AbstractIn this paper we analyse the behaviour, near expiry, of the free boundary appearing in the pricing of multi-dimensional American options in a financial market driven by a general multi-dimensional Ito diffusion. In particular, we prove regularity for the pricing function up to the terminal state and we establish a sufficient criteria for the conclusion that the optimal exercise boundary approaches the terminal state faster than parabolically
In this paper we prove optimal interior regularity for solutions to the obstacle problem for a class...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...
AbstractIn this paper we analyse the behaviour, near expiry, of the free boundary appearing in the p...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
AbstractIn practical work with American put options, it is important to be able to know when to exer...
A major challenge in computational finance is the pricing of options that depend on a large number o...
International audienceThis paper is devoted to continuity results of the time derivative of the solu...
We study the barrier that gives the optimal time to exercise an American option written on a time-de...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
Given the marginal distribution information of the underlying asset price at two future times $T_1$ ...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
AbstractIn this paper, an effectively computable approximation of the price of an American option in...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
In this paper we prove optimal interior regularity for solutions to the obstacle problem for a class...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...
AbstractIn this paper we analyse the behaviour, near expiry, of the free boundary appearing in the p...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
AbstractIn practical work with American put options, it is important to be able to know when to exer...
A major challenge in computational finance is the pricing of options that depend on a large number o...
International audienceThis paper is devoted to continuity results of the time derivative of the solu...
We study the barrier that gives the optimal time to exercise an American option written on a time-de...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
Given the marginal distribution information of the underlying asset price at two future times $T_1$ ...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
AbstractIn this paper, an effectively computable approximation of the price of an American option in...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
We present a new model of stopping times and American options. In so doing, we solve the free-bounda...
In this paper we prove optimal interior regularity for solutions to the obstacle problem for a class...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...
We solve the finite-horizon, discounted, Mayer optimal stopping problem, with the gain function comi...