City Research Online

Items where Author is "Russolillo, M."

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Number of items: 7.

Article

Giordano, G., Haberman, S. ORCID: 0000-0003-2269-9759 & Russolillo, M. (2019). Coherent modeling of mortality patterns for age-specific subgroups. Decisions in Economics and Finance, 42(1), pp. 189-204. doi: 10.1007/s10203-019-00245-y

D'Amato, V., Haberman, S., Piscopo, G. , Russolillo, M. & Trapani, L. (2016). Multiple mortality modeling in Poisson Lee-Carter framework. Communications in Statistics - Theory and Methods, 45(6), pp. 1723-1732. doi: 10.1080/03610926.2014.960580

D'Amato, V., Haberman, S., Piscopo, G. & Russolillo, M. (2014). Computational framework for longevity risk management. Computational Management Science, 11(1-2), pp. 111-137. doi: 10.1007/s10287-013-0178-2

D'Amato, V., Haberman, S., Piscopo, G. , Russolillo, M. & Trapani, L. (2014). Detecting Common Longevity Trends by a Multiple Population Approach. North American Actuarial Journal, 18(1), pp. 139-149. doi: 10.1080/10920277.2013.875884

D'Amato, V., di Lorenzo, E., Haberman, S. , Russolillo, M. & Sibillo, M. (2011). The Poisson Log-Bilinear Lee-Carter Model: Applications Of efficient bootstrap methods to annuity analyses. North American Actuarial Journal, 15(2), pp. 315-333. doi: 10.1080/10920277.2011.10597623

Russolillo, M., Giordano, G. & Haberman, S. (2011). Extending the Lee Carter Model: a Three-way Decomposition. Scandinavian Actuarial Journal, 2011(2), pp. 96-117. doi: 10.1080/03461231003611933

Working Paper

Haberman, S. & Russolillo, M. (2005). Lee Carter mortality forecasting: application to the Italian population (Actuarial Research Paper No. 167). London, UK: Faculty of Actuarial Science & Insurance, City University London.

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