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Financial Engineering and Risk Management Part II

Columbia University via Coursera

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  • Provider Coursera
  • Subject Finance
  • $ Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate Paid Certificate Available
  • Effort 7-10 hours a week
  • Start Date
  • Duration 7 weeks long

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Overview

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Financial Engineering is a multidisciplinary field involving finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part II will be on the use of simple stochastic models to (i) solve portfolio optimization problems (ii) price derivative securities in various asset classes including equities and credit and (iii) consider some advanced applications of financial engineering including algorithmic trading and the pricing of real options. We will also consider the role that financial engineering played during the financial crisis.

We hope that students who complete the course and the prerequisite course (FE & RM Part I) will have a good understanding of the "rocket science" behind financial engineering. But perhaps more importantly, we hope they will also understand the limitations of this theory in practice and why financial models should always be treated with a healthy degree of skepticism.

Syllabus

Mean-Variance Analysis and CAPM
Problem formulation and solution; the efficient frontier; including the risk-free asset; the Capital Asset Pricing Model (CAPM);implications of CAPM: α, β, security and capital market lines

Practical Issues in Implementing Mean Variance
Problems with mean-variance analysis; ETFs and leveraged ETFs; VaR and CVaR for asset allocation; survivorship bias, performance evaluation and other statistical pitfalls.

Equity Derivatives in Practice: Part I
Problems with mean-variance analysis; ETFs and leveraged ETFs; VaR and CVaR for asset allocation; survivorship bias, performance evaluation and other statistical pitfalls.

Equity Derivatives in Practice: Part II
More about Black-Scholes, the Greeks and delta-hedging; the volatility surface; pricing derivatives using the volatility surface; model calibration.

Credit Derivatives and Structured Products
Mechanics and pricing of CDOs; exotic structured credit securities including CDO-squared’s and CDO-cubed’s. Risk management of these products and their role in the financial crisis.

Other Applications of Financial Engineering
Real options; energy and commodities modeling; algorithmic trading.

Background Material


Taught by

Martin Haugh and Garud Iyengar

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Reviews for Coursera's Financial Engineering and Risk Management Part II
4.3 Based on 3 reviews

  • 5 stars 67%
  • 4 star 0%
  • 3 star 33%
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  • 1
John W
5.0 3 years ago
John partially completed this course and found the course difficulty to be very hard.
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Rohit M
5.0 3 years ago
by Rohit completed this course.
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Zulqarnain S
3.0 4 years ago
by Zulqarnain is taking this course right now, spending 2 hours a week on it and found the course difficulty to be medium.
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