Suppose that the classical risk model applies. Let (U(t)) ≥o denote the surplus process, that is, t>0 U (t) = u + ct — S(t), where the aggregate claims process (S(t)) t≥o is a compound Poisson process with Poisson parameter λ = 4. Assume that the premium income rate per time unit is C = = 16, where the time-unit is a day, and that u = 50. Assume that the individual claims, denoted by Xi, i E N, are distributed according to a Gamma distribution X₂ ~I(2,4). Let (S(t)) to be the compound Poisson process from (c) and consider another compound Poisson process (Ŝ(t))+≥o whose jumps are given by a collec- tions of independent and identically distributed random variables {Y} which are independent of {X₂} but have the same distribution, that is, Y; ~ Gamma (2, 4). Moreover, assume that (S(t))+≥o and (Ŝ(t))+≥o jump at the same times; in other words, the underlying Poisson process that specifies the times of jumps is the same for the two processes. Prove that for all t≥ 0, we have =1 E[S(t)Ŝ(t)] = 4t² + t.
Suppose that the classical risk model applies. Let (U(t)) ≥o denote the surplus process, that is, t>0 U (t) = u + ct — S(t), where the aggregate claims process (S(t)) t≥o is a compound Poisson process with Poisson parameter λ = 4. Assume that the premium income rate per time unit is C = = 16, where the time-unit is a day, and that u = 50. Assume that the individual claims, denoted by Xi, i E N, are distributed according to a Gamma distribution X₂ ~I(2,4). Let (S(t)) to be the compound Poisson process from (c) and consider another compound Poisson process (Ŝ(t))+≥o whose jumps are given by a collec- tions of independent and identically distributed random variables {Y} which are independent of {X₂} but have the same distribution, that is, Y; ~ Gamma (2, 4). Moreover, assume that (S(t))+≥o and (Ŝ(t))+≥o jump at the same times; in other words, the underlying Poisson process that specifies the times of jumps is the same for the two processes. Prove that for all t≥ 0, we have =1 E[S(t)Ŝ(t)] = 4t² + t.
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
![Suppose that the classical risk model applies. Let (U(t)) to denote the
surplus process, that is,
U(t) = u + ct – S(t),
where the aggregate claims process (S(t))t≥o is a compound Poisson process with
Poisson parameter λ =4. Assume that the premium income rate per time unit is
= 16, where the time-unit is a day, and that u = 50. Assume that the individual
claims, denoted by X₁, i E N, are distributed according to a Gamma distribution
X₂ ~ I(2, 4).
Let (S(t)) to be the compound Poisson process from (c) and consider
another compound Poisson process (S(t))+zo whose jumps are given by a collec-
tions of independent and identically distributed random variables {Y} which are
independent of {X₂}₁ but have the same distribution, that is, Y; ~ Gamma (2, 4).
Moreover, assume that (S(t))+>o and (Ŝ(t))+>o jump at the same times; in other
words, the underlying Poisson process that specifies the times of jumps is the same
for the two processes. Prove that for all t≥ 0, we have
E[S(t)S(t)] = 4t² + t.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F69cce4ac-4bf6-4e6b-8636-bf160e045b58%2F5bf46d6e-4ff4-423d-826d-465dc997916f%2Fp7k501q_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose that the classical risk model applies. Let (U(t)) to denote the
surplus process, that is,
U(t) = u + ct – S(t),
where the aggregate claims process (S(t))t≥o is a compound Poisson process with
Poisson parameter λ =4. Assume that the premium income rate per time unit is
= 16, where the time-unit is a day, and that u = 50. Assume that the individual
claims, denoted by X₁, i E N, are distributed according to a Gamma distribution
X₂ ~ I(2, 4).
Let (S(t)) to be the compound Poisson process from (c) and consider
another compound Poisson process (S(t))+zo whose jumps are given by a collec-
tions of independent and identically distributed random variables {Y} which are
independent of {X₂}₁ but have the same distribution, that is, Y; ~ Gamma (2, 4).
Moreover, assume that (S(t))+>o and (Ŝ(t))+>o jump at the same times; in other
words, the underlying Poisson process that specifies the times of jumps is the same
for the two processes. Prove that for all t≥ 0, we have
E[S(t)S(t)] = 4t² + t.
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 3 steps with 16 images

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