FRM考試中，對于備考的考生來說記憶公式是很重要的，因為有大量的計算題是需要做的。下面是小編列舉的相關公式，希望對備考的你有所幫助！

Skewness and Kurtosis：

Skewness, or skew, refers to the extent to which a distribution is not symmetrical. 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：【資料下載】點擊下載FRM二級思維導圖PDF版

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

希望以上的內容對你有所幫助！如果您想了解更多FRM考試相關問題，添加融躍FRM老師微信（rongyuejiaoyu），給您專業的指導幫助！