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🐍 Actuarial models in Python 🐍


Collection of useful models that actuaries can use to speed up their tasks.

Algorithms available

Algorithm Source Description
Smith&Wilson Technical-documentation Interpolation and extrapolation of missing interest rates
Stationary-boot-calib Whitepaper-2004 Automatic calibration of the stationary bootstrap algorithm
Stationary-bootstrap Politis-Romano-1994 Resampling procedure for weakly dependent stationary observations
Calibration-of-alpha Technical-documentation Calibration of the Smith & Wilson's alpha parameter
Correlated Brownian Wiki Brownian motion Simple function to generate correlated Brownian motion in multiple dim.
Nel-Si-Svansson BIS whitepaper Nelson-Siegel-Svansson model for approximating the yield curve
Black&Scholes Wiki Black&Sholes Black&Scholes model for pricing option contracts
Vasicek one factor Wiki Vasicek Vasicek model for modelling the evolution of interest rates
Vasicek two factor Wiki Vasicek Vasicek model for modelling the evolution of a pair of interest rates
1F Hull White Wiki Hull White One factor Hull White model of short rates

Algorithms planned

Algorithm Source Description
Matrix on fraction TBD Heuristics for calculating transition matrices on fractions of power
G2++ with piec cons vol TBD Calibration of a G2++ model with piecewise constant volatility
Carter-Lee model TBD Simple stochastic mortality model
Metropolis-Hastings TBD Sampling of probability distributions

New suggestions for algorithms are welcome.

If anybody is interested in publishing an algorithm they implemented, or help with the project, contact us and we will make it happen.

Queries and suggestions; [email protected]