Statistical Measures of Asset Returns Flashcards

(23 cards)

1
Q

What are the three main measures of central tendency?

A

Mean, median, and mode.

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2
Q

What does the mean represent in statistics?

A

The arithmetic average of a data set.

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3
Q

What is the median?

A

The middle value in a data set when values are sorted.
Odd: put in ascending order, then the middle value.
Even: “”, then average of the middle two values.

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4
Q

What is the mode?

A

The value that appears most frequently in a data set.
Unimodal = one value
bimodal = two values that appears more frequently
trimodal = …

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5
Q

What are common measures of dispersion?

A

Range, variance, standard deviation, and mean absolute deviation (MAD).

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6
Q

What is the range in a data set?

A

The difference between the highest and lowest values.

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7
Q

What is standard deviation?

A

A measure of the dispersion of values around the mean.

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8
Q

What does a high standard deviation indicate?

A

More variability or risk in returns.

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9
Q

Formula of Coefficient of variation

A

It’s a measure of risk per unit so, st.dev / return

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10
Q

Characteristics of a symetrical distribution

A

Mean = Median = Mode

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11
Q

What is skewness?

A

A measure of the asymmetry of a distribution. Created by outliers

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12
Q

What does positive skewness indicate?

A

A longer right tail; mean > median > mode. A few extremely high values pull the mean to the right. *MEAN IS THE ONLY ONE THAT ACTUALLY MOOVES. More sensible.

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13
Q

What does negative skewness indicate?

A

A longer left tail; mean < median < mode. A few extremely low values pull the mean to the left. *MEAN IS THE ONLY ONE THAT ACTUALLY MOOVES. More sensible.

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14
Q

What is kurtosis?

A

A measure of the peakedness or flatness of a distribution.

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15
Q

What is excess kurtosis?

A

Kurtosis minus 3, used to compare to a normal distribution. (normal distribution = 0 excess kurtosis)

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16
Q

What does positive excess kurtosis imply?

A

More extreme outliers than a normal distribution (leptokurtic). “Platykurtic” is less than the normal distribution.

17
Q

What is correlation?

A

A measure of the strength and direction of a linear relationship between two variables.

18
Q

What values can correlation coefficients take?

A

From -1 (perfect negative) to +1 (perfect positive).

19
Q

What is the implication of a correlation of zero?

A

No linear relationship between the two variables.

20
Q

What is spurious correlation

A

False causal associations made that are either the result of chance or a third variable that could be unkown.

21
Q

How is the sample mean used in investment analysis?

A

As an estimate of the expected return.

22
Q

Why is standard deviation important for portfolio management?

A

It helps measure total risk of an investment.

23
Q

How do skewness and kurtosis affect investment decision-making?

A

They indicate non-normality, affecting risk assessments and model assumptions.