An info-gap approach to managing portfolios of assets with uncertain returns
AbstractPurpose – The purpose of this paper is to provide a quantitative methodology based on information-gap decision theory for dealing with (true) Knightian uncertainty in the management of portfolios of assets with uncertain returns. Design/methodology/approach – Portfolio managers aim to maximize returns for given levels of risk. Since future returns on assets are uncertain the expected return on a portfolio of assets can be subject to significant uncertainty. Information-gap decision theory is used to construct portfolios that are robust against uncertainty. Findings – Using the added dimensions of aspirational parameters and performance requirements in information-gap theory, the paper shows that one cannot simultaneously have two robust-optimal portfolios that outperform a specified return and a benchmark portfolio unless one of the portfolios has arbitrarily large long and short positions. Research limitations/implications – The paper has considered only one uncertainty model and two performance requirements in an information-gap analysis over a particular time frame. Alternative uncertainty models could be introduced and benchmarking against proxy portfolios and competitors are examples of additional performance requirements that could be incorporated in an information-gap analysis. Practical implications – An additional methodology for applying information-gap modeling to portfolio management has been provided. Originality/value – This paper provides a new and novel approach for managing portfolios in the face of uncertainties in future asset returns.
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Bibliographic InfoArticle provided by Emerald Group Publishing in its journal Journal of Risk Finance.
Volume (Year): 10 (2009)
Issue (Month): 3 (May)
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Web page: http://www.emeraldinsight.com
Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
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- Moshe Sniedovich, 2010. "A bird's view of info-gap decision theory," Journal of Risk Finance, Emerald Group Publishing, vol. 11(3), pages 268-283, May.
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