Question: Exercise 7.2 Consider the random variable (b) Use the Edgeworth expansion to try to approximate the distribution function of X. (c) Estimate the quantiles of

Exercise 7.2 Consider the random variable

X = 4 IM k=1 Z (2k - 1)'

(b) Use the Edgeworth expansion to try to approximate the distribution function of X.

(c) Estimate the quantiles of order 90%, 95%, and 99% using the Cornish-
Fisher expansion. Also plot the graph of the quantile function determined by the Cornish-Fisher expansion.
Is the approximation better than the one obtained by the Edgeworth expansion?

(d) Generate 100000 approximations of X by truncating the infinite sum to a sum over k ≤ 100, i.e., generate

image text in transcribed

(e) Using the simulated values of ˜X , estimate its distribution function and compare it to the one obtained in (b). Is the Edgeworth expansion precise enough? Also estimate the quantiles of order 90%, 95%, and 99%.
Compare them with the theoretical values. Finally, compare the empirical quantiles curve with the Cornish-Fisher expansion.

X = 4 IM k=1 Z (2k - 1)'

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Accounting For Financial Instruments Questions!