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Jefferson edited this page May 15, 2026 · 2 revisions

Actuarial Tools

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Professional actuarial science tools, exam preparation materials, and risk modeling frameworks. Located in actuarial-tools/.

Exam Preparation

FM Exam (Financial Mathematics)

Actuary_FM_EXAM/

Organized into:

  • FM_EXAM_BREAKDOWN — Topic-by-topic breakdown of the FM exam
  • FM_FORMULAS — Formula sheets and reference material
  • FM_RESOURCES — Study guides and external resources
  • FM_SAMPLE_EXAMS — Practice exams
  • FM_TEST_SOLUTIONS — Worked solutions
  • FM_TEXTS — Textbook materials

P Exam (Probability)

Actuary_P_EXAM/

Organized into:

  • P_EXAM_BREAKDOWN — Topic breakdown
  • P_FORMULAS — Probability formula sheets
  • P_RESOURCES — Study resources
  • P_SAMPLE_EXAMS — Practice exams
  • P_TEXTS — Textbook materials

FM/P Testing Tools

fmptests/

Python implementations for core actuarial calculations:

  • annuity/annuity.py — Annuity calculations
  • annuity/perpetuity.py — Perpetuity calculations
  • bond/bond.py — Bond pricing
  • interest/accumulation.py — Accumulation functions
  • interest/basicInterest.py — Simple and compound interest

Financial Modeling

finance/

Reference Scripts (ref/)

  • fin412.py — Finance 412 course reference implementations
  • tvm.py — Time value of money utilities

Stock Analysis (stocks/)

  • JSON data files for stocks: AAPL, BA, BX, CG, FDX, GD, IBM, INTC, KKR, LIT, LMT, NOC, RTN
  • portfolio.py / portfolio_archive.py — Portfolio construction and covariance analysis
  • index2018May.py / indexCurve2018.py — Index curve generation
  • loadIndexJson.py — JSON data loader

Time Value of Money (tvm/)

  • bond.py — Bond pricing and yield calculations
  • duration_single_cf.py / duration_mult_cf.py — Duration calculations
  • cash_flows.csv / rr_cf.csv — Cash flow datasets

ISO 31000 Risk Data Model

ISO_RISK_DATA_MODEL/

A complete ISO 31000-compliant risk assessment framework implemented as 17 interrelated CSV files:

File Purpose
SCOPE.csv Risk management scope definition
POLICY_OBJECTIVES.csv Policy objectives and goals
CONTEXT_SUMMARY.csv Organizational context
CONTEXT_STAKEHOLDER.csv Stakeholder analysis
GOVERNANCE_FUNCTION.csv Governance structure
ACCOUNTABLE.csv Accountability assignments
RISK_IDEN.csv Risk identification
RISK_ANALYSIS.csv Risk analysis
RISK_EVAL.csv Risk evaluation
RISK_CRITERIA.csv Risk criteria definitions
RISK_TREATMENT.csv Risk treatment plans
RISK_QUESTION.csv Risk assessment questions
RISK_SUMMARY.csv Risk summary dashboard
EVENT_SUMMARY.csv Event tracking
COMMUNICATIONS.csv Communication plans
PERFORMANCE_MEASURES.csv Performance metrics
SEMANTIC_RISK.csv Semantic risk categorization

Research

research/

Parametric Insurance (parametric_insurance.txt)

Explores how claims departments interact with parametric insurance models, the relationship between negligence/intention and claim payoffs, and the connection to Responsibility Futures. Covers index triggers, adverse/perverse basis risk, blockchain smart contracts, and insurance-linked securities.

Intangible Goods Insurance (intangiblegoods_insurance.txt)

Analysis of insuring intangible assets (IP, goodwill, software, trademarks, data). Covers the gap between tangible (60% covered) and intangible (16% covered) asset insurance, brand valuation methods, patent insurance, cyber insurance, and data as a fungible asset.

IoT Data Sources (iot_data_sources.txt)

Curated list of Kaggle datasets for IoT-driven actuarial modeling: crowd counting, temperature/humidity sensors, and IoT device captures.

Language References

lang-ref/

Reference materials for actuarial programming:

  • prob/ — Probability implementations
  • python/ — Python reference scripts
  • rlang/ — R language reference
  • tensor/ — TensorFlow reference

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