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Input Data Reference

Principle

All operative defaults live under input_data/. No user-specific absolute path is required. The loaders validate schemas, units, ranges and identifiers and retain file hashes for run provenance.

Directory map

Directory Files Use
market_data/ australian_zero_curve.csv, model_parameters.csv The only live market-data inputs
cost_assumptions/ cost_assumptions.csv Customer charges, insurer expenses, option markup and hedge-reference fee
dynamic_behaviour/ dynamic_behaviour_baselines.csv, dynamic_behaviour_coefficients.csv Statistical take-up, lapse and withdrawal proxy
equity_allocation/ equity_allocation.csv Product-level reference-fund equity weight
mc_analysis/ portfolio_analysis.csv Named Monte Carlo path counts and seed namespaces used by the different workflows
model_points_policyholders/ full, four-point and one-point CSVs Representative insured-person portfolios

Market data

The Australian zero curve is the only market series read on every run. model_parameters.csv contains the already supplied equity volatilities, correlations, Heston/Hull–White parameters and real-world equity risk premia. The baseline does not request extra price histories, volatility surfaces, credit-spread curves or calibration files.

Q valuation uses Heston–Hull–White. Simplified real-world projections use Black–Scholes–Hull–White under Measure.REAL_WORLD. In that physical baseline, the equity drift is risk-free drift plus the supplied equity risk premium and P/Q rate dynamics are identical because no separate term premium is introduced.

Reference-fund allocation

equity_allocation.csv defines generic_reference_fund with 30% equity. The 70% bond share is always derived as one minus the equity weight. This file is a product input, not a market calibration.

Cost assumptions

The base set includes customer charges and insurer expenses required by the case study. Of particular importance:

  • option fair-value markup: 0.50% of the fair option-package value;
  • hedge-reference management fee: 0.30% per year of hedge notional;
  • acquisition and maintenance-expense proxies;
  • MVA proxy parameters.

The markup is relative to option fair value, not 50 basis points of notional. The hedge-reference fee belongs to insurer hedge cost and does not reduce the customer reference-fund return.

Behaviour assumptions

Behaviour inputs distinguish contractual constraints from uncalibrated proxy parameters. Coefficients are used in transparent link functions and include moneyness/performance terms. They are intended to resemble common dynamic behaviour modelling practice, but they are not Australian experience rates.

Monte Carlo samples

portfolio_analysis.csv retains disjoint random-number namespaces for workflows that require separate policy selection and evaluation, in particular adaptive insurer cap optimisation:

  • final evaluation;
  • up to three LSMC training samples;
  • held-out LSMC validation.

Market, take-up and mortality seeds remain separate. Changing a market seed or path count requires a distinct Q-market cache; changing non-market mortality or expense assumptions does not.

The customer-behaviour LSMC is intentionally different. It uses only the primary LSMC training row as one common exact Q sample for continuation-value fitting, direct V11 rollout and the paired Dynamic comparison. Legacy validation/evaluation arguments remain parseable for compatibility but are normalised to that primary sample; they do not create an OOS gate. Customer-LSMC runs also require exactly one model point.

Model-point sets

File Intended use
model_points_policyholders.csv Full 48-point illustrative portfolio for evidence runs
model_points_policyholders_4_point_proxy.csv Small portfolio for development and medium runs
model_points_policyholders_1_point_proxy.csv Required representative contract for customer-LSMC runs and fast orchestration checks

The one-point proxy must not be described as portfolio evidence, even when many market paths are used. It supports method and product-design sensitivity only. A model point represents an insured person; contract_weight and premium_volume_weight control aggregation.

Clone-and-run guarantee

Every required CSV in input_data/ is versioned. Paths are exported from repository_paths.py, so moving or cloning the repository does not require path edits.