's no need to recite it here. You just need to know the specific meaning of skewness and kurtosis. When you see that a division gives you a mean value and a median value, you should judge whether they are left or right when they are not equal.

For example, CFA secondary quantitative analysis, there are many formulas, but few need to be recited, because what we are looking at here is your evaluation and summary of an equation. An analyst has made a regression analysis, and you need to understand whether he has any errors or data screening errors. Another example is the valuation of bonds, which mainly focuses on grasping the characteristics of bond varieties and predicting the yield curve of bonds without too much formula memory.