Multi-period guarantees are often embedded in life insurance contracts. In this paper we consider the problem of hedging these multi-period guarantees in the presence of transaction costs. We derive the hedging strategies for the cheapest hedge portfolio for a multi-period guarantee that with certainty makes the insurance company able to meet the obligations from the insurance policies it has issued. We find that by imposing transaction costs, the insurance company reduces the rebalancing of the hedge portfolio. The cost of establishing the hedge portfolio also increases as the transaction cost increases. For the multi-period guarantee there is a rather large rebalancing of the hedge portfolio as we go from one period to the next. By introd...
The purpose of the thesis is to analyse the management of various forms of risk that affect entire i...
We use mean–variance hedging in discrete time in order to value an insurance liability. The predicti...
This thesis makes use of some theoretical tools in finance, decision theory, machine learning, to im...
Multi-period guarantees are often embedded in life insurance contracts. In this paper we consider th...
Multi-period guarantees are often embedded in life insurance contracts. In this paper we consider th...
Multi-period guarantees are often embedded in life insurance con-tracts. In this paper we consider t...
In this paper, we are interested in hedging strategies which allow the insurer to reduce the risk to...
Based upon the Black-Scholes option pricing model, Schwartz developed an equilibrium pricing definit...
We consider the insurance companies ’ problem of optimal management of unit-linked life insurance co...
In this paper we study efficient hedging and its applications to the pricing of equitylinked life in...
This thesis aims at contributing to the study of the valuation of insurance liabilities and the mana...
We use mean-variance hedging in discrete time in order to value an insurance liability. The predicti...
International audiencePricing and hedging life insurance contracts with minimum guarantees are major...
AbstractThis paper studies the problem of pricing equity-linked life insurance contracts, and also f...
presented in this paper. The basic model involves Multi-Period decisions (portfolio optimization) an...
The purpose of the thesis is to analyse the management of various forms of risk that affect entire i...
We use mean–variance hedging in discrete time in order to value an insurance liability. The predicti...
This thesis makes use of some theoretical tools in finance, decision theory, machine learning, to im...
Multi-period guarantees are often embedded in life insurance contracts. In this paper we consider th...
Multi-period guarantees are often embedded in life insurance contracts. In this paper we consider th...
Multi-period guarantees are often embedded in life insurance con-tracts. In this paper we consider t...
In this paper, we are interested in hedging strategies which allow the insurer to reduce the risk to...
Based upon the Black-Scholes option pricing model, Schwartz developed an equilibrium pricing definit...
We consider the insurance companies ’ problem of optimal management of unit-linked life insurance co...
In this paper we study efficient hedging and its applications to the pricing of equitylinked life in...
This thesis aims at contributing to the study of the valuation of insurance liabilities and the mana...
We use mean-variance hedging in discrete time in order to value an insurance liability. The predicti...
International audiencePricing and hedging life insurance contracts with minimum guarantees are major...
AbstractThis paper studies the problem of pricing equity-linked life insurance contracts, and also f...
presented in this paper. The basic model involves Multi-Period decisions (portfolio optimization) an...
The purpose of the thesis is to analyse the management of various forms of risk that affect entire i...
We use mean–variance hedging in discrete time in order to value an insurance liability. The predicti...
This thesis makes use of some theoretical tools in finance, decision theory, machine learning, to im...