This paper explores a range of simple models to study the relationship between global temperature anomalies and climate forcings. In particular, we consider quantile regression models with potentially time-varying parameters (TVP), implemented by Bayesian methods. In its most general...

In this paper, we investigate how climate risk impacts the sovereign risk, the stock market evolution, and the degree of competitiveness, starting from the macroeconomic and financial effects globally produced by climate change. Using both quantile and logistic regression and a sample of 22...