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Probability and Statistics for Finance Hardcover – 23 Aug 2010

4.4 out of 5 stars 8 customer reviews

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Product details

  • Hardcover: 674 pages
  • Publisher: John Wiley & Sons; 1 edition (23 August 2010)
  • Language: English
  • ISBN-10: 0470400935
  • ISBN-13: 978-0470400937
  • Product Dimensions: 16 x 5.1 x 23.6 cm
  • Boxed-product Weight: 930 g
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: 271,055 in Books (See Top 100 in Books)

Product description

From the Inside Flap

In order to remain competitive in the intensely quantitative field of finance, you need a firm understanding of the foundations of finance: probability and statistics. Expert authors Svetlozar (Zari) Rachev, Markus Höchstötter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance for that reason.

Engaging and informative, this reliable guide not only covers introductory material on probability and statistics for students and practitioners, but also provides unique coverage of specific topics that are of special interest to finance professionals, researchers, and academics.

Divided into four comprehensive parts, Probability and Statistics for Finance:

  • Discusses descriptive statistics: the different methods for gathering data and presenting them in the most succinct way

  • Covers the basics of probability theory as well as the different types of probability distributions, parameters of a probability distribution, joint and conditional probability distributions, continuous probability distributions dealing with extreme events, and dependence measures for two random variables beyond the correlation measure such as the copula function

  • Explores statistical inference: the method of drawing information from sample data about unknown parameters of the population from which the sample was drawn

  • Provides in-depth coverage of the most widely used statistical tools in financemultivarate regression analysisfrom the basics to building models

To provide readers with a complete understanding of the various topics touched upon throughout, the book includes appendices that cover the fundamentals of functions and their features, matrix operations, and binomial and multinomial coefficients.

Written for both financial professionals and individuals aspiring to enter this field, Probability and Statistics for Finance addresses an array of important issuesfrom applying probability to portfolio management, asset pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures. With this book, discover how probability and statistics can help you effectively navigate even the most complex financial terrain.

From the Back Cover

The recent upheaval of the global financial system has enhanced the need for improved statistical tools for financial modeling and analysis. To fill that need, expert authors Svetlozar Rachev, Markus Höchstötter, Frank Fabozzi, and Sergio Focardi have written Probability and Statistics for Finance.

Filled with in-depth insights and practical advice, this book guides readers from the basic elements of probability and statistics to the most advanced topics. Along the way, it covers everything from the application of probability to portfolio management, asset pricing, risk management, and credit risk modeling to probability distributions that deal with extreme events and statistical measures.

This book:

  • Outlines an array of topics in probability and statistics and how to apply them in the world of finance

  • Offers detailed discussions of descriptive statistics, basic probability theory, inductive statistics, and multivariate analysis

  • Provides real-world illustrations of the issues addressed throughout the text

  • And much more

Written with financial professionals, academics, and aspiring students in mind, Probability and Statistics for Finance has what you need to stay current and succeed in this fast-moving field.


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Amazon.com: 4.4 out of 5 stars 8 reviews
Chi
5.0 out of 5 starsMy son did not like statistics books that just describe formulas and derivations
26 January 2016 - Published on Amazon.com
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3 people found this helpful
Stephen
2.0 out of 5 starsway too many errors
4 January 2012 - Published on Amazon.com
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13 people found this helpful
Gary B Montross
5.0 out of 5 starsFive Stars
24 October 2014 - Published on Amazon.com
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C.B.
5.0 out of 5 starsVery well structured book
11 May 2014 - Published on Amazon.com
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2 people found this helpful
Felix Schmidt
5.0 out of 5 starsrecommendable for students, lecturers and scientists
19 March 2014 - Published on Amazon.com
3 people found this helpful