Course Description
This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. These techniques, along with their computer implementation, are covered in depth. Application areas include …
This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. These techniques, along with their computer implementation, are covered in depth. Application areas include portfolio management, risk management, derivatives, and proprietary trading.
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Bootstrap, discussed in Lecture 9, is a re-sampling method which can be used to evaluate properties of statistical estimators. This course covers Bootstrap and other methods used in financial analysis. (Image by MIT OpenCourseWare.)
