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Random Portfolios for Performance Measurement

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Part of the book series: Advances in Computational Management Science ((AICM,volume 9))

Summary

Random portfolios—portfolios that obey constraints but ignore utility—are shown to measure investment skill effectively. Problems are highlighted regarding performance measurement using information ratios relative to a benchmark. Random portfolios can also form the basis of investment mandates Investment mandates—this allows active fund managers more freedom to implement their ideas, and provides the investor more flexibility to gain utility. The computation of random portfolios Random portfolios is briefly discussed

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© 2007 Springer-Verlag Berlin Heidelberg

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Burns, P. (2007). Random Portfolios for Performance Measurement. In: Kontoghiorghes, E.J., Gatu, C. (eds) Optimisation, Econometric and Financial Analysis. Advances in Computational Management Science, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36626-1_11

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  • DOI: https://doi.org/10.1007/3-540-36626-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36625-6

  • Online ISBN: 978-3-540-36626-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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