金融工程与风险管理,第 2 部分

Financial Engineering and Risk Management Part II

Financial Engineering is a multidisciplinary field invo…

哥伦比亚大学

Coursera

金融

难(高级)

25 小时

  • 英语
  • 1420

课程概况

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.

你将学到什么

Real Options Valuation

Derivative (Finance)

Risk Management

Real Options

课程大纲

周1 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

周2 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.

周3 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.

周4 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.

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