Forecasting International Financial Stress: The Role of Climate Risks

Santino Del Fava (u19021250@tuks.co.za), Rangan Gupta, Christian Pierdzioch and Lavinia Rognone (lrognone@ed.ac.uk)
Additional contact information
Santino Del Fava: Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa
Lavinia Rognone: University of Edinburgh Business School, 29 Buccleuch Place, Edinburgh, EH8 9JS, United Kingdom

No 202329, Working Papers from University of Pretoria, Department of Economics

Abstract: We study the predictive value of climate risks for subsequent financial stress in a sample of daily data running from October 2006 to December 2022 of thirteen countries, which include China, ten European Union (EU) countries, the United Kingdom (UK), and the United States (US). The climate risk indicators are the result of a text-based approach which combines the term frequency-inverse document frequency and the cosine-similarity techniques. Given the persistence of financial stress as well as the importance of spillover effects of financial stress from other countries, we use random forests, a machine-learning technique tailored to handle many predictors, to estimate our forecasting models. Our findings show that climate risks tend to have a moderate impact, albeit in several cases statistically significant, on predictive accuracy, which tends to be stronger, in our cross-section of countries, on a daily than at a weekly or monthly forecast horizon of financial stress. Furthermore, the predictive value of climate risks for financial stress is heterogeneous across the countries in our sample, implying that a univariate forecasting model appears to be better suited than a corresponding multivariate one. Finally, the predictive value of climate risks for financial stress appears to be stronger in several countries at the lower conditional quantiles of financial stress.

Keywords: Financial stress; Climate risks; Random forests; Forecasting (search for similar items in EconPapers)
JEL-codes: C22 C32 C53 G15 Q54 (search for similar items in EconPapers)
Pages: 41 pages
Date: 2023-09
New Economics Papers: this item is included in nep-ban, nep-big, nep-eec, nep-ene, nep-env, nep-fdg and nep-ifn
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Journal Article: Forecasting international financial stress: The role of climate risks (2024)
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