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# Changelog
All notable changes to the FQBM project are documented here.
## [Unreleased]
- **CBDC in state**: `FQBMState.cbdc_liability`; workbook sets it on CBDC shift; IPSAS statement of financial position (CB/consolidated) shows CBDC liability; dashboard snapshot includes cbdc_liability.
- **Repo multiplier in workbook/dashboard**: `run_workbook(shadow_params=ShadowBankingParams(...))` optional; repo_multiplier always computed and included in `result["dashboard"]["repo_multiplier"]` and `result["repo_multiplier"]`.
- **Real data pipelines**: `fqbm.data.pipelines``fetch_fed_h41()`, `fetch_bis_series()` (BIS bulk CSV), `fetch_imf_series()` (IMF API with optional api_key).
- Documentation: RECOMMENDATIONS.md (consolidated list); framework_summary one sentence per Part; REFERENCES weblinks (IPSASB Handbook, BIS bulk, IMF Data, Fed Data Download); IPSAS_COMPLIANCE and GAPS_AND_MISSING reference RECOMMENDATIONS; CONTRIBUTING links RECOMMENDATIONS; USER_GUIDE and DATA_DICTIONARY mention pipelines extension and RECOMMENDATIONS; MISSING_COMPONENTS 2.2 table completed (all rows updated, duplicate removed); RECOMMENDATIONS Inline docstrings row updated; docstrings: Part X and Required columns in regressions, Part XII in capital_stress.
- IPSAS: structures for IPSAS 3, 5, 9/47, 10, 14, 19, 20, 23, 29/41, 38, 46, 48; cash-basis; RPG 2; functional/presentation currency.
- budget_actual_from_state() for IPSAS 24 from state + budget dict.
- State: functional_currency, presentation_currency.
- Matrix: cross_sector_consistency_check().
- Part XI: get_case_narrative(name) for historical case narrative and coded outputs.
- Docs: USER_GUIDE, API_REFERENCE, DATA_DICTIONARY, WHITE_PAPER stub, CHANGELOG, CONTRIBUTING; updates to IPSAS_COMPLIANCE, GAPS_AND_MISSING, framework_summary, REFERENCES, README.
## [0.2.0]
- L_cb, open_economy_view, reporting_date. IPSAS presentation helpers. Part VII/VIII, Part XI presets. Workbook scenario support and Excel export.
## [0.1.0]
- Initial implementation: state, matrix, sheets, Monte Carlo, differential model, regressions.