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dc.contributor.authorBiałek-Szkudlarek, Martyna
dc.contributor.authorStarosta, Wojciech
dc.date.accessioned2025-06-30T17:17:12Z
dc.date.available2025-06-30T17:17:12Z
dc.date.issued2025-04-23
dc.identifier.issn0208-6018
dc.identifier.urihttp://hdl.handle.net/11089/55807
dc.description.abstractIncreasingly frequent extreme weather events, leading to rising climate risk, are one of the key aspects that financial institutions presently analyse. This paper highlights the connection between climate risk indicators and two main drivers of the traditional risk management process: default rates and loss rates. This information is valuable to financial institutions, enabling them to manage climate change risks more effectively. The study fills a scientific gap by using new indicators to analyse the impact of climate risk on credit risk in the largest EU economies. We show the results for the five biggest European Union economies (Germany, Spain, Italy, the Netherlands, and France). We demonstrate strong, moderate, and weak connections for each pair of climate risk drivers and risk parameters using three correlation measures: Pearson, Spearman, and Kendall-Tau. Significant differences are observed between countries, with the highest number of correlated variables in the Netherlands. A high correlation is also observed in France and Italy, while the correlations in Spain and Germany are less pronounced. The correlations also vary by asset class, highlighting the need for a case-by-case approach to climate risk assessment.en
dc.description.abstractCoraz częściej występujące ekstremalne zjawiska pogodowe, które stanowią element ryzyka klimatycznego, są jest jednym z kluczowych aspektów analizowanych obecnie przez instytucje finansowe. Niniejszy artykuł analizuje związek między wskaźnikami ryzyka klimatycznego a dwoma głównymi parametrami tradycyjnego procesu zarządzania ryzykiem: wskaźnikami niewypłacalności i wskaźnikami strat. Informacje te są cenne dla instytucji finansowych, umożliwiając im skuteczne zarządzanie ryzykiem związanym ze zmianami klimatu. Badanie wypełnia lukę naukową, wykorzystując nowe wskaźniki do analizy wpływu ryzyka klimatycznego na ryzyko kredytowe w największych gospodarkach UE. Przedstawiamy wyniki dla pięciu największych gospodarek Unii Europejskiej (Niemcy, Hiszpania, Włochy, Holandia, Francja). Wykazujemy silne, umiarkowane i słabe powiązania dla każdej pary czynników ryzyka klimatycznego i parametrów ryzyka kredytowego, wykorzystując trzy miary korelacji: Pearsona, Spearmana i Kendall-Tau’a. Wyniki wskazują znaczące różnice między krajami, z największą liczbą skorelowanych zmiennych w Holandii. Wysoką korelację zaobserwowano również we Francji i Włoszech, podczas gdy w Hiszpanii i Niemczech korelacje były mniej wyraźne. Korelacje różnią się również w zależności od klasy aktywów, co podkreśla potrzebę indywidualnego podejścia do oceny ryzyka klimatycznego.pl
dc.language.isopl
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesActa Universitatis Lodziensis. Folia Oeconomica;370en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectryzyko kredytowepl
dc.subjectzmiana klimatupl
dc.subjectparametry ryzykapl
dc.subjecttesty warunków skrajnychpl
dc.subjectryzyko klimatycznepl
dc.subjectcredit risken
dc.subjectclimate changeen
dc.subjectrisk parametersen
dc.subjectstress testingen
dc.subjectclimate risken
dc.titleWpływ ryzyka klimatycznego na parametry ryzyka kredytowego. Ocena na podstawie pięciu gospodarek UEpl
dc.title.alternativeThe Impact of Climate Risk on Credit Risk Parameters. Evidence from Five EU Economiesen
dc.typeArticle
dc.page.number20-48
dc.contributor.authorAffiliationStarosta, Wojciech - University of Lodz, Department of Economics and Sociology, Institute of Econometrics, Chair of Econometrics, Lodz, Polandpl
dc.identifier.eissn2353-7663
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dc.contributor.authorEmailBiałek-Szkudlarek, Martyna - martynabialekszkudlarek@gmail.com
dc.contributor.authorEmailStarosta, Wojciech - w.starosta@wp.pl
dc.identifier.doi10.18778/0208-6018.370.02
dc.relation.volume1


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