However, in recent years, the qualitative analysis questions in FRM Level 1 examination have gradually increased, and the examination content has become more comprehensive and detailed. Because there are many calculation questions in FRM Level 1 exam, there are 100 multiple-choice questions in 4 hours, and each question takes only two or three minutes to answer on average, so the exam time is quite urgent. In addition, there are some questions in the FRM level 1 exam that are as long as one page, which is also a check on the reading speed of candidates.
We know that the outline of the FRM Level 1 exam will remain unchanged next year, so it can actually be understood that the focus of the FRM Level 1 exam will remain unchanged, so the quantitative questions should still be the focus of future investigation.
In the computer test, we will delay a lot of time when calculating. Many people are used to calculating on the test paper, but in the computer test, we can only press the calculator in front of the computer screen. Therefore, it is recommended that you practice according to the mode of computer examination when reviewing at ordinary times.
In the future, we should not worry about the difficulty of computer exams. Whether it is a computer test or a written test, the content of the test remains the same, but the form has changed. We still have to review it well.
Does FRM test require a high level of mathematics?
The FRM exam may require four levels of mathematical difficulty.
1 and FRM exams mainly involve the content of probability statistics. The specific requirements for mathematics are not high, so the requirements for candidates' mathematics are generally four, not more than three. Candidates can meet the requirements of FRM registration qualification for mathematics mainly by understanding the use of tools.
The number one is the most difficult, and the number four is the easiest. The number four includes calculus, linear algebra and probability theory.
3. The mathematics of 3.FRM exam is mainly the basic knowledge of probability theory, inference and estimation in statistics, and then the time series analysis model and Monte Carlo simulation.