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 | | Financial Market Analytics by John L. Teall ISBN-10: 9781567201987 ISBN-10: 1-56720-198-9 ISBN-13: 9781567201987 ISBN-13: 978-1-56720-198-7 Hardcover 1999-01-30 Quorum Books Find Lowest Price |
Editorials | ||
Product Description A variety of quantitative concepts and models essential to understanding financial markets are introduced and explained in this broad overview of financial analytical tools designed for financial practitioners, advanced students, and researchers lacking a strong mathematical background. Coverage ranges from matrix mathematics and elementary calculus with their applications to portfolio and fixed income analysis to probability and stochastic processes with their applications to option pricing. The book is sequenced by mathematics topics, most of which are followed by relevant usage to areas such as valuation, risk management, derivatives, back-testing of financial models, and market efficiency. The book begins by motivating the need for understanding quantitative technique with a brief discussion of financial mathematics and financial literature review. Preliminary concepts including geometric expansion, elementary statistics, and basic portfolio techniques are introduced in chapters 2 and 3. Chapters 4 and 5 present matrix mathematics and differential calculus applied to yield curves, APT, state preference theory, binomal option pricing, mean-variance analysis, and other applications. Integral calculus and differential equations follow in chapter 6. The rest of the book covers applications of probability, statistics and stochastic processes as well as a sampling of topics from numerical methods used in financial analysis. | ||
Reviews | ||
Very productive approach in learning finance by heart This excellent and practical book on quantitative finance has brought a new perspective in learning the subject by heart. It is pretty much differently productive way in capturing the subject by categorizing the lessons in term of relevant mathematical tools, instead of conventionally by particular financial topics. It just prepares the reader sufficiently to meet the mathematical understanding of each particular financial materials by incorporating the related examples, very practical though, that utilizes each quantitative tool for that associated chapter. One caveat to keep is that, the content is very concise, to the point and sufficient still, and leaves no room for overly explaination, if you need one. It will be, as the author regularly suggests, a very excellent supplement reading with your main finance text, whatever subject it is you are learning. It could also be conveniently kept as the handbook or quick refresher for practitioners, who needs to brighten up the basic concept in finance. One last thing to add, the book is quite basic and should be fully benefited and most valuable to the learner who only requires the material of early stage in learning finance seriously or want to study it in more quantitatively oriented fashion. It would be deemed suitable, or at the equivalent level to, for the person attending college with major in business or finance up to and including MBA (Finance / Economics), especially the one who plans to go beyond the master level. | ||
Excellent Book One of the truly interesting books in financial analytics. I studied under Dr. Teall at Pace, NYC and he brings his amazing and lucid teaching style to the book. The chapters are well presented and the book is written in an extremely readable style. Moreover chapters 4 and 5 are really good and gave me a good understanding of the material. All in all a very good book that every MBA student should read. | ||
Great Overview! This book is clear, concise and comprehensive. The book provides a good overview of the various aspects of financial analytics. It served me well in reviewing matrix algebra as it applies to finance - variance-covariance analysis. | ||
A Nice and Comprehensive Text in Finance I found the text Financial Market Analytics useful and comprehensive. In addition, it is presented in a nice way, which allows readers to leverage their previous understandings. Apart from the presented theories/discussions the text provides numerous computational examples in a systematic and thoughtful fashion, helping enhance those topics. Both undergraduate and graduate students will benefit from the text. Although spending most the time talking about essential matters, the book still gives room for further investigating for those numbercrunchers with computing innate knacks. I strongly recommend the text to students and practitioners who regard finance as the professional fields, at present or in the future. I myself thank the author, Prof. John Teall for contributing such a good text. | ||
A swiss army knife of mathematical tools for finance It actually is a mathematical tool chest illustrated with numerous finance examples. As such it provides a finance professional with a quick review of elementary probability and statistics, linear algebra, calculus (stochastic and normal) and numerical methods. Teall's method is to explain the basic mathematical concepts and then to illustrate those concepts with a variety of financial examples. For an applied finance professional, the book offers a solid review of various numerical methods and shows you how to apply them in a variety of settings. Incredibly, this is all done in under 250 pages. Between the explanations of the theory and the examples of the applications, finance professionals should be able to take the information in the book and apply it to their day to day lives. The book's brevity and focus on applied work are likely to make it more useful than longer more theoretical tomes. | ||