Early Exercise Options: Upper Bounds

نویسندگان

  • LEIF B.G. ANDERSEN
  • MARK BROADIE
چکیده

In this article, we discuss how to generate upper bounds for American or Bermudan securities by Monte Carlo methods. These techniques provide a useful supplement to strategies that provide lower bound estimates (e.g., eqf13-006 and eqf13-025), allowing one to both generate valid confidence intervals for the true option price and to test the accuracy to any proposed approximation to the optimal exercise strategy. 1. Setup and Basic Results As usual, we work on a filtered probability space and consider a contingent claim with early exercise rights, i.e., the right to accelerate payment on the claim at will. Let the claim in question be characterized by an adapted, non-negative payout process U(t), payable to the option holder at a stopping time (or exercise policy) τ ≤ T , chosen by the holder. If early exercise can take place at any time in some interval, we say that the derivative security is an American option; if exercise can only take place on a discrete set of dates, we say that it is a Bermudan option. Let the allowed set of exercise dates larger than or equal to t be denoted D(t), and suppose that we are given at time 0 a particular exercise policy τ taking values in D(0), as well as a pricing numeraire N inducing a unique martingale measure Q . Let C (0) be the time 0 value of a derivative security that pays U(τ). Under technical conditions on U(t), we can write the value of the derivative security as (1) C (0) = E ( U(τ) N(τ) )

برای دانلود رایگان 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

Monte Carlo Simulation for American Options

This paper reviews the basic properties of American options and the difficulties of applying Monte Carlo valuation to American options. Asymptotic results by Keller and co-workers are described for the singularity in the early exercise boundary for time t near the final time T . Recent progress on application of Monte Carlo to American options is described including the following: Branching pro...

متن کامل

Improved Lower and Upper Bound Algorithms for Pricing American Options by Simulation

This paper introduces new variance reduction techniques and computational improvements to Monte Carlo methods for pricing American-style options. For simulation algorithms that compute lower bounds of American option values, we apply martingale control variates and introduce the local policy enhancement, which adopts a local simulation to improve the exercise policy. For duality-based upper bou...

متن کامل

Employee Reload Options: Pricing, Hedging, and Optimal Exercise

Reload options, call options whose exercise entitles the holder to new options, are compound options that are commonly issued by firms to employees. Although reload options typically involve exercise at many dates, the optimal exercise policy is simple (always exercise when in the money) and surprisingly robust to assumptions about the employee’s ability to transact in the underlying stock as w...

متن کامل

Valuation of Multiple Exercise Options with Energy Applications

We develop least squares Monte Carlo (LSM) and approximate linear programming (ALP) methods for valuing multiple exercise options, such as energy swing and storage options, using term structure models. Our numerical and theoretical investigation shows the superiority of a rarely used LSM variant for estimating lower and upper bounds on the option value over the standard LSM version and the ALP ...

متن کامل

Primal-Dual Simulation Algorithm for Pricing Multidimensional American Options

T paper describes a practical algorithm based on Monte Carlo simulation for the pricing of multidimensional American (i.e., continuously exercisable) and Bermudan (i.e., discretely exercisable) options. The method generates both lower and upper bounds for the Bermudan option price and hence gives valid confidence intervals for the true value. Lower bounds can be generated using any number of pr...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008