2007•Journal of Jimei UniversityRequires access

Application of Importance Sampling Technique in Pricing Options

Wang Jin-an

Open publisher page 0 citations

Abstract

Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.It attempts to reduce variance by changing the probability measure from which paths are generated.This paper analyzes theoretically the application of importance sampling technique in pricing several kinds of options,and illustrates the method through examples.Meantime,it gives the algorithms which drive the Monte Carlo simulation to estimate the price of option.At last,some practical analysis is made by using importance sampling technique in Monte Carlo simulation for pricing Asian option with the help of EXCEL.

About this research paper

What this paper is about

Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.It attempts to reduce variance by changing the probability measure from which paths are generated.This paper analyzes theoretically the application of importance sampling technique in pricing several kinds of options,and illustrates the method through examples.Meantime,it gives the algorithms which drive the Monte Carlo simulation to estimate the price of option.At last,some practical analysis is made by using importance sampling technique in Monte Carlo simulation for pricing Asian option with the help of EXCEL.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.It attempts to reduce variance by changing the probability measure from which paths are generated.This paper analyzes theoretically the application of importance sampling technique in pricing several kinds of options,and illustrates the method through examples.Meantime,it gives the algorithms which drive the Monte Carlo simulation to estimate the price of option.At last,some practical analysis is made by using importance sampling technique in Monte Carlo simulation for pricing Asian option with the help of EXCEL.

Key concepts: Monte Carlo method, Variance reduction, Importance sampling, Monte Carlo methods for option pricing, Sampling (signal processing), Computer science, Variance (accounting), Rejection sampling

Related papers

Back to paper searchBrowse research topicsOriginal source
Application of Importance Sampling Technique in Pricing Options — Research Paper | ScholarLens