FRM考試中，對(duì)于備考的考生來(lái)說(shuō)記憶公式是很重要的，因?yàn)橛写罅康挠?jì)算題是需要做的。下面是小編列舉的相關(guān)公式，希望對(duì)備考的你有所幫助！

Skewness and Kurtosis：

Skewness, or skew, refers to the extent to which a distribution is notsymmetrical. The skewness of a normal distribution is equal to zero.

? A positively skewed distribution is characterized by many outliers in the upper region, or right tail.

? A negatively skewed distribution has a disproportionately large amount of outliers that fall within its lower (left) tail.

Kurtosis is a measure of the degree to which a distribution is spread out compared to a normal distribution. Excess kurtosis = kurtosis-3.

Hypothesis Testing：

Null hypothesis (Ho ): hypothesis the researcher wants to reject; hypothesis that is actually tested; the basis for selection of the test statistics.

Alternative hypothesis (H A ): what is concluded if there is significant evidence to reject the null hypothesis.

Risk Data Aggregation：

Involves defining, gathering, and processing risk data for measuring performance against risk tolerance/appetite. Benefits include:

? Increases ability to anticipate problems

? Identifies routes to financial health.

? Improves resolvability in event of bank stress

? Increases efficiency, reduces chance of loss, and increases profitability

FRM考試的內(nèi)容就分享這么多，考生如果對(duì)FRM考試還有更多的疑問(wèn)，可以文章評(píng)論一起學(xué)習(xí)探討！另外，有2022年全年備考日歷，想要的私信或者評(píng)論哦！