: Interest Rate Modeling. Volume 1: Foundations and Vanilla Models () by Leif B. G. Andersen; Vladimir V. Piterbarg and a great. Download Citation on ResearchGate | On Jun 1, , Rico von Wyss and others published Leif B. G. Andersen and Vladimir V. Piterbarg: Interest Rate. One would expect that more than pages on interest rate modeling would provide a comprehensive and overwhelming treatment of the.
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Andersen and Piterbarg have written a Landau and Lifschitz of fixed income analytics. The result is a masterwork: From Preface For quantitative researchers working in an investment bank, the process of writing a fixed income model usually has two stages. First, a theoretical framework for yield curve dynamics is specified, using the language of mathematics especially stochastic calculus to ensure that the underlying model is well-specified and internally consistent.
Second, in order to use the model in practice, the equations arising from the first step need to be turned into a working implementation on a computer.
While specification of the theoretical model may be seen as the difficult part, in quantitative finance applications the second step is technically and intellectually often more challenging than the first.
In the implementation phase, not only does one need to translate abstract ideas into computer code, one also needs to ensure that the resulting numbers being produced are meaningful to a trading desk, are stable and robust, are in line with market observations, and are produced in a timely manner.
While there are many good introductory books on fixed income derivatives on the market, when we hire people who have read them we find that they still require significant training before they become productive members of our quantitative research teams.
For one, while existing literature covers some aspects of the first step above, advanced approaches to specifying yield curve dynamics are typically not covered in sufficient detail. More importantly, there is simply too little said in the literature about the process of getting the theory to work in the real world of trading and risk management.
An important goal of our book series is to close these gaps in the literature. The three volumes of Interest Rate Modeling are aimed primarily at practitioners working in the area of interest rate derivatives, but much of the material is quite general and, we believe, will also hold significant appeal to researchers working in other asset classes.
Students and academics interested in financial engineering and applied work will find the material particularly useful for its description of real-life model usage and for its expansive discussion of model calibration, approximation theory, and numerical methods. In preparing the books we have drawn on nearly 30 years of combined industry experience, and much of the material has never been exposed in book form before.
We owe a great debt of gratitude to our families for their support and patience, even when our initial plans for a brief book on tips and tricks for working quants ballooned into something more ambitious that consumed many evenings and weekends over the last six years.
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Ships from and sold by Amazon. Foundations and Vanilla Models by Leif B. Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. Foundations and Vanilla Models. Advances in Financial Machine Learning. Marcos Lopez de Prado. Option Volatility and Pricing: Advanced Trading Strategies and Techniques, 2nd Edition. Review Andersen and Piterbarg have written a Landau and Lifschitz of fixed income analytics.
Atlantic Financial Press August 17, Language: I’d like to read this book on Kindle Don’t have a Kindle? Share your thoughts with other customers. Write a customer review. Showing of 4 reviews. Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now.
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I have read the vol 1 and vol 3. This review is for vol 3 only. After reading vol 1 pls refer to my review for Vol 1 I was very impressed with the theoretical coverage piterharg numerical tips, given by the authors who are probably the best quants on the street. Having this in mind I was expecting the same excitement and detail coverage for intrest wide range of vol products in vol 3.
Now I have briefly finished reading vol 3, I have to say my feeling of vol 3 is mixed.
Leif B. G. Andersen and Vladimir V. Piterbarg: Interest Rate Modeling
I love the theortical treatment very well, the mapping in chap 16, the spread options in chap 17, the different improvements of regression in chap 18, the bermudans in 19, etc. The good thing is the subject is talked in detail with proofs and some implementation tips, and it is hard to find such material in other quant books.
However, I feel something is missing. Some real trade examples maybe would fill some blanks. Just how to vega hedge a perticular CLE in real life, for example?
I know there is no simple answer but would love to see how the big banks are doing it.
I was expecting the authors discuss the hedging strategy for various type of piteebarg products, 1 by 1, in detail, but I was a bit disappointed. Another pity I feel is the lack of discussion of forward vol and certain 2nd-order derivative profiles for the callables.
Such as negative volga for accretor callables, I think every vol trader on the street knows this is ugly, however the authors didn’t talk about it. Well, there are really too many things to cover I guess so can’t expect a perfect book. Overall I would still highly recommend this book for quants and vol traders.
Vladimir V. Piterbarg (Author of Interest Rate Modeling. Volume 1)
This advanced text provides a comprehensive account of the current state-of-the art of financial mathematics with direct application in the field of Interest Rates modeling. The book is accessible to both practitioners of mathematical finance as well as researchers in the field. Written with an exceptional commitment to clarity a well familiar style for the authors the book reaches well beyond the Interest Rates modeling into the realm of applied mathematical finance for today financial engineering.
The book covers an extremely large spectrum of topics, ranging from simple to very advance: Many of the technical solutions presented in this book can easily be applied to other mathematical finance fields Equity, FX, Commodity, etc.
In my opinion this is the best book of the year in mathematical finance and with certainty it is one of the great literature resources in the field, a “must have” for any quant. Although Amazon sales separately each volume it may be handy when you need to replace one of the volumes that you had lent to a good friend the book has a strong cohesion and I think it is meant to be study as one unit.
Products and Risk Management. I really find “Interest Rate Modeling” by Leif Andersen and Vladimir Piterbarg not only the best practical guide on interest rates derivatives modeling but also one of the best books on quantitative finance, in general.
It is no wonder that many quants supporting asset classes other than interest rates derivatives bought this book as well. It is not only rigorous to ensure good understanding and giving the big picture but also very practical showing what would work in practice and what not, and how using what tools it can be achieved. Other books sometimes go on describing in details models that no one would ever use in practice just for the sake of completeness, or never discuss implementation details, which are the most important if the model is to be applied in practice not mentioning curves building, Greeks and Risk Management.
I am sure that every trading desk has already got a few copies of this book for reference: It is comprehensive because it methodologically covers all the components for successful understanding, development, and application of interest rates modeling in practice: I really recommend this book to everyone interested in quantitative finance: See all 4 reviews. Customers who viewed this item also viewed. Interest Rate Models – Theory and Practice: Derivatives Analytics with Python: Pages with related products.
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