Mathematical Asset Management

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A01=Thomas Hoglund
accessible
approach
asset
Author_Thomas Hoglund
background
book
calculus
Category=KFFM
Category=PB
derivatives
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
financial
fluctuation
fundamental
growth
increase
introduction
market
mathematical
mathematical tools
portfolio
practical
strategies
topics

Product details

  • ISBN 9780470232873
  • Weight: 481g
  • Dimensions: 160 x 241mm
  • Publication Date: 23 May 2008
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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A practical approach to the mathematical tools needed to increase portfolio growth, learn successful trading strategies, and manage the risks associated with market fluctuation

Mathematical Asset Management presents an accessible and practical introduction to financial derivatives and portfolio selection while also acting as a basis for further study in mathematical finance.

Assuming a fundamental background in calculus, real analysis, and linear algebra, the book uses mathematical tools only as needed and provides comprehensive, yet concise, coverage of various topics, such as:

  • Interest rates and the connection between present value and arbitrage

  • Financial instruments beyond bonds that serve as building blocks for portfolios

  • Trading strategies and risk performance measures

  • Stochastic properties of stock prices

  • The difference between expected return and expected growth and the geometric Brownian motion

  • Diversification through the creation of optimal portfolios under various constraints

  • The use of the Capital Asset Pricing Model to accurately estimate the difference between the return of the market and the short rate

To further demonstrate the reality of the discussed concepts, the author analyzes five active stocks over a four-year period and highlights the different methods and portfolios that exist in today's economic world. Exercises are also provided throughout the text, along with the solutions, allowing readers to measure their understanding of presented techniques as well as see how the methods work in real life.

Mathematical Asset Management is an excellent book for courses in mathematical finance, actuarial mathematics, financial derivatives, and financial engineering at the upper-undergraduate and graduate levels. It is also a valuable reference for practitioners in banking, insurance, and asset management industries.

Thomas Höglund, PhD, is Lecturer in the Department of Mathematics at Stockholm University in Sweden, where he participated in the creation of a program in mathematics and economics. A former head mathematician for the Swedish Intelligence Service, Dr. Höglund conducts research in mathematical statistics and probability theory.

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