Properties of Distortion Risk Measures

Alejandro Balbás (), José Garrido () and Silvia Mayoral ()
Additional contact information
Alejandro Balbás: Universidad Carlos III de Madrid
José Garrido: Concordia University
Silvia Mayoral: Universidad de Navarra

Methodology and Computing in Applied Probability, 2009, vol. 11, issue 3, 385-399

Abstract: Abstract The current literature does not reach a consensus on which risk measures should be used in practice. Our objective is to give at least a partial solution to this problem. We study properties that a risk measure must satisfy to avoid inadequate portfolio selections. The properties that we propose for risk measures can help avoid the problems observed with popular measures, like Value at Risk (VaR α ) or Conditional VaR α (CVaR α ). This leads to the definition of two new families: complete and adapted risk measures. Our focus is on risk measures generated by distortion functions. Two new properties are put forward for these: completeness, ensuring that the distortion risk measure uses all the information of the loss distribution, and adaptability, forcing the measure to use this information adequately.

Keywords: Risk measures; Distortion functions; VaR α; CVaR α; Coherent measures; Complete measures; Adapted measures; 62P05; 91B28 (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (33)

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DOI: 10.1007/s11009-008-9089-z

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