2021
DOI: 10.1080/03461238.2021.1998923
|View full text |Cite
|
Sign up to set email alerts
|

Ruin probabilities for risk process in a regime-switching environment

Abstract: We study critical GI/G/1 queues under finite second moment assumptions. We show that the busy period distribution is regularly varying with index half. We also review previously known M/G/1/ and M/M/1 derivations, yielding exact asymptotics as well as a similar derivation for GI/M/1. The busy period asymptotics determine the growth rate of moments of the renewal process counting busy cycles. We further use this to demonstrate a BRAVO phenomenon (Balancing Reduces Asymptotic Variance of Outputs) for the work-ou… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 55 publications
(23 reference statements)
0
0
0
Order By: Relevance
“…Perhaps you will detect dependencies between several risks, so using the model the managers have to use also correlation matrix to show how the move on one factor impacts another one. [4][5][6]12] Step 4: Quantitative risk analysis During the quantitative risk analysis the individual risks are modeled together. Here modeling techniques as Monte Carlo simulation or decision trees are used.…”
Section: Introductionmentioning
confidence: 99%
“…Perhaps you will detect dependencies between several risks, so using the model the managers have to use also correlation matrix to show how the move on one factor impacts another one. [4][5][6]12] Step 4: Quantitative risk analysis During the quantitative risk analysis the individual risks are modeled together. Here modeling techniques as Monte Carlo simulation or decision trees are used.…”
Section: Introductionmentioning
confidence: 99%