2021
DOI: 10.3390/math9090982
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Estimating Ruin Probability in an Insurance Risk Model with Stochastic Premium Income Based on the CFS Method

Abstract: This paper considers the estimation of ruin probability in an insurance risk model with stochastic premium income. We first show that the ruin probability can be approximated by the complex Fourier series (CFS) expansion method. Then, we construct a nonparametric estimator of the ruin probability and analyze its convergence. Numerical examples are also provided to show the efficiency of our method when the sample size is finite.

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Cited by 4 publications
(3 citation statements)
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“…Numerous scholars have analysed the mathematical probability model and explored the characteristic changes in bankruptcy models under diferent conditions [29][30][31]. In addition, several researchers have tried applying the ruin model to specifc insurance practices and have used mathematical methods to analyse insurance risks [32][33][34][35][36][37]. Insurance ruin theory-as the basic theory of insurance actuarial science, particularly insurance risk analysis-has broad applicability in actuarial practice.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous scholars have analysed the mathematical probability model and explored the characteristic changes in bankruptcy models under diferent conditions [29][30][31]. In addition, several researchers have tried applying the ruin model to specifc insurance practices and have used mathematical methods to analyse insurance risks [32][33][34][35][36][37]. Insurance ruin theory-as the basic theory of insurance actuarial science, particularly insurance risk analysis-has broad applicability in actuarial practice.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Peng and Wang [6] discussed a compound risk model without diffusion in two different assets. Huang et al [21] considered the estimation of ruin probability in an insurance risk model with stochastic premium income. Zhu and Li [22] studied the time-consistent optimal investment and reinsurance problem for mean-variance insurers when considering both stochastic interest rate and stochastic volatility in the financial market.…”
Section: Literature Reviewmentioning
confidence: 99%
“…See, for example, Croux and Veraverbeke [1], Frees [2], Mnatsakanov et al [3], Pitts [4], Politis [5], and Veraverbeke [6]. In recent years, many nice results have been obtained by actuarial scholars, such as Huang et al [7], Li et al [8], You et al [9], Zhang and Yang [10], Zhang and Yang [11], Zhang [12], and Zhang and Yang [13]. As an extension of ruin probability, the Gerber-Shiu function has been introduced and studied for its statistical properties.…”
Section: Introductionmentioning
confidence: 99%