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Non mean reverting affine processes for stochastic mortality Author info | Abstract | Publisher info | Download info | Related research | Statistics Elisa Luciano ()
Elena Vigna ()
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In this paper we use doubly stochastic processes (or Cox processes) in order to model the random evolution of mortality of an individual. These processes have been widely used in the credit risk literature in modelling default arrival, and in this context have proved to be quite flexible, especially when the intensity process is of the affine class. We investigate the applicability of affine processes in describing the individual's intensity of mortality, and provide a calibration to the Italian and UK populations. Results from the calibration seem to suggest that, in spite of their popularity in the financial context, mean reverting processes are not suitable for describing the death intensity of individuals. On the contrary, affine processes whose deterministic part increases exponentially seem to be appropriate. As for the stochastic part, negative jumps seem to do a better job than diffusive components. Stress analysis and analytical results indicate that increasing the randomness of the intensity process results in improvements in survivorship.
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Paper provided by ICER - International Centre for Economic Research in its series ICER Working Papers - Applied Mathematics Series with number
4-2005.
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Length: 29 pages
Date of creation: Mar 2005Date of revision:
Handle: RePEc:icr:wpmath:4-2005Contact details of provider: Postal: Viale Settimio Severo, 63 - 10133 Torino - Italy Phone: +39 011 6604828 Fax: +39 011 6600082 Email: Web page: http://www.icer.it More information through EDIRC
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Keywords: doubly stochastic processes (Cox processes) ; stochastic mortality ; affine processes ; Other versions of this item:
Find related papers by JEL classification: G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends and Forecasts
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