Description

FE-542
Problem 1 (10pt)
An urn contains three type A coins and two type B coin. When a type A coin is flipped, it comes up heads with probability 1/3, whereas a type B coin is flipped, it comes up heads with probability 2/3. A coin is randomly chosen from the urn and flipped. Given that the flip landed on heads, what is the probability that it was a type B coin?
Problem 2 (15pt)
In R create a report in pdf format using RMarkdown (or, if you choose to use Python instead, create a Jupyter notebook) to:
(i) Generate 100 observations from a normal distribution with mean 2 and variance 7.
(ii) Compute the sample mean, standard deviation, skewness and kurtosis (if excess kurtosis state that clearly).
(iii) Generate a Q-Q plot of the observations from (i) versus the standard normal distribution. Describe your plot in no more than 3 sentences.
Problem 3 (35pt)
In R create a report in pdf format using RMarkdown (or, if you choose to use Python instead, create a Jupyter notebook) to:
(iii) Compute the sample mean, standard deviation, skewness and kurtosis (if excess kurtosis state that clearly) of the daily log returns.
(iv) Perform the Jarque-Bera Normality test (with 5% significance level) for daily log returns and interpret your results. Compare your result a visualization from a Q-Q plot.
(v) Compute and plot the lag-1 through lag-10 autocorrelation of the daily log returns.
(vi) Test if the lag-5 autocorrelation is non-zero (with 5% significance level). Interpret your results.
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(vii) Perform the Ljung-Box test to test if the first 2, first 5, and first 8 lagged autocorrelations are non-zero (with 5% significance level). Interpret your results.
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