This course gives you an easy introduction to interest rates and related contracts. These include the LIBOR, bonds, forward rate agreements, swaps, interest rate futures, caps, floors, and swaptions. We will learn how to apply the basic tools duration and convexity for managing the interest rate risk of a bond portfolio. We will gain practice in estimating the term structure from market data. We will learn the basic facts from stochastic calculus that will enable you to engineer a large variety of stochastic interest rate models. In this context, we will also review the arbitrage pricing theorem that provides the foundation for pricing financial derivatives. We will also cover the industry standard Black and Bachelier formulas for pricing caps, floors, and swaptions.
At the end of this course you will know how to calibrate an interest rate model to market data and how to price interest rate derivatives.

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- Week 1 -
**Introduction**

- Week 2 -
**Interest Rates and Related Contracts**

We learn various notions of interest rates and some related contracts. Interest is the rent paid on a loan. A bond is the securitized form of a loan. There exist coupon paying bonds and zero-coupon bonds. The latter are also called discount bonds. Interest rat... - Week 3 -
**Estimating the Term Structure**

We learn how to estimate the term structure from market data. There are two types of methods. Exact methods produce term structures that exactly match the market data. This comes at the cost of somewhat irregular shapes. Smooth methods penalize irregular shape... - Week 4 -
**Stochastic Models**

Models for the evolution of the term structure of interest rates build on stochastic calculus. We start with a crash course in stochastic calculus, which introduces Brownian motion, stochastic integration, and stochastic processes without going into mathematic... - Week 5 -
**Interest Rate Derivatives**

We apply what we learnt to price interest rate derivatives. Specifically, we focus on the standard derivatives: interest rate futures, caps and floors, and swaptions. We derive the industry standard Black and Bachelier formulas for cap, floor, and swaption pri... - Week 6 -
**Final Quiz**

**Damir Filipović**, EPFL

The Swissquote Chair in Quantitative Finance and Swiss Finance Institute Professor

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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5 / 5

Terminé

Very challenging and rewarding course, the treatment of interest rates is of the level of a Master's degree in financial mathematics. I would advise anyone attempting this course to get at least a little more exposure to stochastic calculus before attempting it even though it already provides a small crash course.

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5 / 5

Terminé

Great course! If you have not deep economic/financial background (f.i., I am an engineer) you should not rely too much to the expected time required to complete the week assignment, especially weeks 4 and 5. Lectures have a marked mathematical facet (it's a financial mathematics course, after all!) and exercises are well designed to make you understand the matter. The final exam stays in ~200 lines of Matlab (comments included), so if you are committed you will succeed.

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5 / 5

Terminé

Very interesting and engaging course. It covers relevant topics in fixed income derivatives. It's rather challenging and requires some prior knowledge of quantitative finance/mathematics (and more time than stated in the syllabus :)). Also not possible to pass without some programming skills. What I didn't like is that instructor didn't provide economic intuition behind math formulas and models but rather presented them from a purely mathematical perspective.

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4 / 5

Terminé

Very engaging materials and it is a difficult course!! Background in linear algebra, stochastic calculus and computer programming is recommended.

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4 / 5

Terminé

Great course and I learned a lot from it, much more than I initially anticipated. The staff is very supportive and gives right advise when there is a need. Would like to see more intuitive explanations along with the mathematical derivations. Not an easy course but really worth to take it to the end.

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1 / 5

Terminé

Doing this course takes longer than stated and needs constant research to understand what is missing in the classes lectures. Some problems are the assumption of finance jargon is known and pricing formulas are given without fully explaining its origins stating its simple algebra.

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5 / 5

Terminé

This course has been quite challenging, which I really have enjoyed. I guess this course is a shorter and easier version of the real course the professor teaches at his own institution. It only covers about one third of his text book, but now I know I can finish the textbook by myself. I strongly recommend to future learners that they get his textbook. I learned more from examples given the textbook. Since there didn't seem many learners on this course, it was quite frustrating to find a little mistake that I was making, but I guess that understanding whether the mistakes are conceptual or computational is also an important part of financial engineering. Anyway, I hope he will offer more of courses like this on coursera.

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5 / 5

Terminé

A really useful and practical course in Quantitative Finance, which really raises the bar in terms of difficulty but also the knowlegde gained is definitely there. I would recommend this course even to seasoned industry professionals (e.g. traders, quants, portfolio managers) since it provides relevant techniques for measuring and managing interest rate risk and understanding interest rates derivatives space/markets. On the other hand I do feel that with useful comments, provided by the Coursera community, this course can only become better, as time goes by.

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5 / 5

Terminé

Amazing course with a great exposé of each concept and extremely well designed assignments. The contents are brilliant, really clear, the study materials are well designed. The assignments help to recognize blind spots in the understanding of the concepts and push to implement the contents. It is a really nice balance between knowledge and know-how. Also a really tough one but "pain will make it better".

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3 / 5

Terminé

Content wise this course is excellent, quant finance enthusiasts would love this course. Truth be told this is an insanely difficult MOOC to pass/complete, not because its hard, lets face it, the contents are very advanced and its assumed that students would have background in advanced finance, but the problem lies in the fact that the professor does not explain the topics well enough. The professor might be excellent in this field but simply can't explain well enough, he is mostly reading his notes/slides with a few drawings. Second problem is the notations used in the course is extremely confusing, it makes maths look scary. This could have been a the best MOOC on Coursera but the professor's explanation is simply not upto the mark.

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