In this paper we describe and compare different numerical schemes for the valuation of unit-linked contracts with and without surrender option. We implement two different algorithms based on the Least Squares Monte Carlo method (LSMC), an algorithm based on the Partial Differential Equation Approach (PDE) and another based on Binomial Trees. We introduce a unifying way to define and solve the valuation problem in order to include the case of contracts with premiums paid continuously over time, along with that of single premium contracts, usually considered in the literature. Finally, we analyse the impact on the fair premiums of the main parameters of the model
AbstractIn this paper we describe an algorithm based on the Least Squares Monte Carlo method to pric...
We perform a detailed theoretical study of the value of a class of participating policies with four ...
In this paper we describe an algorithm based on the Least Squares Monte Carlo method to price life i...
In this paper we extend the Least Squares Monte Carlo approach proposed by Longstaff and Schwartz fo...
posed by Longstaff and Schwartz for the valuation of American-style contingent-claims to the case of...
In this paper we extend the Least Squares Monte Carlo approach proposed by Longstaff and Schwartz (2...
We present a general framework for pricing life insurance contracts embedding a surrender option. Th...
2noIn this paper we deal with a variable annuity which provides guarantees at death and maturity fin...
We study the valuation of unit-linked life insurance contracts with surrender guarantees. Instead of...
We propose a model for pricing a unit-linked life insurance policy embedding a surrender option. We ...
Abstract We present a numerical approach to the pricing of guaranteed minimum maturity benefits embe...
In recent years, market-consistent valuation approaches have gained an increasing importance for ins...
This paper proposes several improvements to the least squares Monte Carlo (LSMC) option valuation me...
This article proposes a model to compute the fair premium for equity-linked contracts that include a...
In recent years, market-consistent valuation approaches have gained an increasing importance for ins...
AbstractIn this paper we describe an algorithm based on the Least Squares Monte Carlo method to pric...
We perform a detailed theoretical study of the value of a class of participating policies with four ...
In this paper we describe an algorithm based on the Least Squares Monte Carlo method to price life i...
In this paper we extend the Least Squares Monte Carlo approach proposed by Longstaff and Schwartz fo...
posed by Longstaff and Schwartz for the valuation of American-style contingent-claims to the case of...
In this paper we extend the Least Squares Monte Carlo approach proposed by Longstaff and Schwartz (2...
We present a general framework for pricing life insurance contracts embedding a surrender option. Th...
2noIn this paper we deal with a variable annuity which provides guarantees at death and maturity fin...
We study the valuation of unit-linked life insurance contracts with surrender guarantees. Instead of...
We propose a model for pricing a unit-linked life insurance policy embedding a surrender option. We ...
Abstract We present a numerical approach to the pricing of guaranteed minimum maturity benefits embe...
In recent years, market-consistent valuation approaches have gained an increasing importance for ins...
This paper proposes several improvements to the least squares Monte Carlo (LSMC) option valuation me...
This article proposes a model to compute the fair premium for equity-linked contracts that include a...
In recent years, market-consistent valuation approaches have gained an increasing importance for ins...
AbstractIn this paper we describe an algorithm based on the Least Squares Monte Carlo method to pric...
We perform a detailed theoretical study of the value of a class of participating policies with four ...
In this paper we describe an algorithm based on the Least Squares Monte Carlo method to price life i...