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The Algorithmic Investor - Michael Epp - Bog

Bag om The Algorithmic Investor

Learn how to outperform the experts by investing algorithmically. Based on research by Nobel prize winning economists, this slim but pithy little book shows you how to invest successfully, given that the financial markets are not regular enough for conventional financial 'expertise' to make a significant difference in investment outcomes. Research has demonstrated that simple algorithms will outperform expertise in most instances, and that investors, both amateur and professional, typically reduce their investment returns by overcomplicating their approach to the investment markets. This book includes a sample algorithm and investment portfolio, as well as a more general philosophical discussion of investment issues with a view to identifying areas in which investors typically display overconfidence - to the ultimate detriment of their investment results.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781545039106
  • Indbinding:
  • Paperback
  • Sideantal:
  • 62
  • Udgivet:
  • 22. april 2017
  • Størrelse:
  • 127x203x3 mm.
  • Vægt:
  • 73 g.
  • BLACK NOVEMBER
Leveringstid: 8-11 hverdage
Forventet levering: 28. november 2024

Beskrivelse af The Algorithmic Investor

Learn how to outperform the experts by investing algorithmically. Based on research by Nobel prize winning economists, this slim but pithy little book shows you how to invest successfully, given that the financial markets are not regular enough for conventional financial 'expertise' to make a significant difference in investment outcomes. Research has demonstrated that simple algorithms will outperform expertise in most instances, and that investors, both amateur and professional, typically reduce their investment returns by overcomplicating their approach to the investment markets. This book includes a sample algorithm and investment portfolio, as well as a more general philosophical discussion of investment issues with a view to identifying areas in which investors typically display overconfidence - to the ultimate detriment of their investment results.

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