Kindle Price: £104.49

Save £41.51 (28%)

includes VAT*
* Unlike print books, digital books are subject to VAT.

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Deliver to your Kindle or other device

Kindle App Ad
Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice) by [Brandimarte, Paolo]

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice) 2nd Edition, Kindle Edition

3.3 out of 5 stars 2 customer reviews

See all 3 formats and editions Hide other formats and editions
Amazon Price
New from Used from
Kindle Edition
£104.49

Kindle Monthly Deal
Browse a new selection of discounted Kindle Books each month. Shop now

Product description

Review

"Inquisitive statisticians may find this book an interesting read in which to put their theories and epistemology to the test." ( Journal of American Statistics, 2008)

"In summary, this book is a "must have" for professionals and researchers who employ numerical methods in economic and financial modeling. The amount and quality of the material that the author offers is so generous that readers are likely to benefit from it even if they are not interested in some of the specific applications presented." ( Interfaces, June 2008)

" a broad and enjoyable introduction to computational finance." (Journal of the American Statistical Association, December 2007)

"...written in such a lucid way that it provides great pleasure in reading...excellent for students...of great value to practitioners who are new to the field." (MAA Reviews, November 23, 2006)



"...written in such a lucid way that it provides great pleasure in reading...excellent for students...of great value to practitioners who are new to the field." ( MAA Reviews, November 23, 2006)

Synopsis

This book presents a state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance. The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, "Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, Second Edition" bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB - the powerful numerical computing environment - for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.Among this book's most outstanding features is the integration of MATLAB, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing.

This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms.Newly featured in the Second Edition include: in-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies; new appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12; new chapter on binomial and trinomial lattices; additional treatment of partial differential equations with two space dimensions; expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance; and, new coverage of advanced optimization methods and applications later in the text."Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, Second Edition" presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library.

Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.


Product details

  • Format: Kindle Edition
  • File Size: 19307 KB
  • Print Length: 696 pages
  • Publisher: Wiley-Interscience; 2 edition (6 Jun. 2013)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B00D9NQZ36
  • Text-to-Speech: Enabled
  • X-Ray for Textbooks:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 3.3 out of 5 stars 2 customer reviews
  • Amazon Bestsellers Rank: #2,403,782 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  • Would you like to tell us about a lower price?


Customer reviews

Share your thoughts with other customers
See all 2 customer reviews

Top customer reviews

2 August 2013
Format: Kindle Edition|Verified Purchase
4 people found this helpful
|Comment|Report abuse

Most helpful customer reviews on Amazon.com

Amazon.com: 4.6 out of 5 stars 8 reviews
Shafik Yaghmour
5.0 out of 5 starsGreat all around book and excellent reference
28 April 2008 - Published on Amazon.com
Format: Hardcover|Verified Purchase
31 people found this helpful.
Lizzy
5.0 out of 5 starsUseful
2 October 2013 - Published on Amazon.com
Format: Hardcover|Verified Purchase
One person found this helpful.
Bill P
5.0 out of 5 starsA Classic
23 February 2008 - Published on Amazon.com
Format: Hardcover
6 people found this helpful.
R. Kumar
4.0 out of 5 starsPractical and Readable
5 November 2007 - Published on Amazon.com
Format: Hardcover
7 people found this helpful.
Juan C. Echeverri
4.0 out of 5 starsGreat Book
15 July 2009 - Published on Amazon.com
Format: Hardcover
click to open popover

Where's My Stuff?

Delivery and Returns

Need Help?