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Introduction to Computational Methods of Mathematical Finance
This course is going to provide you with valuable information about the different algorithmic and numerical methods which are implemented for pricing of financial derivatives and hedging. It will teach you about the mathematical theorems which will help in understanding the financial markets. It includes concepts like Monte Carlo simulation techniques, Fourier transforms, exact simulation, numerical integration, discretization, finite difference schemes, and partial differential equations.
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Here are some other courses related to mathematical finance and our Boston University assignment help service will assist you in getting homework assistance from online tutors on the following.
- MF 702 Fundamentals of Finance
- MF 921 Topics in Dynamic Asset Pricing
- MF 703 Programming for Mathematical Finance
- MF 922 Advanced Mathematical Finance
- MF 793 Statistics for Mathematical Finance
- MF 772 Credit Risk
- FE 918 Doctoral Seminar in Finance
- MF 795 Stochastic Methods of Asset Pricing
- MF 793 Statistics for Mathematical Finance
- MF 728 Fixed Income Securities
- MF 930 Advanced Corporate Finance
- MF 796 Computational Methods of Mathematical Finance
- MF 794 Methods of Asset Pricing
- FE 829 Futures, Options & Financial Risk Management
- MF 998 Directed Study Mathematical Finance
- MF 840 Data Analysis and Financial Econometrics
- MF 850 Advanced Computational Methods
- AC 860 Accounting for Risk Management
- MF 772 Credit Risk
- MF 731 Corporate Risk Management
- MF 930 Advanced Corporate Finance
- MF 730 Portfolio Theory
- MF 770 Advanced Derivatives
- MF 730 Portfolio Theory