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Investment Performance Attribution involves identifying and quantifying those activities that increase investment return above a given benchmark--and is the hottest topic in institutional investing today. Investment Performance Attribution is the first book to provide clear and in-depth coverage of how and when to use the varying forms of attribution. It makes necessarily high-level attribution mathematics accessible, and will become an essential reference for professional money managers and institutional investors.
- Sales Rank: #1943590 in Books
- Published on: 2003-01-07
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x .82" w x 6.20" l, 1.20 pounds
- Binding: Paperback
- 274 pages
About the Author
David Spaulding is president of consulting and research firm The Spaulding Group and publisher of The Journal of Performance Measurement.
Most helpful customer reviews
3 of 4 people found the following review helpful.
A primer where few primers exist
By Amazon Customer
As other posts have said, this book's main strength is that it gathers together methods from a variety of technical articles and puts them in one nice place. From that standpoint, it is a nice entry point into the field of performance attribution & to survey the landscape, as it were. It is clear & concise. But it doesn't have sophisticated or advanced treatment of any one subject.
2 of 3 people found the following review helpful.
Investment Performance Attribution
By Angela Schooley
I recently finished reading Investment Performance Attribution, and thoroughly enjoyed it. While all of this information is available elsewhere, it's nice to see it in one place, and the comparison of formulas is invaluable. I will definitely keep this book close at hand for ready reference.
4 of 6 people found the following review helpful.
Good basic book- easy to read, full of info
By A Customer
As a professional who's job is performance and attribution- this book was a good basic education. Doesn't include a whole lot about fixed income (just one chapter)- where attribution is on the "bleading" edge. Recommended.
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