Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Columbia University

Financial Engineering and Risk Management Part I

Columbia University via Coursera

This course may be unavailable.

Overview

Limited-Time Offer: Up to 75% Off Coursera Plus!
7000+ certificate courses from Google, Microsoft, IBM, and many more.
Financial Engineering is a multidisciplinary field drawing from finance and economics, mathematics, statistics, engineering and computational methods. The emphasis of FE & RM Part I will be on the use of simple stochastic models to price derivative securities in various asset classes including equities, fixed income, credit and mortgage-backed securities. We will also consider the role that some of these asset classes played during the financial crisis. A notable feature of this course will be an interview module with Emanuel Derman, the renowned ``quant'' and best-selling author of "My Life as a Quant".

We hope that students who complete the course will begin to understand 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. The follow-on course FE & RM Part II will continue to develop derivatives pricing models but it will also focus on asset allocation and portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading.

Syllabus

  • Course Overview
    • An introduction to the course.
  • Introduction to Basic Fixed Income Securities
    • Review of interest and basic fixed income securities; introduction to arbitrage pricing.
  • Introduction to Derivative Securities
    • The mechanics of forwards, futures, swaps and options. Option pricing in the 1-period binomial model.
  • Option Pricing in the Multi-Period Binomial Model
    • Derivatives pricing in the binomial model including European and American options; handling dividends; pricing forwards and futures; convergence of the binomial model to Black-Scholes.
  • Term Structure Models I
    • Binomial lattice models of the short-rate; pricing fixed income derivative securities including caps, floors swaps and swaptions; the forward equations and elementary securities.
  • Term Structure Models II and Introduction to Credit Derivatives
    • Calibration of term-structure models; the Black-Derman-Toy and Ho-Lee models. Limitations of term-structure models and derivatives pricing models in general. Introduction to credit-default swaps (CDS) and the pricing of CDS and defaultable bonds.
  • Introduction to Mortgage Mathematics and Mortgage-Backed Securities
    • Basic mortgage mathematics; mechanics of mortgage-backed securities (MBS) including pass-throughs, principal-only and interest-only securities, and CMOs; pricing of MBS; MBS and the financial crisis.
  • Background Material

Taught by

Martin Haugh and Garud Iyengar

Reviews

4.2 rating, based on 12 Class Central reviews

Start your review of Financial Engineering and Risk Management Part I

  • Krassimir Kostadinov
    The course gives an introduction to financial engineering, mainly with respect to valuation of derivatives in a binomial model framework. During the quizzes you will develop a nice set of Excel sheets illustrating the main concepts of derivative valuation. Excellent lecturers with practical insight!

    It is too lightweight for people with knowledge in risk management. At the same time it's too heavy-weight for people who see the topic for first time.
  • This course helps me develop my skills in the field of specialization, as I study in entrepreneurship and project management
  • Profile image for Richard Van Egas
    Richard Van Egas
    i took the first edition and second edition of this course.... Sadly or happily, it doesn't exist anymore.... It is now a full set SPECIALIZATION keeping its master level of difficulty
  • Mat Wallington
  • Netanel Iair Mendez
  • John Walsh
  • Macemers
  • Max

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.