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Modeling dependent risks with multivariate Erlang mixtures
SCK Lee, XS Lin - ASTIN Bulletin: The Journal of the IAA, 2012 - cambridge.org
In this paper, we introduce a class of multivariate Erlang mixtures and present its desirable
properties. We show that a multivariate Erlang mixture could be an ideal multivariate …
properties. We show that a multivariate Erlang mixture could be an ideal multivariate …
Some results on the CTE-based capital allocation rule
Tasche [Tasche, D., 1999. Risk contributions and performance measurement. Working
paper, Technische Universität München] introduces a capital allocation principle where the …
paper, Technische Universität München] introduces a capital allocation principle where the …
On a multivariate Pareto distribution
A multivariate distribution possessing arbitrarily parameterized Pareto margins is formulated
and studied. The distribution is believed to allow for an adequate modeling of dependent …
and studied. The distribution is believed to allow for an adequate modeling of dependent …
Multiplicative background risk models: Setting a course for the idiosyncratic risk factors distributed phase-type
Multiplicative background risk models in which the idiosyncratic risk factors are assumed to
be distributed exponentially, and the systemic risk factor has an arbitrary distribution on the …
be distributed exponentially, and the systemic risk factor has an arbitrary distribution on the …
A form of multivariate Pareto distribution with applications to financial risk measurement
A new multivariate distribution possessing arbitrarily parametrized and positively dependent
univariate Pareto margins is introduced. Unlike the probability law of Asimit et al.(2010), the …
univariate Pareto margins is introduced. Unlike the probability law of Asimit et al.(2010), the …
Tail risk measures and risk allocation for the class of multivariate normal mean–variance mixture distributions
JHT Kim, SY Kim - Insurance: Mathematics and Economics, 2019 - Elsevier
Abstract The Conditional Tail Expectation (CTE), also known as the Expected Shortfall and
Tail-VaR, has received much attention as a preferred risk measure in finance and insurance …
Tail-VaR, has received much attention as a preferred risk measure in finance and insurance …
On some properties of a class of multivariate Erlang mixtures with insurance applications
We discuss some properties of a class of multivariate mixed Erlang distributions with
different scale parameters and describes various distributional properties related to …
different scale parameters and describes various distributional properties related to …
Risk aggregation and capital allocation using a new generalized Archimedean copula
In this paper, we address risk aggregation and capital allocation problems in the presence of
dependence between risks. The dependence structure is defined by a mixed Bernstein …
dependence between risks. The dependence structure is defined by a mixed Bernstein …
Tweedie multivariate semi-parametric credibility with the exchangeable correlation
H Jeong - Insurance: Mathematics and Economics, 2024 - Elsevier
This article proposes a framework for determining credibility premiums for multiple
coverages in a compound risk model with Tweedie distribution. The framework builds upon …
coverages in a compound risk model with Tweedie distribution. The framework builds upon …
Size-biased risk measures of compound sums
M Denuit - North American Actuarial Journal, 2020 - Taylor & Francis
The size-biased, or length-biased transform is known to be particularly useful in insurance
risk measurement. The case of continuous losses has been extensively considered in the …
risk measurement. The case of continuous losses has been extensively considered in the …