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Featured researches published by Bjørn Sundt.


Insurance Mathematics & Economics | 1995

Ruin estimates under interest force

Bjørn Sundt; Jozef L. Teugels

Abstract In the present paper we discuss infinite time ruin probabilities in continuous time in a compound Poisson process with a constant premium rate and a constant interest rate. We discuss equations for the ruin probability as well as approximations and upper and lower bounds. Two special cases are treated in more detail: the case with zero initial reserve, and the case with exponential claim sizes.


Astin Bulletin | 1981

Further Results on Recursive Evaluation of Compound Distributions

Bjørn Sundt; William S. Jewell

A recent result by Panjer provides a recursive algorithm for the compound distribution of aggregate claims when the counting law belongs to a special recursive family. In the present paper we first give a characterization of this recursive family, then describe some generalizations of Panjers result.


Astin Bulletin | 1992

On some Extensions of Panjer's Class of Counting Distributions

Bjørn Sundt

In this paper we discuss SOlne properties of counting distributions whose 3 co discrete density {l n},,=0 satisfies a recurslon in the form


Astin Bulletin | 1999

ON MULTIVARIATE PANJER RECURSIONS

Bjørn Sundt

In the present paper we generalise Panjers (1981) recursion for compound distributions to a multivariate situation where each claim event generates a random vector. We discuss situations within insurance where such models could be applicable, and consider some special cases of the general algorithm. Finally we deduce from the algorithm a multivariate extension of De Prils (1985) recursion for convolutions.


Scandinavian Actuarial Journal | 1981

Recursive credibility estimation

Bjørn Sundt

Abstract The paper treats models in which credibility estimators may be updated recursively as time passes. It is shown that when updating the credibility estimators, we get their estimation errors updated as a by-product. The models treated include cases with an unknown underlying random parameter that develops over time.


Insurance Mathematics & Economics | 1988

Credibility estimators with geometric weights

Bjørn Sundt

Abstract In the present paper we study credibility estimators with geometric weights in the framework of experience rating in motor insurance. We discuss how to find optimal weights. The estimators are compared with the traditional credibility estimators and shown to be more robust against a certain type of violations against the model assumptions. We also discuss advantages and disadvantages relative to ordinary bonus—malus systems.


Scandinavian Actuarial Journal | 1989

On bonus systems with credibility scales

Vibeke Gilde; Bjørn Sundt

Abstract In the present paper we study bonus systems with linear premium scales in a set-up presented in a paper by Borgan, Hoem & Norberg. Some numerical examples are given.


Scandinavian Actuarial Journal | 1983

Finite credibility formulae in evolutionary models

Bjørn Sundt

Abstract In the present paper we present a recursive procedure for updating of credibility estimators for a class of evolutionary models incorporating the class studied by Kremer (1982). Differing from Kremers procedures the present procedures are based on observations from only a finite past. In the last section the procedure is compared to an approach based on the Kalman filter.


Insurance Mathematics & Economics | 2002

Recursive evaluation of aggregate claims distributions

Bjørn Sundt

Abstract In this paper, we give a survey of recursive methods presented in the actuarial literature for exact and approximate evaluation of univariate and multivariate aggregate claims distributions. For the approximations, we present error bounds.


Scandinavian Actuarial Journal | 1979

A hierarchical credibility regression model

Bjørn Sundt

Abstract The paper develops a hierarchical credibility regression model with random parameters on two levels. The common credibility regression models appear as special cases by assuming one of the parameter levels degenerate. By specializing into another direction we obtain Jewells (1975c) hierarchical model as a special case.

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Jan Dhaene

Katholieke Universiteit Leuven

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Jozef L. Teugels

Katholieke Universiteit Leuven

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Ragnar Norberg

London School of Economics and Political Science

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