Measuring Alpha-Based Performance: Implications for Alpha-Focused Structured Products
dc.contributor.author | Weigand, Robert A. | |
dc.contributor.author | Gorman, Larry R. | en_US |
dc.date | February 2008 | en_US |
dc.date.accessioned | 2018-11-02T14:38:16Z | |
dc.date.available | 2018-11-02T14:38:16Z | |
dc.date.issued | 2008-02-1 | |
dc.description.abstract | We propose that the muted demand for investment innovations such as Portable Alpha arise, at least in part, from a lack of clarity and transparency regarding the way alpha is defined and measured. We show that the profession has been debating the closely-related issue of alpha/beta separation as far back as the 1970s, and argue that lack of closure regarding this debate is a natural and expected feature of innovation in money management products. we provide an example of how to measure alpha bias in the context of benchmarking an actively-managed equity portfolio, and find a maximum potential bias from 1997-2006 of +/-5% per year. | en_US |
dc.description.sponsorship | Kaw Valley Bank | en_US |
dc.format.medium | en_US | |
dc.identifier.other | School of Business Working Paper Series; No. 96 | en_US |
dc.identifier.uri | https://hdl.handle.net/10425/236 | |
dc.language.iso | en_US | en_US |
dc.publisher | Washburn University. School of Business | en_US |
dc.subject | Investment analysis | en_US |
dc.subject | Performance attribution | en_US |
dc.subject | Portable Alpha | en_US |
dc.subject | Portfolio management | en_US |
dc.subject | Rate of Return | en_US |
dc.title | Measuring Alpha-Based Performance: Implications for Alpha-Focused Structured Products | en_US |
dc.type | Working paper | en_US |
washburn.identifier.cdm | 167 | en_US |
washburn.identifier.oclc | 247139075 | en_US |
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