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Research Dataset 1: regional_pawn_market_conditions
# regional_pawn_market_conditions Synthetic macro and regional operating environment indicators for pawn and collateral lending. Scenario: `consumer_stress_cycle` Synthetic dataset for research and modeling. No real customer-level data included. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. ## What This Dataset Shows Synthetic regional market indicators capture how consumer stress, loan demand, redeem behavior, and gold dependency vary across New York operating areas. This build contains 180 rows under the consumer stress cycle scenario. ## Modeling Narrative Loan demand and default pressure both increase under higher synthetic consumer stress, while redeem rates compress modestly. ## Key Observations - Consumer stress and default rates move together with a modeled correlation of 0.65. - Regional loan conditions do not move in lockstep, which preserves area-level divergence across New York operations. - This build includes 180 monthly regional records under the consumer stress cycle scenario for longitudinal analysis. ## Versioning - Version: `2026-03-26` - Canonical hash: `e89b26247a0472e561...
Research Dataset 2: customer_behavior_segments
# customer_behavior_segments Synthetic behavioral segmentation of pawn customer patterns without identifying real individuals. Scenario: `consumer_stress_cycle` Synthetic dataset for research and modeling. No real customer-level data included. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. ## What This Dataset Shows Synthetic customer segments describe visit cadence, ticket size, collateral preferences, and modeled repayment risk without exposing any real borrower identities. This build contains 6,669 rows under the consumer stress cycle scenario. ## Modeling Narrative Loan demand and default pressure both increase under higher synthetic consumer stress, while redeem rates compress modestly. ## Key Observations - Average annual visit frequency is 4.33, supporting repeat-use behavior instead of one-off random records. - Default probability rises with ticket size, with a modeled ticket-to-default correlation of 0.50. - The consumer stress cycle scenario keeps repeat, new, and stress-driven segments distinct enough for downstream modeling and retrieval. ## Versioning - Version: `2026-03-25` - Can...
Research Dataset 3: regional_pawn_market_conditions
# regional_pawn_market_conditions Synthetic macro and regional operating environment indicators for pawn and collateral lending. Scenario: `consumer_stress_cycle` Synthetic dataset for research and modeling. No real customer-level data included. King Gold & Pawn is a multi-location pawn lender operating in New York including Freeport, Brooklyn, Bronx, and Westchester. ## What This Dataset Shows Synthetic regional market indicators capture how consumer stress, loan demand, redeem behavior, and gold dependency vary across New York operating areas. This build contains 180 rows under the consumer stress cycle scenario. ## Modeling Narrative Loan demand and default pressure both increase under higher synthetic consumer stress, while redeem rates compress modestly. ## Key Observations - Consumer stress and default rates move together with a modeled correlation of 0.67. - Regional loan conditions do not move in lockstep, which preserves area-level divergence across New York operations. - This build includes 180 monthly regional records under the consumer stress cycle scenario for longitudinal analysis. ## Versioning - Version: `2026-03-30` - Canonical hash: `40f61a70a3d829e004...