Mastering Attribution in Finance: A practitioner's guide to risk-based analysis of investment returns (Financial Times Series) - Image 1

£81.56

FT Publishing Mastering Attribution in Finance: A practitioner's guide to risk-based analysis of investment returns (Financial Times Series)

Name: Mastering Attribution in Finance: A practitioner's guide to risk-based analysis of investment returns (Financial Times Series)
Brand: FT Publishing
Price: 81.56 GBP
Availability: InStock

Finance

About as cheap as it gets. The only time it was cheaper was 2 months ago.

£82 today · all-time low £81 (May 2026) · usually the usual

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Description

Mastering Attribution in Finance is a comprehensive guide to how attribution is used in equity and fixed income markets. Attribution in finance is a key investment and asset management process used in managed funds. A managed fund uses appropriate financial tools to make sure that the fund‘s value is maintained or increased. Attribution tools are used to analyse why a portfolio’s performance differs from a benchmark. The difference between the portfolio return and the benchmark return is known as the active return. As with all Mastering titles, this book is written by an expert in the field. It will show you how to: Understand how attribution is used in equity and fixed income markets Improve your knowledge of the mathematics used in performance and attribution Assess in greater detail the effects top-down attribution and attribution on specific types of fixed income security Broaden your awareness of performance and return

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Product Specifications

Brand: FT Publishing
Format: paperback
ASIN: 1292114029
Category: Books > Subjects > Business, Finance & Law > Economics > International Economics > Finance
Domain: Amazon UK
Release Date: 18 December 2015
Listed Since: 16 July 2015

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FT Publishing Mastering Attribution in Finance: A practitioner's guide to risk-based analysis of investment returns (Financial Times Series)

About as cheap as it gets. The only time it was cheaper was 2 months ago.

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