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Risk Adjustment for Health Insurance: Theory and Implications
Journal of Risk and Uncertainty, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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1986
Opening session.- Invited lecture : Risk Theory, a Tool for Management?.- Main lectures.- Economic Ideas in Risk Theory.- Simulation in Insurance.- Application of the Problem of Moments to Various Insurance Problems in Non-life.- Application of Martingales in Risk Theory.- Applications of Operations-Research Techniques in Insurance.- Recent Research on
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Opening session.- Invited lecture : Risk Theory, a Tool for Management?.- Main lectures.- Economic Ideas in Risk Theory.- Simulation in Insurance.- Application of the Problem of Moments to Various Insurance Problems in Non-life.- Application of Martingales in Risk Theory.- Applications of Operations-Research Techniques in Insurance.- Recent Research on
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2010
Chapter 22 presents basic formulas of risk theory in the context of insurance: 22.1. Collective Risk Model, 22.2. Aggregate Claim Distribution, 22.3. Copula, 22.4. Credibility Premium, 22.5. Ruin Probability, 22.6. Deductible, 22.7. Calculations for Bonus-Malus Systems.
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Chapter 22 presents basic formulas of risk theory in the context of insurance: 22.1. Collective Risk Model, 22.2. Aggregate Claim Distribution, 22.3. Copula, 22.4. Credibility Premium, 22.5. Ruin Probability, 22.6. Deductible, 22.7. Calculations for Bonus-Malus Systems.
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On the risk theory of motor insurance
Scandinavian Actuarial Journal, 1964Abstract In mathematical literature the word “space” is generally used in an abstract sense for the definition of a class of sets or for a domain with the components of a vector as coordinates. This concept should not be confused with the concrete geographical space which defines the actual location of events or individuals.
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A decision theoretic formulation of insurance risk theory
Scandinavian Actuarial Journal, 1972Abstract In a number of papers Borch has shown how certain insurance problems can be formulated using the concept of utility. (See Borch [3], [4], [5], [6], [7] and [8].) Borch's work is used as a building block in Part I of this report, which presents a Bayesian decision theoretic formulation of some of the main aspects of insurance risk theory.
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Theory and Validation of Replicating Portfolios in Insurance Risk Management
SSRN Electronic Journal, 2016The Solvency II framework challenges insurers to evaluate and manage their embedded balance sheet risks appropriately. However, insurances hold balance sheet items, for which closed-form solutions and market prices are not available. Pure Monte Carlo valuation requires nested simulations, which are too time-intensive.
Eric Beutner +2 more
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All-Risk Crop Insurance: Lessons from Theory and Experience
1994A producer is generally willing to use more resources, including borrowing more capital for production, if risk can be reduced. One of the major reasons for government involvement in agriculture is to ensure an abundant supply of food and fiber products at reasonable prices.
B. D. Wright, J. A. Hewitt
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Portfolio insurance, portfolio theory, market simulation, and risks of portfolio leverage
Annals of Operations ResearchzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jacobs, Bruce I., Levy, Kenneth N.
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A tentative application of tbe collective risk theory to crop insurance
Scandinavian Actuarial Journal, 1955Abstract A. Discussiou of Different Methods for Treating a Sum of VariahJes and Vectors Stochastic Processes with Several ...
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Public Insurance of Private Risks: Theory and Evidence from Agriculture
1993Government risk-bearing in the financial sector has been increasing rapidly in recent years, apparently without any overall economic rationale. Now that the appropriate government role in handling private-sector risks is being reassessed, it is worthwhile to examine both the long history of public involvement in agricultural risk-bearing and its ...
Brian D. Wright, Mark V. Pauly
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