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This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as fundamental calculus, linear algebra, probability, and basic numerical methods. The easily-understandable text of "Introduction to Actuarial and Mathematical Methods"...
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Introduction to R programming -- Statistics in finance -- Statistical analysis with R -- Time series analysis with R -- Basic theory of finance -- Modern portfolio theory and CAPM -- Interest rate swap and discount factor -- Discrete time model: tree model -- Continuous time model and the...
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financial econometrics and statistical techniques commonly used in quantitative finance, the book covers: estimation of …
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This is an excellent book to grasp the basics of financial risk management. Everything in the book is explained from scratch and the concepts are very well exemplified with real life situations. Accompanied with a website filled with excel sheets for application, the book is great for future...
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