Comparison of distribution tails). Consider the distribution of losses owned by insurance companies. Loss for the coming year is predicted to have a mean of 100 with a standard deviation of 223.607. If it is assumed that the loss distribution is Normal, Pareto and Gamma (with mean and variance above), determine VaR for each loss distribution with a safety level of 90%; 99% and 99.9%. Notes: From the mean and standard deviation as well as the k-th moment, the parameter values for each distribution (in millions) will be obtained. Furthermore, by using the inverse FDK, the VaR value will be obtained.
Comparison of distribution tails). Consider the distribution of losses owned by insurance companies. Loss for the coming year is predicted to have a mean of 100 with a standard deviation of 223.607. If it is assumed that the loss distribution is Normal, Pareto and Gamma (with mean and variance above), determine VaR for each loss distribution with a safety level of 90%; 99% and 99.9%. Notes: From the mean and standard deviation as well as the k-th moment, the parameter values for each distribution (in millions) will be obtained. Furthermore, by using the inverse FDK, the VaR value will be obtained.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please solve with the step max in 60-90 minutes the chapter actuarial
Comparison of distribution tails). Consider the distribution of losses owned by insurance companies. Loss for the coming year is predicted to have a mean of 100 with a standard deviation of 223.607.
If it is assumed that the loss distribution is Normal, Pareto and Gamma (with mean and variance above), determine VaR for each loss distribution with a safety level of 90%; 99% and 99.9%.
Notes:
From the mean and standard deviation as well as the k-th moment, the parameter values for each distribution (in millions) will be obtained. Furthermore, by using the inverse FDK, the VaR value will be obtained.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 6 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman