Quantitative Methods - 4.2 - Normal Distributions Flashcards
what are the key properties of a normal distribution?
- 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
what is the difference between a univariate and multivariate distribution?
- univariate: single random variable
- multivariate: more than one random variable (to analyse we need the means, variances, asset weightings and correlation coefficients)
what is a confidence interval?
a range of values within which a random variable is expected to be a certain percentage of the time
what are the three confidence intervals we need to know?
- 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)
what is a standard normal distribution?
a normal distribution where mean=0 and standard deviation=1
what is a z-value/score?
the number of standard deviations a variable lies from the mean
what do the values in z-tables show?
the probabilities of observing a z-value that is less than a given value, z [i.e., P(Z < z)]
what is shortfall risk?
the probability that a portfolio return or value will be below a target return or value
what is Roy’s saftey-first ratio?
the number of standard deviations that you need to move before you hit the target expected return/value
in Roy’s saftey-first ratio, the more standard deviations you need to move before you hit the target/threshold, the…..?
the smaller the probability of breaching the threshold level i.e. the safest
what is the process of standardisation?
the process of converting an observed value for a random variable to its z-value
what is the formula for converting negative z-values on a positive z-values table?
F(–Z) = 1 − F(Z)