Question: Using daily and monthly returns data for the equal- and value-weighted CRSP market indexes (VWRETD and EWRETD), perform the following statistical analysis. Note that some
Using daily and monthly returns data for the equal- and value-weighted CRSP market indexes
(VWRETD and EWRETD), perform the following statistical analysis. Note that some stocks do
not have complete return histories, so be sure to use only valid observations for the entire 1962 to
2022 sample period. Also, for subsample analysis, split the available observations into equal
subsamples.
1. Compute the sample mean p, standard deviation o, and first-order autocorrelation
coefficient p(1) for daily simple returns over the entire sample period for the two
indices. Split the sample into four equal subperiods and compute the same statistics
each sub-period - are they stable over time?
2. Compute the sample mean p, standard deviation a, and first-order autocorrelation
coefficient p(1)dr continuously compounded daily returns over the entire sample
period, and for each of the four equal sub periods. Compare these to the results for
simple returns-
can continuous compounding change interences substantially?
3. Plot histograms of daily simple returns for VWRETD and EWRETD over the entire
sample period. Plot another histogram of the normal distribution with mean and
variance equal to the sample mean and variance of the returns plotted in the first
histograms, Do daily simple returns look approximately normal? Which looks closer
to normal: VWRETD or EWRETD? Perform the same analysis for continuously
compounded daily retums and compare these results to those for simple returns.
4. Using daily simple returns for the entire sample period, construct 994 confidence
intervals for u for the two series under consideration, Construct the 999 confidence
intervals in cach of the four subperiods-
- do they shift a great deal?
Compute the skewness, kurtosis, and studentized range of daily simple returns for the
two series over the entire sample period and in each of the 4 subperiods. Which of the
estimates are statistically dilferent from the corresponding statistics of a normal
random variable at the 5% level? For these two series, pertorm the same calculation
using monthly data. What do you conclude about the normality of these return series.
and why?
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