Insurance Actuarial Python
Insurance Actuarial Python: Insurance Actuarial Python: specialized toolkit for 3+ finance workflows covered in the triggers section.
Overview
Constraints
Evidence Quality
Medium confidence — review before critical use
35 non-negotiable constraints
WHENWhen implementing the Smith-Wilson calibration vector calculation
ACTIONCompute calibration vector b using EIOPA paragraph 149 specification with matrix inverse of (Q' * H * Q)
CONSEQUENCEIncorrect calibration vector causes interpolated/extrapolated rates to deviate from EIOPA-compliant values, invalidating downstream insurance reserve calculations
WHENWhen implementing the Wilson heart function for matrix operations
ACTIONCalculate H matrix using formula: 0.5 * (α*(u+v) + exp(-α*(u+v)) - α*|u-v| - exp(-α*|u-v|)) per EIOPA paragraph 132
CONSEQUENCEIncorrect Wilson heart function causes wrong H matrix values, propagating errors through all calibration and extrapolation calculations
WHENWhen implementing rate to price conversion for zero-coupon bonds
ACTIONTransform observed rates to ZCB prices using p = (1+r)^(-M) formula before calibration
CONSEQUENCEIncorrect rate-to-price conversion produces wrong bond prices, causing calibration vector b to be miscalculated and invalidating all derived rates
FAQ
Discussion (0)
No comments yet. Be the first to share!
Changelog
v0.1.0: Initial release on Doramagic.ai. Auto-generated batch-v1 metadata and FAQs based on tangweigang-jpg/doramagic-skills.