21 research outputs found
Optimal investment policy and dividend payment strategy in an insurance company
We consider in this paper the optimal dividend problem for an insurance
company whose uncontrolled reserve process evolves as a classical
Cram\'{e}r--Lundberg process. The firm has the option of investing part of the
surplus in a Black--Scholes financial market. The objective is to find a
strategy consisting of both investment and dividend payment policies which
maximizes the cumulative expected discounted dividend pay-outs until the time
of bankruptcy. We show that the optimal value function is the smallest
viscosity solution of the associated second-order integro-differential
Hamilton--Jacobi--Bellman equation. We study the regularity of the optimal
value function. We show that the optimal dividend payment strategy has a band
structure. We find a method to construct a candidate solution and obtain a
verification result to check optimality. Finally, we give an example where the
optimal dividend strategy is not barrier and the optimal value function is not
twice continuously differentiable.Comment: Published in at http://dx.doi.org/10.1214/09-AAP643 the Annals of
Applied Probability (http://www.imstat.org/aap/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Optimal dividend strategies for a catastrophe insurer
In this paper we study the problem of optimally paying out dividends from an insurance portfolio, when the criterion is to maximize the expected discounted dividends over the lifetime of the company and the portfolio contains claims due to natural catastrophes, modelled by a shot-noise Cox claim number process. The optimal value function of the resulting two-dimensional stochastic control problem is shown to be the smallest viscosity supersolution of a corresponding Hamilton-Jacobi-Bellman equation, and we prove that it can be uniformly approximated through a discretization of the space of the free surplus of the portfolio and the current claim intensity level. We implement the resulting numerical scheme to identify optimal dividend strategies for such a natural catastrophe insurer, and it is shown that the nature of the barrier and band strategies known from the classical models with constant Poisson claim intensity carry over in a certain way to this more general situation, leading to action and non-action regions for the dividend payments as a function of the current surplus and intensity level. We also discuss some interpretations in terms of upward potential for shareholders when including a catastrophe sector in the portfolio
Optimal dividend strategies for a catastrophe insurer
In this paper we study the problem of optimally paying out dividends from an
insurance portfolio, when the criterion is to maximize the expected discounted
dividends over the lifetime of the company and the portfolio contains claims
due to natural catastrophes, modelled by a shot-noise Cox claim number process.
The optimal value function of the resulting two-dimensional stochastic control
problem is shown to be the smallest viscosity supersolution of a corresponding
Hamilton-Jacobi-Bellman equation, and we prove that it can be uniformly
approximated through a discretization of the space of the free surplus of the
portfolio and the current claim intensity level. We implement the resulting
numerical scheme to identify optimal dividend strategies for such a natural
catastrophe insurer, and it is shown that the nature of the barrier and band
strategies known from the classical models with constant Poisson claim
intensity carry over in a certain way to this more general situation, leading
to action and non-action regions for the dividend payments as a function of the
current surplus and intensity level. We also discuss some interpretations in
terms of upward potential for shareholders when including a catastrophe sector
in the portfolio
Optimal strategies in a production-inventory control model
We consider a production-inventory control model with finite capacity and two
different production rates, assuming that the cumulative process of customer
demand is given by a compound Poisson process. It is possible at any time to
switch over from the different production rates but it is mandatory to
switch-off when the inventory process reaches the storage maximum capacity. We
consider holding, production, shortage penalty and switching costs. This model
was introduced by Doshi, Van Der Duyn Schouten and Talman in 1978. Our aim is
to minimize the expected discounted cumulative costs up to infinity over all
admissible switching strategies. We show that the optimal cost functions for
the different production rates satisfy the corresponding
Hamilton-Jacobi-Bellman system of equations in a viscosity sense and prove a
verification theorem. The way in which the optimal cost functions solve the
different variational inequalities gives the switching regions of the optimal
strategy, hence it is stationary in the sense that depends only on the current
production rate and inventory level. We define the notion of finite band
strategies and derive, using scale functions, the formulas for the different
costs of the band strategies with one or two bands. We also show that there are
examples where the switching strategy presented by Doshi et al. is not the
optimal strategy.Comment: 31 pages, 15 figure
Optimal Ratcheting of Dividends in a Brownian Risk Model
We study the problem of optimal dividend payout from a surplus process governed by Brownian motion with drift under the additional constraint of ratcheting,
i.e. the dividend rate can never decrease. We solve the resulting two-dimensional
optimal control problem, identifying the value function to be the unique viscosity
solution of the corresponding Hamilton-Jacobi-Bellman equation. For finitely many
admissible dividend rates we prove that threshold strategies are optimal, and for
any finite continuum of admissible dividend rates we establish the ε-optimality of
curve strategies. This work is a counterpart of [2], where the ratcheting problem was
studied for a compound Poisson surplus process with drift. In the present Brownian
setup, calculus of variation techniques allow to obtain a much more explicit analysis
and description of the optimal dividend strategies. We also give some numerical
illustrations of the optimality results
Optimal Reinsurance to Minimize the Probability of Drawdown under the Mean-Variance Premium Principle: Asymptotic Analysis
In this paper, we consider an optimal reinsurance problem to minimize the probability of drawdown
for the scaled Cram´er-Lundberg risk model when the reinsurance premium is computed
according to the mean-variance premium principle. We extend the work of Liang et al. [16] to
the case of minimizing the probability of drawdown. By using the comparison method and the
tool of adjustment coefficients, we show that the minimum probability of drawdown for the scaled
classical risk model converges to the minimum probability for its diffusion approximation, and the
rate of convergence is of order O(n−1/2). We further show that using the optimal strategy from
the diffusion approximation in the scaled classical risk model is O(n−1/2)-optimalEste documento es una versión del artÃculo publicado en SIAM Journal on Financial Mathematics, 14(1), 279–313Universidad Torcuato Di TellaHebei University of TechnologyDepartment of Mathematics, University of Michiga
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