Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/34229
Title: The influence of the ‛environmentally-friendly’ character through asymmetries on market crash price of risk in major stock sectors
Authors: Dimitriadis, Konstantinos A. 
Koursaros, Demetris 
Savva, Christos S. 
Major Field of Science: Social Sciences
Field Category: Economics and Business
Keywords: Skewness;Green investing;Asset pricing;Price of risk;Kurtosis
Issue Date: Dec-2024
Source: Journal of Climate Finance, 2024, vol. 9
Volume: 9
Journal: Journal of Climate Finance 
Abstract: This paper investigates the impact that the ‛green character’ of stocks generates on their market price of risk. The study covers a spectrum of international large-cap stocks in influential sectors since 1 January 2013 up to 5 July 2022. Focusing on the asymmetric and shape features of price risk, econometric outcomes reveal that well-established (Industrials) or highly profitable (Technology) sectors are less affected by the skewness/kurtosis price of risk or the ‛environmentally-friendly’ features. On the contrary, sectors vulnerable to alterations in income or wealth, such as Financials and Real Estate are more sizably influenced by negative asymmetry, kurtosis, and the higher volatility in bear markets. The ‛green character’ lowers the market price of stocks, increases risk premia due to higher probability for downwards movements and renders investors more risk-averse and nevertheless, this impact only reflects the initial period of green innovation with high anti-polluting costs as the green label could prove to be greatly beneficial in the future.
URI: https://hdl.handle.net/20.500.14279/34229
ISSN: 29497280
DOI: 10.1016/j.jclimf.2024.100052
Rights: © 2024 Elsevier
Type: Article
Affiliation : Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

Page view(s)

69
Last Week
0
Last month
checked on Mar 20, 2025

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.