Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Enhanced LSMC for Valuation of Options

In the world of finance, whether you are a hedger or a speculator, a risk-adverse or a risk-advocate, the use of financial instruments and derivatives will remain pertinent to providing new opportunities for mitigating risks as well as generating profit. Among these instruments are Options, which re...

Full description

Saved in:
Bibliographic Details
Main Author: Mekawy, Amr
Format: Thesis
Published: AUC Knowledge Fountain 2024
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the world of finance, whether you are a hedger or a speculator, a risk-adverse or a risk-advocate, the use of financial instruments and derivatives will remain pertinent to providing new opportunities for mitigating risks as well as generating profit. Among these instruments are Options, which regardless of their complexity, can be an extremely versatile tool to be utilized across a wide range of different markets. An option is a derivative that gives the holder the right, but not the obligation to buy or sell the underlying asset either before or at the maturity date of the contract. There are 2 main types of options the European option which allows the user to exercise only at the date of maturity, and the American option in which the user can exercise the option at any time before maturity. Pricing the option has always been a major mathematical problem in Finance, and the problem is mainly due to a typical optimal stopping problem (Lin & Almeida, 2021). Especially in American option where there is there is a possibility to either exercise or to hold the option. With the leap in technological tools and dynamic programming, different models were introduced to present the algorithms used to value the option price.