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This project utilizes ARIMA/SARIMA models with macroeconomic adjustments to RE forecast long-term returns and volatilities across various sectors and regions.

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CostanzaBCestelli/real_estate_optimization

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Hybrid Forecast & Portfolio Optimization

License: MIT

This project provides a framework for generating 7-year Real Estate return forecasts and de-smoothed volatility estimates across multiple sector-region pairs, leveraging ARIMA/SARIMA models and forward-looking macroeconomic adjustments. It also employs Michaud Resampling for improved and robust portfolio allocations.

Features:

  • Hybrid long-term return forecasting with SARIMA and sector/region-specific macro adjustments.
  • De-smoothed volatility estimation for more realistic risk parameters.
  • Michaud Resampling for enhanced portfolio diversification and robustness.
  • Organized code structure, automated testing, and continuous integration.

Getting Started:

pip install -r requirements.txt

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This project utilizes ARIMA/SARIMA models with macroeconomic adjustments to RE forecast long-term returns and volatilities across various sectors and regions.

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