Computational Methods in Finance Ali Hirsa Chapman & Hall/CRC, , xxix + pages, £/$, hardcover ISBN. Covering advanced quantitative techniques, Computational Methods in Finance explains how to solve complex functional equations through. Computational Methods in Finance by Ali Hirsa, , available at Book Depository with free delivery worldwide.
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If you want to implement these algorithms, you should be comfortable with basic numerical programming a numerical methods course was a prerequisite for his class: The next part focuses on essential steps in real-world derivative pricing. All instructor resources are now available on our Instructor Hub. The book is a 5 star text book for studying at home, but it is a 3 star book if you want to use it as a quick reference at work.
Amazon Advertising Find, attract, and engage customers. This book brings together the course lecture notes and adds more to them. It could fnance through conference attendance, group discussion or directed reading to name just a few examples. Top Reviews Most recent Top Reviews.
It will be difficult, but you’ll learn a lot! See all 12 reviews. The book is a very comprehensive and useful reference for anyone, even with limited mathematical background, who wishes to quickly understand techniques from computational finance. The book covers many interesting and challenging topics like Fourier transformation methods, finite difference methods, Kalman filtering and Monte-Carlo simulation etc.
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Computational Methods in Finance – CRC Press Book
There is also extensive material on model calibration, including interest rate models and filtering approaches. Dispatched from the UK in 3 business days When will my order arrive? The author discusses how to calibrate model parameters so that model prices are compatible conputational market prices. The serious student has a lot to gain with this book. The next part focuses on essential steps in real-world derivative pricing. Get fast, free shipping with Amazon Prime.
Amazon Drive Cloud storage from Amazon. Editorial Reviews Review “The depth and breadth compuutational this stand-alone textbook on computational methods in finance is astonishing.
Computational Methods in Finance : Ali Hirsa :
Selected pages Title Page. Those who work through them will gain a deep understanding of the modern computational methods in finance. These include transform techniques, such as the fast Fourier transform, the fractional fast Fourier transform, the Fourier-cosine method, and saddlepoint method; the finite difference method for solving PDEs in the diffusion framework and PIDEs in the pure jump framework; and Monte Carlo simulation.
Other authors usually skip those details or cover them using “handwaving” arguments. In a few words, I found the book extremely well-written and really useful for anyone who works with numerical and computational methods.
In addition, it seems to be an excellent teaching book. It then examines many computational mfthods for pricing derivatives. Covering advanced quantitative techniques, Computational Methods in Finance explains how to solve complex functional equations through numerical methods. This uniquely comprehensive and well-written book will undoubtedly prove invaluable to many researchers and practitioners.
Shopbop Designer Fashion Brands. Many helpful and interesting examples: There are many books on this subject already available. There’s a problem loading this menu right now. Fourier methods, finite difference methods, Kalman filtering, merhods simulation and many other topics are all gathered in one book, and in my opinion, with ample details and depth.
Interest Rate Models – Theory and Practice: Read more Read less. Learn more about Amazon Prime. The book is well-written and easy to follow. The student resources previously accessed via GarlandScience. These include transform techniques, such as the fast Fourier transform, the fractional fast Fourier transform, the Fourier-cosine method, and saddlepoint method; the finite difference method for solving PDEs in the diffusion framework and PIDEs in the pure jump framework; and Monte Carlo simulation.
Not Enabled Word Wise: It then examines many computational approaches for pricing derivatives. Set up a giveaway.
Reviews “The depth and breadth of this stand-alone textbook on computational methods in finance is astonishing. If one understands theories presented in the book and puts these theories into practice by writing computer programs to solve problems at the end of each chapter, one is well prepared for a career in quantitative finance. The author usually breaks down a complex problem into steps with clear mathematical derivations.
Computational Methods in Finance
Learning how the author deal and think about those issues is of great value. We’re featuring millions of their computatiojal ratings on our book pages to help you find your new favourite book.
Stochastic Finance Nicolas Privault.