A Three-Factor Model for Mortality Modeling

Vincenzo Russo, Rosella Giacometti, Svetlozar Rachev, Frank J. Fabozzi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this article, we propose a three-factor model for mortality modeling in which the dynamic of the entire term structure of mortality rates can be expressed in closed form as a function of three variables x, t, and y. Due to this feature, we are able to project mortality rates across age (x), across time (t), and for y years (y ⩾ 1) after t. Our proposal differs from most existing models where only the one-year mortality rate is considered (y = 1). The model is characterized by three parameters that are calibrated yearly. We describe the stochastic dynamic of the three factors with correlated autoregressive processes. We generate stochastic scenarios accounting for the historical mortality trend in a consistent manner with the Gompertz law. Using population mortality data for Italy, the U.S., and the U.K., the model’s forecasting capability is assessed, and a comparative analysis with other models is provided.

Original languageEnglish
Pages (from-to)129-141
Number of pages13
JournalNorth American Actuarial Journal
Issue number2
StatePublished - Apr 3 2015


Dive into the research topics of 'A Three-Factor Model for Mortality Modeling'. Together they form a unique fingerprint.

Cite this