This thesis explores the relationship between carbon emission scenarios and credit risk in the context of firms. Nowadays, climate change has emerged as one of the most critical global challenges. The Intergovernmental Panel on Climate Change (IPCC) has set the ambitious goal of achieving a carbon-neutral world by 2050. To address this complex pathway, several carbon reduction scenarios, Shared Socioeconomic Pathways (SSPs), have been formulated to deal with different sectors. The goal is to formulate an optimization problem for a firm with the objective of maximizing its profit while adhering to emission constraints. Based on the studies presented in the article “Bridging socioeconomic pathways of CO2 emission and credit risk”, the objective is to derive the optimal emission strategy in alignment with the SSP benchmarks and then proceed to analyze the default probability and its associated intensity. The modelling of default time is achieved through the use of the structural default approach. We delve into this relationship by employing explicit models and investigating how variations in parameter values impact different sectors, including transportation, industrial, energy, and residential commercial. By analyzing this relationship between emission strategies and credit risk, this thesis offers valuable insights into the sustainability and financial stability of firms in a rapidly changing environmental landscape.
Questa tesi si propone di indagare la correlazione tra gli scenari di emissioni di carbonio e il rischio di credito nel contesto delle imprese. Al giorno d'oggi, il cambiamento climatico è emerso come una delle sfide globali più critiche. L'Intergovernmental Panel on Climate Change (IPCC) ha fissato l'ambizioso obiettivo di raggiungere un mondo carbon-neutral entro il 2050. Per affrontare questa sfida complessa, sono stati elaborati diversi scenari di riduzione delle emissioni di carbonio, denominati Shared Socioeconomic Pathways (SSPs), per rispondere alle specifiche esigenze di vari settori. Basandoci sulle ricerche condotte nell’articolo ““Bridging socioeconomic pathways of CO2 emission and credit risk”, il nostro scopo è creare un problema di ottimizzazione mirato alle imprese, per massimizzare il profitto nel rispetto dei vincoli sulle emissioni. Successivamente, puntiamo a definire la strategia ottimale di emissione, conformemente ai parametri stabiliti dagli SSPs, e procedere all'analisi della probabilità di default e dell'intensità associata. Approfondiamo questa relazione utilizzando modelli espliciti ed esaminando come le variazioni dei valori dei parametri influenzino settori diversi, tra cui trasporti, industria, energia e residenziale commerciale. Analizzando la relazione tra le strategie di emissione e il rischio di credito, questa tesi fornisce indicazioni sulla sostenibilità e sulla stabilità finanziaria delle imprese in un ambiente in rapida evoluzione.
Sustanaibility and financial stability: the link between CO2 emissions and credit risk
MUSCIONICO, VIRGINIA
2022/2023
Abstract
This thesis explores the relationship between carbon emission scenarios and credit risk in the context of firms. Nowadays, climate change has emerged as one of the most critical global challenges. The Intergovernmental Panel on Climate Change (IPCC) has set the ambitious goal of achieving a carbon-neutral world by 2050. To address this complex pathway, several carbon reduction scenarios, Shared Socioeconomic Pathways (SSPs), have been formulated to deal with different sectors. The goal is to formulate an optimization problem for a firm with the objective of maximizing its profit while adhering to emission constraints. Based on the studies presented in the article “Bridging socioeconomic pathways of CO2 emission and credit risk”, the objective is to derive the optimal emission strategy in alignment with the SSP benchmarks and then proceed to analyze the default probability and its associated intensity. The modelling of default time is achieved through the use of the structural default approach. We delve into this relationship by employing explicit models and investigating how variations in parameter values impact different sectors, including transportation, industrial, energy, and residential commercial. By analyzing this relationship between emission strategies and credit risk, this thesis offers valuable insights into the sustainability and financial stability of firms in a rapidly changing environmental landscape.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/209924