Columbia University
Advanced Topics in Derivative Pricing
Columbia University

Advanced Topics in Derivative Pricing

This course is part of Financial Engineering and Risk Management Specialization

Taught in English

Some content may not be translated

Garud Iyengar
Ali Hirsa
Martin Haugh

Instructors: Garud Iyengar

7,476 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.5

(23 reviews)

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

19 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.5

(23 reviews)

Intermediate level

Recommended experience

16 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Financial Engineering and Risk Management Specialization
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There are 6 modules in this course

What's included

3 readings

This module contains the first part of equity derivatives. After a brief review on the binomial model, we introduce Black-Scholes model and how to utilize this model to derive so-called "Greeks." Greeks are very important indices in options, which measure the sensitivity of option value to a wide range of variables such as stock price and volatility. We are also covering risk management and hedging. Greeks play an important role in risk management and hedging, as traders and quants often use Greeks approach to hedge and construct their portfolios. Moreover, we will introduce scenario analysis and how Greeks are used to measure portfolio value change. In the end, we are covering an introduction to implied volatility and volatility smile. Implied volatility is a key link between market option prices and options prices under the framework of Black-Scholes model. We'll be covering more about this topic in the next module.

What's included

11 videos2 readings7 quizzes

This module contains the second part of equity derivatives. Following past module, we'll continue discussing implied volatility and volatility smile. We introduce two main explanations about volatility skew: risk aversion and leverage effect. Next, we will cover how to utilize volatility surface to price derivatives, including digital options and range accruals. Meanwhile, we will introduce a method to obtain risk-neutral density of terminal stock price distribution from option prices. We will also cover two additional topics about joint distribution of two securities and dynamic replication in practice. In module 3, you will have a real-world assignment where you will use all the knowledge from previous modules to solve the problems about equity derivatives. In this assignment, you will be exposed to many think-about questions where you can jump out of the Black-Scholes framework and think in a model-free world.

What's included

10 videos1 reading3 quizzes

What's included

1 reading3 quizzes

This module involves topics in credit derivatives and structured products. Firstly, we will cover the definition of Credit Debit Obligation (CDO) and Gaussian Copula model, where Gaussian Copula can be used to compute the portfolio loss function. CDO plays an important part in the past financial crisis starting from 2008, and it is an important part of working for traders and quants in Securitized Products Group (SPG). Next, we will introduce a simple version of 1-period CDO, where you can learn how to get the expected tranche losses and understand CDO from observations about equity, mezzanine and senior tranches. In the end, we will cover the mechanism about synthetic CDO and the method to calculate the fair value of premium lag, default lag, and CDO tranche. We will also cover CDO portfolios, including pricing and risk management of CDO portfolios and higher-order CDO products.

What's included

14 videos2 readings5 quizzes

This module involves topics in real options. Real options are based on highly volatile underlying assets with many uncertainties including market, industrial, technical, organizational, and political issues. We take natural gas and electricity related options as an example to introduce valuation methods such as dynamic programming in real options.

What's included

4 videos2 readings1 quiz

Instructors

Instructor ratings
4.5 (8 ratings)
Garud Iyengar
Columbia University
7 Courses431,889 learners
Ali Hirsa
Columbia University
5 Courses41,466 learners
Martin Haugh
Columbia University
7 Courses431,889 learners

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