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Credit Spreads, Yield Curve and Climate Risk

This repository explores the interaction between credit spreads, the term structure of interest rates, and climate-related risk, with a focus on transition risk under different climate scenarios.

The core idea is that climate change — and, more importantly, climate policy — affects credit risk not only through firm-specific fundamentals, but also through the shape and dynamics of the yield curve. Ignoring this channel may lead to a systematic underestimation of long-horizon default risk.


Motivation

Traditional credit risk models typically treat the yield curve as an exogenous macro-financial input and climate risk as an add-on stress scenario.
This project instead studies how climate transition pathways can alter the joint dynamics of:

  • the risk-free term structure,
  • credit spreads,
  • firm-level default probabilities,

with particular attention to carbon-intensive sectors.

The objective of the project is forecasting untill 2100 the yield curve and the credit spread curve integrating the climate risk.


Methodology (High Level)

The project combines:

  • term structure modeling for the yield curve,
  • credit spread decomposition into macro and climate-related components,
  • scenario-based shocks derived from Shared Socioeconomic Pathways (SSP),
  • firm-level exposures calibrated using sectoral and balance-sheet information.

Climate risk enters the model primarily through transition-related channels (e.g. carbon pricing, policy intensity, demand destruction), rather than purely physical risk.


Repository Structure

.
├── data/              # Input data (where applicable)
├── src/               # Yield curve and credit spread code
└── README.md

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Progetto per Master in Quantitative Methods for climate risk

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