MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING
Master's
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Format: | Theses and Dissertations |
Language: | English |
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2017
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/135853 |
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sg-nus-scholar.10635-1358532017-06-02T18:10:25Z MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING CHEN QINRAN STATISTICS & APPLIED PROBABILITY JASRA, AJAY Monte Carlo Method, Variance Reduction Method, Option Pricing, Black-Scholes Model, Time Discretization, Numerical Method Master's MASTER OF SCIENCE 2017-05-31T18:01:18Z 2017-05-31T18:01:18Z 2017-01-19 Thesis CHEN QINRAN (2017-01-19). MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/135853 NOT_IN_WOS en |
institution |
National University of Singapore |
building |
NUS Library |
country |
Singapore |
collection |
ScholarBank@NUS |
language |
English |
topic |
Monte Carlo Method, Variance Reduction Method, Option Pricing, Black-Scholes Model, Time Discretization, Numerical Method |
spellingShingle |
Monte Carlo Method, Variance Reduction Method, Option Pricing, Black-Scholes Model, Time Discretization, Numerical Method CHEN QINRAN MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
description |
Master's |
author2 |
STATISTICS & APPLIED PROBABILITY |
author_facet |
STATISTICS & APPLIED PROBABILITY CHEN QINRAN |
format |
Theses and Dissertations |
author |
CHEN QINRAN |
author_sort |
CHEN QINRAN |
title |
MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
title_short |
MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
title_full |
MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
title_fullStr |
MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
title_full_unstemmed |
MONTE CARLO AND VARIANCE REDUCTION METHODS FOR OPTION PRICING |
title_sort |
monte carlo and variance reduction methods for option pricing |
publishDate |
2017 |
url |
http://scholarbank.nus.edu.sg/handle/10635/135853 |
_version_ |
1681097743767961600 |