Bias correction for estimated distortion risk measure using the bootstrap
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References listed on IDEAS
- Kim, Joseph H.T. & Hardy, Mary R., 2009. "Estimating the Variance of Bootstrapped Risk Measures," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 39(01), pages 199-223, May.
- Philippe Artzner & Freddy Delbaen & Jean-Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228.
- Jones, Bruce L. & Zitikis, Ricardas, 2007. "Risk measures, distortion parameters, and their empirical estimation," Insurance: Mathematics and Economics, Elsevier, vol. 41(2), pages 279-297, September.
- Inui, Koji & Kijima, Masaaki & Kitano, Atsushi, 2005. "VaR is subject to a significant positive bias," Statistics & Probability Letters, Elsevier, vol. 72(4), pages 299-311, May.
- A. D. Hutson & M. D. Ernst, 2000. "The exact bootstrap mean and variance of an "L"-estimator," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(1), pages 89-94.
- Jones, Bruce L. & Puri, Madan L. & Zitikis, Ricardas, 2006. "Testing hypotheses about the equality of several risk measure values with applications in insurance," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 253-270, April.
- Kim, Joseph Hyun Tae & Hardy, Mary R., 2007. "Quantifying and Correcting the Bias in Estimated Risk Measures," ASTIN Bulletin: The Journal of the International Actuarial Association, Cambridge University Press, vol. 37(02), pages 365-386, November.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Alemany, Ramon & Bolancé, Catalina & Guillén, Montserrat, 2013. "A nonparametric approach to calculating value-at-risk," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 255-262.
- Belles-Sampera, Jaume & Merigó, José M. & Guillén, Montserrat & Santolino, Miguel, 2013.
"The connection between distortion risk measures and ordered weighted averaging operators,"
Insurance: Mathematics and Economics,
Elsevier, vol. 52(2), pages 411-420.
- Jaume Belles-Sampera & José M. Merigó & Montserrat Guillén & Miguel Santolino, 2012. "The connection between distortion risk measures and ordered weighted averaging operators," IREA Working Papers 201201, University of Barcelona, Research Institute of Applied Economics, revised Jan 2012.
- Ramon Alemany & Catalina Bolancé & Montserrat Guillén, 2012. "Nonparametric estimation of Value-at-Risk," Working Papers XREAP2012-19, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2012.
More about this item
KeywordsExact bootstrap Bias correction Distortion risk measure Majorization Conditional tail expectation;
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