Financial Mathematics Masterclass
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Applied Mathematics for financial markets and investments, with a particular focus on extending mathematical or numerical models in financial economics, form the crux of a good Financial Mathematics tutorial.
Analytical frameworks and models learnt in Financial Mathematics must also overlap with Financial Engineering (also known as Computational Finance), to transit the financial modeling and derivation learnt into practical application in financial valuations and investment decisions.
While many have attended undergraduate university programs or performed postgraduate research in mathematical finance, re-visiting the fundamentals of financial mathematics is always a helpful refresher for both newly qualified and experienced finance professionals.
Self-directed investors and non-finance executives will also find financial mathematics useful in building a foundation in the basics of quantitative financial analysis, that will help apply a more rigorous analytical framework to investment decisions or corporate finance project analysis.
The Finance 3.0 Financial Mathematics program contains a library of 7 courses designed to help you learn the fundamentals of financial mathematics. A step-by-step walk through of core financial concepts, mathematical models and quantitative financial analysis techniques are covered, providing a comprehensive and practical understanding of mathematical finance.
The 7 courses covered in the Finance 3.0 Financial Mathematics program are:
- Basic Financial Measures
- Time Value of Money
- Bond Pricing
- Yield Curve Analysis
- Probability Distributions and their Properties
- Measuring Volatility
- Correlation and Regression Analysis
Enrollment into the Finance 3.0 Financial Mathematics program also provides you with access to a database of Measurement Tools and Mathematical Foundation information, and ensure a comprehensive array of mathematical finance tools and formulas at your fingertips always.
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