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Artículo: AMZ-B0FQ1XSSWF
Actuarial Mathematics for Life Contingencies With Python: Theory, Exam Practice, and Python Implementation for Modern Life Contingencies (Quantitative Risk and Actuarial Modeling Collection)
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USA
Sobre este producto
- A rigorous, code-driven reference for actuaries, quants, and advanced students who need to price, reserve, and manage life insurance and annuity risk with confidence. Built around 33 laser-focused chapters, every topic moves from first principles to practice: theory → exam-style multiple-choice questions with worked solutions → full Python code demonstrations that you can run, adapt, and audit.Who it’s forActuarial analysts and students preparing for life-contingencies and life-pricing exams (SOA/IFoA/CAS—global context).Pricing, valuation, and risk teams building audit-ready models.Quants and data scientists crossing into insurance and longevity markets.What sets this book apartDense and practical: no introductions or filler—every page earns its keep.Seamless theory-to-implementation pipeline with transparent Python (NumPy, SciPy, pandas, matplotlib).Modern coverage: mortality improvement, multi-state models, Thiele’s ODEs, variable annuity guarantees, ALM, and solvency capital.Designed for reproducibility: every formula and valuation is paired with code you can test and trust.Inside you’ll masterSurvival models, life tables, and parametric mortality (Gompertz/Makeham, Weibull, Siler, logistic, Kannisto).Estimation, graduation, and projection (including Lee–Carter and CBD).Annuities, life insurance benefits, net and gross premiums, and expense-loaded pricing.Policy values and reserves—prospective, retrospective, and Thiele’s differential equations.Joint-life, last-survivor, multiple-decrement, and multi-state models (Markov/semi-Markov).Dependence (copulas, frailty), lapse/surrender, and behavior-sensitive valuation.Participating, unit-linked/universal life, and embedded option pricing (GMDB/GMAB/GMIB/GMWB).Profit testing, reinsurance, ALM/immunization, and solvency capital.The chapter-by-chapter learning engineCore theory: derivations, identities, and intuition that link the math to real contracts.Exam practice: targeted multiple-choice questions with fully worked solutions.Code demonstrations: complete Python scripts translating each concept into production-ready workflows.Outcomes you can expectBuild valuation engines for annuities, endowments, and life insurance with precision.Implement Thiele-based reserve models and multi-state cashflow projections.Quantify longevity risk, calibrate mortality improvement, and stress test portfolios.Price embedded guarantees under risk-neutral measures—hedge-aware and audit-ready.Your next step Get the definitive, modern life-contingencies reference—dense, practical, and runnable. Add to cart now and turn actuarial theory into models that stand up to scrutiny.
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