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Название: Do geopolitical events transmit opportunity or threat to green markets? Decomposed measures of geopolitical risks
Авторы: Sohag, K.
Hammoudeh, S.
Elsayed, A. H.
Mariev, O.
Safonova, Y.
Дата публикации: 2022
Библиографическое описание: Do geopolitical events transmit opportunity or threat to green markets? Decomposed measures of geopolitical risks / K. Sohag, S. Hammoudeh, A. H. Elsayed et al. // Energy Economics. — 2022. — Vol. 111. — 106068.
Аннотация: The growth of clean energies and technologies requires a sound financial market, while equity and bond markets are exposed to geopolitical risks. We investigate the response of green equity and green bonds to newly develop decomposed measures of geopolitical risks, including geopolitical acts, threats, and narrow and broad measures. To this end, we apply two robust methods; namely, the cross-quantilogram and quantile and quantile (QQ) approaches, to estimate the conditional and unconditional volatility spillovers considering short, medium, and long term. Surprisingly our empirical investigation demonstrates that all measures of geopolitical risk (except geopolitical acts) transmit positive shocks to the green investments (both equity and bonds) from bearish to bullish market states. At the bullish state, green markets respond negatively to the highest quantiles of all measures of geopolitical risks under a long memory. However, the geopolitical acts negatively shock the green bonds and green equity at some extreme quantiles. Our empirical findings are beneficial by transmitting opportunities and preventing risks for investment decision-making in the green markets, considering geopolitical risks. © 2021
Ключевые слова: CROSS-QUANTILOGRAM
GEOPOLITICAL RISKS
GREEN BONDS
GREEN EQUITY
COMMERCE
DECISION MAKING
FINANCIAL MARKETS
RISK ASSESSMENT
CLEAN ENERGY
CLEAN TECHNOLOGIES
CROSS-QUANTILOGRAM
EXPOSED TO
GEOPOLITICAL EVENTS
GEOPOLITICAL RISKS
GREEN BOND
GREEN EQUITY
GREEN MARKETS
ROBUST METHODS
INVESTMENTS
ALTERNATIVE ENERGY
EQUITY
FINANCIAL MARKET
GEOPOLITICS
REGRESSION ANALYSIS
SPILLOVER EFFECT
URI: http://elar.urfu.ru/handle/10995/118371
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85130577699
Идентификатор WOS: 000806274000002
Идентификатор PURE: 30385991
DOI: 10.1016/j.eneco.2022.106068
Сведения о поддержке: Russian Science Foundation, RSF: 19-18-00262
This study was supported by the grant of the Russian Science Foundation (Code: 19-18-00262 ).
Карточка проекта РНФ: 19-18-00262
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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