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This repository contains our team's model designed as a part of the Practitioners Challenge 2024 at LSE.

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Practitioners' Challenge 2024

Team Members: Baris Yazici, Yavuz Kaan Celep, Shudesh Thiru

Framework: We estimate Dynamic Correlations using DCC & GJR-GARCH and train a DeepAR model with multiple time series to forecast correlations for any two company in the LAC region.

Contents: This repository contains our team's documents created for the Practitioners Challenge 2024 at the London School of Economics in partnership with IDB Invest. We present a methodology and a corresponding model for forecasting credit default correlations for the Latin American and Caribbean region.

Screenshot 2024-03-10 at 17 29 45

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This repository contains our team's model designed as a part of the Practitioners Challenge 2024 at LSE.

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