Dividend problems in the dual risk model
| Autor: | Lourdes B. Afonso, Alfredo D. Egídio dos Reis, Rui M.R. Cardoso |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Statistics and Probability
Economics and Econometrics Actuarial science business.industry Number of Dividends Distribution (economics) Dividend policy Venture capital Discounted Dividends Poisson distribution Dual (category theory) Classical Risk Model Dividend Amounts symbols.namesake Cost of capital Capital (economics) Dividend Probabilities Economics symbols Econometrics Dividend Statistics Probability and Uncertainty Dual Risk Model business Ruin Probabilities |
| Popis: | We consider the compound Poisson dual risk model, dual to the well known classical risk model for insurance applications, where premiums are regarded as costs and claims are viewed as profits. The surplus can be interpreted as a venture capital like the capital of an economic activity involved in research and development. Like most authors, we consider an upper dividend barrier so that we model the gains of the capital and its return to the capital holders. By establishing a proper and crucial connection between the two models we show and explain clearly the dividends process dynamics for the dual risk model, properties for different random quantities involved as well as their relations. Using our innovative approach we derive some already known results and go further by finding several new ones. We study different ruin and dividend probabilities, such as the calculation of the probability of a dividend, distribution of the number of dividends, expected and amount of dividends as well as the time of getting a dividend. We obtain integro-differential equations for some of the above results and also Laplace transforms. From there we can get analytical results for cases where solutions and/or inversions are possible, in other cases we may only get numerical ones. We present examples under the two cases. info:eu-repo/semantics/publishedVersion |
| Databáze: | OpenAIRE |
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