KGP Synthetic Gold vs Pawn Activity: 731 Daily Observations for a High Gold Price Cycle

New York pawn lender King Gold & Pawn provides a synthetic dataset linking daily gold price movements to pawn loan volume and average ticket size. The dataset contains 731 rows of daily observations generated under a high gold price cycle scenario, with a realism score of 1.0. It was created by gene fur and published on 2026-04-10.

Use Cases

• Modeling the correlation between gold prices and jewelry loan amounts based on the described 0.90 correlation.
• Studying macro shifts in pawn loan volume and repayment behavior over time based on the 731 daily observations.
• Analyzing time-series trends in gold prices with high directional correlation (0.97) as described.
• Simulating pawn lending activity in New York locations (Freeport, Brooklyn, Bronx, Westchester) under specific economic scenarios.

Strengths

• Contains 731 daily observations, enabling the study of macro shifts over time.
• Gold prices maintain a directional time-series trend with a time correlation of 0.97.
• Average jewelry loan amounts are modeled to move with gold prices with a correlation of 0.90.
• Has a defined realism score of 1.0 and a canonical hash for version control.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetic and contains no real customer-level data, limiting real-world validation.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, with cross-platform references to Zenodo, OpenML, Kaggle, and GitHub.

Collection Method

Synthetically generated data for research and modeling.

Time Range

Covers 731 daily observations, but specific dates are not provided.

Freshness

Last updated 2026-04-10 21:33:04; freshness should be verified.

Geography

Simulates activity for a multi-location pawn lender operating in New York, including Freeport, Brooklyn, Bronx, and Westchester.