Stormy Forecasts: How Climate Policy Uncertainty Drives Index Returns A cross‐country and ‐sectoral comparison

dc.contributor.advisor	Sifat, Imtiaz
dc.contributor.author	Beck, Thomas
dc.date.issued	2024-07-11
dc.description.abstract	This paper investigates the relation between climate policy uncertainty (CPU) and stock market performance, highlighting national – and sectoral differences. Utilizing the CPU index from Gavriilidis (2021), I perform a reversed unrestricted mixed data sampling regression (RU-MIDAS) to analyse 33 countries over the period 2004-2020. The results reveal a divergence in the effect of CPU on stock returns with a positive and significant effect observed in several European countries. Given the EU’s stringent environmental policies, this suggests that being a frontrunner in the climate transitions presents opportunities rather than challenges. This paper contributes to academic literature by confirming and extending findings of recent studies and adds to the growing body of work on climatological effects on financial markets worldwide.
dc.identifier.uri	https://theses.ubn.ru.nl/handle/123456789/17338
dc.language.iso	en
dc.thesis.faculty	Faculteit der Managementwetenschappen
dc.thesis.specialisation	specialisations::Faculteit der Managementwetenschappen::Master Economics::Corporate Finance & Control
dc.thesis.studyprogramme	studyprogrammes::Faculteit der Managementwetenschappen::Master Economics
dc.thesis.type	Master
dc.title	Stormy Forecasts: How Climate Policy Uncertainty Drives Index Returns A cross‐country and ‐sectoral comparison

Now showing 1 - 1 of 1