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We aim to assess the impact of a pandemic data point on the calibration of a stochastic multi-population mortality projection model and its resulting projections for future mortality rates. Throughout the paper, we put focus on the Li and Lee mortality model, which has become a standard for...
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In risk analysis, a global fit that appropriately captures the body and the tail of the distribution of losses is essential. Modeling the whole range of the losses using a standard distribution is usually very hard and often impossible due to the specific characteristics of the body and the tail...
Persistent link: https://www.econbiz.de/10012967369
Life insurers, pension funds, health care providers and social security institutions face increasing expenses due to continuing improvements of mortality rates. The actuarial and demographic literature has introduced a myriad of (deterministic and stochastic) models to forecast mortality rates...
Persistent link: https://www.econbiz.de/10012971785
Multivariate mixtures of Erlang distributions form a versatile, yet analytically tractable, class of distributions making them suitable for multivariate density estimation. We present a flexible and effective fitting procedure for multivariate mixtures of Erlangs, which iteratively uses the EM...
Persistent link: https://www.econbiz.de/10012972313
This paper explores the use of claim specific characteristics, so-called claim markers, for loss reserving with individual claims. Starting from the approach of Rosenlund (2012) we develop a stochastic Reserve by Detailed Conditioning ('RDC') method which is applicable to a micro-level data set...
Persistent link: https://www.econbiz.de/10012973007
In this paper, the individual claim reserving model proposed by Pigeon et al. (2013) is extended to include paid and incurred data. Analytic expressions are derived for the expected ultimate losses, given observed development patterns. The usefulness of this new model is illustrated using a...
Persistent link: https://www.econbiz.de/10012973458
Most mortality models proposed in recent literature rely on the standard ARIMA-framework (in particular: a random walk with drift) to project mortality rates. As a result the projections are highly sensitive to the calibration period. We apply a modelling strategy for the time-dependent...
Persistent link: https://www.econbiz.de/10012973459
In this addendum to Verbelen et al. (2015), we present several additional examples of the calibration procedure for fitting multivariate mixtures of Erlangs to censored and truncated data.The paper "Multivariate Mixtures of Erlangs for Density Estimation Under Censoring and Truncation" to which...
Persistent link: https://www.econbiz.de/10013024580