Datasets:
configs:
- config_name: economic_resilience
data_files:
- FOM.csv
license: pddl
task_categories:
- tabular-classification
- reinforcement-learning
language:
- en
tags:
- finance
pretty_name: Economic Resilience & Risk Modeling Dataset
size_categories:
- 10K<n<100K
Economic Resilience & Risk-Adjusted Growth Dataset (Neutral Benchmark)
Overview
This dataset provides a structured analysis of economic resilience, risk-adjusted capital allocation, and market adaptability across 10,000 simulated agents. The data models two primary capital allocation strategies under varying economic conditions:
Expansive Growth Agents: Prioritizing market share maximization and high-risk, high-reward expansion.
Sustainable Efficiency Agents: Emphasizing allocative efficiency, risk-adjusted returns, and resilience to economic shocks.
This dataset is suitable for AI-driven economic forecasting, policy simulation, and financial risk modeling, offering a benchmark for understanding long-term viability under different market pressures.
Dataset Details
Entities Modeled: 10,000 simulated economic agents
Time Horizon: 200 economic cycles
Core Variables:
Capital Dynamics: Initial capital endowment, final capital balance
Market Behavior Metrics: Compound growth rate, efficiency ratios, liquidity constraints
Risk Exposure Indicators: Systemic volatility index, macroeconomic stress response
Survival Metrics: Total market participation duration, shock absorption capacity
Each agent's decision-making is guided by statistical optimization principles, reflecting standard economic response patterns under variable regulatory and financial conditions.
Data Format
CSV File: economic_resilience.csv
Each row corresponds to an economic agent's performance metrics. EntityID StrategyType InitialCapital GrowthRate Efficiency ... SurvivalDuration RiskAdjustedIndex EXP_0001 Expansive 28,450 0.0577 0.5912 ... 23 0.0680 SUST_0001 Sustainable 31,984 0.0345 0.8543 ... 197 0.9123 JSON File: economic_resilience.json
Contains metadata detailing variable definitions and simulation parameters.
Potential Applications
Financial Risk Modeling: Enables AI models to assess long-term solvency and systemic stability.
Macroeconomic Forecasting: Supports predictive modeling for capital allocation and investment strategy selection.
Policy Impact Analysis: Evaluates market resilience under different regulatory scenarios.
Usage Guidelines
Integrate into AI-driven financial models to simulate market agent behaviors under varying economic constraints.
Use as a benchmark dataset for training reinforcement learning models in risk-adjusted capital allocation.
Apply in stochastic simulations to study the long-term impact of expansionary vs. efficiency-based economic strategies.
License & Attribution
This dataset is dedicated to the public domain under the Public Domain Dedication and License (PDDL). You are free to use, modify, and distribute this data without any restrictions.
No attribution is required for use.
It is freely available for integration into AI training models, economic simulations, and financial forecasting applications.
Contact & Feedback