Download A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more (Financial Engineering Advanced Background Series), by Dan Stefanica
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A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more (Financial Engineering Advanced Background Series), by Dan Stefanica
Download A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more (Financial Engineering Advanced Background Series), by Dan Stefanica
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About the Author
Dan Stefanica has been the Director of the Baruch MFE Program since its inception in 2002, and is the author of the best-selling A Primer For The Mathematics Of Financial Engineering and A Linear Algebra Primer for Financial Engineering: Covariance Matrices, Eigenvectors, OLS, and more, and co-author of 150 Most Frequently Asked Questions on Quant Interviews. He teaches graduate courses on numerical methods for financial engineering, as well as pre-program courses on advanced calculus and numerical linear algebra with financial applications. His research spans numerical analysis, graph theory, and geophysical fluid dynamics. He has a PhD in mathematics from New York University and taught previously at the Massachusetts Institute of Technology.
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Product details
Series: Financial Engineering Advanced Background Series
Paperback: 340 pages
Publisher: FE Press, LLC (July 7, 2014)
Language: English
ISBN-10: 0979757657
ISBN-13: 978-0979757655
Product Dimensions:
6 x 0.8 x 9 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
6 customer reviews
Amazon Best Sellers Rank:
#468,966 in Books (See Top 100 in Books)
thank you for the book. it is in good condition
Unarguably the best Linear Algebra primer out there for applications to finance. Broad range of topics covered with great depth. I often use it as a quick reference guide.
I got the wrong book
Excellent book!
This book, modestly titled as a "linear algebra primer", is, in fact, a well written comprehensive introduction to the uses of linear algebra techniques in finance. The emphasis lies on concrete, computer software implementable linear algebra with a wide range of specific applications to portfolio construction, market data analysis, and derivatives pricing. It will be a valuable resource not only for its targeted audience, namely graduate students in financial engineering, but also, more broadly, for business professionals whose work relies of quantitative techniques.
This book is not A Linear Algebra Primer for Financial Engineering...It is a Primer on Applying Basic Linear Algebra in Financial Engineering...That is the book doesn't teach much Linear Algebra...what it does is show how to applylinear algebra to Financial Engineering...but you have to know Linear Algebra ( at the college undergrad linear algebra level)to make much use of the book. But if you are comfortable with Linear Algebra there are some useful applications.
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