Finite Optimal Stopping Problems: The Seller’s Perspective

نویسندگان

  • Mehdi Hemmati
  • J. Cole Smith
چکیده

We consider a version of an optimal stopping problem, in which a customer is presented with a finite set of items, one by one. The customer is aware of the number of items in the finite set and the minimum and maximum possible value of each item, and must purchase exactly one item. When an item is presented to the customer, she or he observes its value, and determines whether to purchase the item or to permanently dismiss the item. The customer’s objective is to maximize the value of the purchased item. In this paper, we consider the problem from the perspective of the seller, who wishes to maximize profit associated with the sold item. Hence, the seller seeks an optimal sequence of items to sell, given that the customer acts according to some near-optimal decision-making rules. Our paper takes the perspective that the customer may not act optimally due to imperfect decision-making strategies and/or to the seller’s uncertainty in the items’ values to the customer. We consider max-min and max-expectation objectives when customer behavior is not completely predictable, and discuss the problem tractability in these cases.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Finite Horizon Optimal Stopping of Time-Discontinuous Functionals with Applications to Impulse Control with Delay

We study finite horizon optimal stopping problems for continuous time Feller-Markov processes. The functional depends on time, state and external parameters, and may exhibit discontinuities with respect to the time-variable. Both left and right-hand discontinuities are considered. We investigate the dependence of the value function on the parameters, initial state of the process and on the stop...

متن کامل

On Threshold Strategies and the Smooth-fit Principle for Optimal Stopping Problems

In this paper we investigate sufficient conditions that ensure the optimality of threshold strategies for optimal stopping problems with finite or perpetual maturities. Our result is based on a local-time argument that enables us to give an alternative proof of the smoothfit principle. Moreover, we present a class of optimal stopping problems for which the propagation of convexity fails.

متن کامل

Finite Difference Approximation for Stochastic Optimal Stopping Problems with Delays

This paper considers the computational issue of the optimal stopping problem for the stochastic functional differential equation treated in [4]. The finite difference method developed by Barles and Souganidis [2] is used to obtain a numerical approximation for the viscosity solution of the infinite dimensional Hamilton-Jacobi-Bellman variational inequality (HJBVI) associated with the optimal st...

متن کامل

Numerical Methods for Stochastic Optimal Stopping Problems with Delays

This paper considers the computational issue of the optimal stopping problem for the stochastic functional differential equation treated in [4]. The finite difference method developed by Barles and Souganidis [2] is used to obtain a numerical approximation for the viscosity solution of the infinite dimensional Hamilton-Jacobi-Bellman variational inequality (HJBVI) associated with the optimal st...

متن کامل

On randomized stopping

It is known that optimal stopping problems for controlled diffusion processes can be transformed into optimal control problems by using the method of randomized stopping (see [2] and [8]). Since only a few optimal stopping problems can be solved analytically (see [13]), one has to resort to numerical approximations of the solution. In such cases, one would like to know the rate of convergence o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016