Quantitative Methods - 4.2 - Normal Distributions Flashcards

1
Q

what are the key properties of a normal distribution?

A
  • completely described by mean and variance
  • symmetric about the mean (skewness=0)
  • kurtosis=3
  • A linear combination of normally distributed random variables is also normally distributed (e.g. if asset returns are normally distributed then the portfolio returns are normally distributed)
  • posibilities of outcomes decrease further from the mean but tails go on forever
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2
Q

what is the difference between a univariate and multivariate distribution?

A
  • univariate: single random variable
  • multivariate: more than one random variable (to analyse we need the means, variances, asset weightings and correlation coefficients)
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3
Q

what is a confidence interval?

A

a range of values within which a random variable is expected to be a certain percentage of the time

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4
Q

what are the three confidence intervals we need to know?

A
  • The 90% confidence interval for X is e(x) − 1.65s to e(x) + 1.65s.
  • The 95% confidence interval for X is e(x) − 1.96s to e(x) + 1.96s.
  • The 99% confidence interval for X is e(x) − 2.58s to e(x) + 2.58s.

(s=standard deviations)

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5
Q

what is a standard normal distribution?

A

a normal distribution where mean=0 and standard deviation=1

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6
Q

what is a z-value/score?

A

the number of standard deviations a variable lies from the mean

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7
Q

what do the values in z-tables show?

A

the probabilities of observing a z-value that is less than a given value, z [i.e., P(Z < z)]

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8
Q

what is shortfall risk?

A

the probability that a portfolio return or value will be below a target return or value

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9
Q

what is Roy’s saftey-first ratio?

A

the number of standard deviations that you need to move before you hit the target expected return/value

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10
Q

in Roy’s saftey-first ratio, the more standard deviations you need to move before you hit the target/threshold, the…..?

A

the smaller the probability of breaching the threshold level i.e. the safest

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11
Q

what is the process of standardisation?

A

the process of converting an observed value for a random variable to its z-value

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12
Q

what is the formula for converting negative z-values on a positive z-values table?

A

F(–Z) = 1 − F(Z)

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