Research on ruin probability of risk model based on AR(1) series

10/29/2017
by   Wenhao Li, et al.
0

In this text, we establish the risk model based on AR(1) series and propose the basic model which has a dependent structure under intensity of claim number. Considering some properties of the risk model, we take advantage of newton iteration method to figure out the adjustment coefficient and estimate the exponential upper bound of ruin probability. This is significant to refine the research of ruin theory. As a result, our theory will help develop insurance industry stably.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
10/26/2017

Testing for long memory in panel random-coefficient AR(1) data

It is well-known that random-coefficient AR(1) process can have long mem...
research
10/12/2020

Model-based bias correction for short AR(1) and AR(2) processes

The class of autoregressive (AR) processes is extensively used to model ...
research
05/07/2018

Computing the Shattering Coefficient of Supervised Learning Algorithms

The Statistical Learning Theory (SLT) provides the theoretical guarantee...
research
08/10/2019

Autoregressive-Model-Based Methods for Online Time Series Prediction with Missing Values: an Experimental Evaluation

Time series prediction with missing values is an important problem of ti...
research
01/10/2021

Bayesian estimation of a competing risk model based on Weibull and exponential distributions under right censored data

In this paper we investigate the estimation of the unknown parameters of...
research
07/06/2021

Approximations to ultimate ruin probabilities with a Wienner process perturbation

In this paper, we adapt the classic Cramér-Lundberg collective risk theo...

Please sign up or login with your details

Forgot password? Click here to reset