Results 261 to 270 of about 11,427,876 (285)

Some properties of the ruin function in the collective theory of risk

Scandinavian Actuarial Journal, 1948
Abstract It is well known that the chief aim of all theory of risk is to attain a sort of objective and somehow confirmed opinion of how and to which extent an insurance company ought to reinsure its risks in order that the probability of ruin by random fluctuations of the risk process shall become so small that it can be overlooked in practice.
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How Close Are the Individual and Collective Models in Risk Theory?

2012
The subject of this chapter is individual and collective models in insurance risk theory and how ideal probability metrics can be employed to calculate the distance between them.
Svetlozar T. Rachev, Lev B. Klebanov, Stoyan V. Stoyanov, Frank J. Fabozzi   +3 more
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A Review of Modern Collective Risk Theory with Dividend Strategies

SSRN Electronic Journal, 2008
In his seminal paper, Bruno de Finetti (1957) laid the foundations of what would become an increasingly popular branch of risk theory: the study of dividend strategies. The recent burst of research in this field encouraged the author to carry out a systematic literature review of modern collective risk theory with dividend strategies.
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Collective Approaches to Risk in Business: An Introduction to Plural Rationality Theory

North American Actuarial Journal, 2013
This article initiates a discussion regarding Plural Rationality Theory, which began to be used as a tool for understanding risk 40 years ago in the field of social anthropology. This theory is now widely applied and can provide a powerful paradigm to understand group behaviors.
David Ingram, Elijah Bush
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On some distributions in time connected with the collective theory of risk

Scandinavian Actuarial Journal, 1970
Abstract The title of this paper might as well have been “On the distribution in time of certain first passages in a Poisson process (in the proper sense) with nonzero mean and two barriers, one reflecting or absorbing and the other one absorbing”.
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Collective Dangerous Behavior: Theory and Evidence on Risk-Taking [PDF]

, 2013
It is commonly found that uncertainty helps discipline economic agents in strategic contexts. Using a stochastic variant of the Nash Demand Game, we show that the presence of uncertainty may have a dramatically opposite effect. Cautious (efficient) and dangerous (inefficient) equilibria may co-exist regardless of agents’ risk preferences.
Olivier Bochet, Jeremy Laurent-Lucchetti, Justin Leroux, Bernard Sinclair-Desgagné   +3 more
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A semi-convergent series with application to the collective theory of risk

Scandinavian Actuarial Journal, 1952
Abstract 1. The Bessel function solution of the differential equation can be numerically calculated by means of the defining power series when x is small. For greater values of x it is more convenient to use an asymptotic expansion. In a paper in this journal, 1950, p.
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On the probability of ruin in the collective risk theory for insurance enterprises with oly negative risk sums

Scandinavian Actuarial Journal, 1948
Abstract 1. The determination of the probability that an insurance company once in the future will be brought to ruin is a problem of great interest in insurance mathematics. If we know this probability, it does not only give us a possibility to estimate the stability of the insurance company, but we may also decide which precautions, in the form of f.
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Closed-loop supply chain on the theory of downside-risk based on third-party collecting

2011 Chinese Control and Decision Conference (CCDC), 2011
In order to study the impact of risk aversion on the supply chain, a closed loop supply chain model with a risk-neutral manufacturer, a third-party collecting and a downside-risk-averse retailer was established, and the supply chain wasn't coordinated on the theory of downside-risk control.
Cheng-dong Shi, Dun-xin Bian
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A note on transforms of renewal and other models applied to the collective risk theory

Scandinavian Actuarial Journal, 1971
Abstract 1. Renewal models applied to the risk theory In this note the interval between the (n—1)th, and the nth event in a random process—the interoccurrence time—will be denoted by τ n for n = 2, 3 ... , and the interval from the starting point of the process to the time point of the first event by τ1.
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