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Analytics of Finance, Fall 2010

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Abstract:: This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (It) calculus. These techniques, along with their computer implementation, are covered in depth. Application areas include portfolio management, risk management, derivatives, and proprietary trading.

Subject:: Business, Social Sciences
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Optimization Methods, Fall 2009

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Abstract:: This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.

Subject:: Mathematics and Statistics, Science and Technology
Grade Level:: Post-secondary
Collection:: MIT OpenCourseWare

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Top Keywords

Black-Scholes Model computer science Derivative Pricing Discrete Optimization Dynamic Optimization Financial Econometrics Generalized Method of Moments Linear Optimization MIT Monte Carlo Monte Carlo Simulation Network Flows Nonlinear Optimization Portfolio Management Proprietary Trading Risk Management Robust Optimization Sloan School of Management Statistical Inference Stochastic (It) Calculus

Conditions of Use

No Strings Attached
Remix and Share
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Read the Fine Print

No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.

Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.

Your redistributing comes with some restrictions. Do not remix or make derivative works.

Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.

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