Numerical methods for financial engineering
The pricing of options is part of core content of financial engineering. Black-Scholes-Merton model is the most classic model to solve option pricing with underlying assets of stocks. Finite difference method is widely used to solve partial differential equations. There are three goals of this pape...
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sg-ntu-dr.10356-1490322023-07-07T17:00:49Z Numerical methods for financial engineering Wu, Guan Tan Eng Leong School of Electrical and Electronic Engineering EELTan@ntu.edu.sg Business::Finance::Options Engineering::Electrical and electronic engineering The pricing of options is part of core content of financial engineering. Black-Scholes-Merton model is the most classic model to solve option pricing with underlying assets of stocks. Finite difference method is widely used to solve partial differential equations. There are three goals of this paper. The first goal is to derive mathematical expressions of different finite difference methods solving Black-Scholes-Merton model’s partial differential equation. The second goal is to implement these methods with MATLAB solving European options and calculating the numerical results to pave the way for the comparison of each method in accuracy and convergency. Last goal is to extend the program to American and Bermudan options and concludes their results and differences from European options. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-05-25T01:03:13Z 2021-05-25T01:03:13Z 2021 Final Year Project (FYP) Wu, G. (2021). Numerical methods for financial engineering. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149032 https://hdl.handle.net/10356/149032 en A3244-201 application/pdf Nanyang Technological University |
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Business::Finance::Options Engineering::Electrical and electronic engineering Wu, Guan Numerical methods for financial engineering |
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The pricing of options is part of core content of financial engineering. Black-Scholes-Merton model is the most classic model to solve option pricing with underlying assets of stocks. Finite difference method is widely used to solve partial differential equations.
There are three goals of this paper. The first goal is to derive mathematical expressions of different finite difference methods solving Black-Scholes-Merton model’s partial differential equation. The second goal is to implement these methods with MATLAB solving European options and calculating the numerical results to pave the way for the comparison of each method in accuracy and convergency. Last goal is to extend the program to American and Bermudan options and concludes their results and differences from European options. |
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Tan Eng Leong |
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Tan Eng Leong Wu, Guan |
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Final Year Project |
author |
Wu, Guan |
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Wu, Guan |
title |
Numerical methods for financial engineering |
title_short |
Numerical methods for financial engineering |
title_full |
Numerical methods for financial engineering |
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Numerical methods for financial engineering |
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Numerical methods for financial engineering |
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numerical methods for financial engineering |
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Nanyang Technological University |
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2021 |
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https://hdl.handle.net/10356/149032 |
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