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UW M.S. Computational Finance & Risk Management
  • πŸŽ“Master of Science in Computational Finance & Risk Management
  • πŸ“ˆRESEARCH
    • πŸŽ“Graduate Thesis
  • πŸ™οΈOutside the Classroom
    • 🏒Parametric Fellowship
    • πŸ–₯️Algorithmic Trading @ University of Washington
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  • πŸ“ˆOVERVIEW
    • ⌨️MS-CFRM
  • πŸ“ˆFirst Quarter
    • 1️⃣CFRM 501: Investment Science
    • 1️⃣CFRM 504: Options & Other Derivatives
    • 1️⃣CFRM 506: Financial Data Analysis
  • πŸ“ˆSecond Quarter
    • 2️⃣CFRM 502: Financial Data Science
    • 2️⃣CFRM 505: Monte Carlo Methods in FInance
    • 2️⃣CFRM 540: Risk in Financial Institutions
  • πŸ“ˆThird Quarter
    • 3️⃣CFRM 503: Asset Allocation & Portfolio Management
    • 3️⃣CFRM 509: Ethics in the Finance Profession
    • 3️⃣CFRM 521: Machine Learning in Finance
    • 3️⃣CFRM 523: Advanced Trading Systems
    • 3️⃣CFRM 532: Endowment & Institutional Investment Management
  • πŸ“ˆFOURTH QUARTER
    • 4️⃣CFRM 542: Credit Risk Management
  • πŸ“ŽEXTRAS
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  1. First Quarter

CFRM 504: Options & Other Derivatives

Probably the purest math course from the curriculum. Derivatives pricing involves rigorous derivations (yeah, I know) and it's interesting to see how financial market assumptions become implemented.

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Last updated 1 year ago

Reading Material:

  • Options, Futures, and Other Derivatives, J. Hull, 2021.

  • M. Lorig.

This course introduces students to basic financial derivatives, explores how to price them, and how to use them to manage financial risk. Specific topics covered in the course include arbitrage, the 1st and 2nd fundamental theorems of asset pricing, the binomial, trinomial and Black-Scholes models, stochastic volatility, local volatility, European and American options, variance swaps and barrier claims.

  1. Introduction to Financial Derivatives

  2. The Binomial Model

  3. 1st and 2nd Fundamental Theorems of Asset Pricing

  4. Brownian Motion, Ito Processes, and Stochastic Differential Equations

  5. The Black-Scholes Model

  6. The Greeks

  7. Dupire’s Local Volatility, Stochastic Volatility Models

  8. Exotic Options

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Course notes are available here.