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Название: From climate risk to the returns and volatility of energy assets and green bonds: A predictability analysis under various conditions
Авторы: Bouri, E.
Rognone, L.
Sokhanvar, A.
Wang, Z.
Дата публикации: 2023
Издатель: Elsevier Inc.
Библиографическое описание: Bouri, E, Rognone, L, Sokhanvar, A & Wang, Z 2023, 'From climate risk to the returns and volatility of energy assets and green bonds: A predictability analysis under various conditions', Technological Forecasting and Social Change, № 194, 122682. https://doi.org/10.1016/j.techfore.2023.122682
Bouri, E., Rognone, L., Sokhanvar, A., & Wang, Z. (2023). From climate risk to the returns and volatility of energy assets and green bonds: A predictability analysis under various conditions. Technological Forecasting and Social Change, (194), [122682]. https://doi.org/10.1016/j.techfore.2023.122682
Аннотация: The importance of climate risk as a source of systemic risk for financial markets and the decisions of investors, portfolio managers, and regulators is growing. We examine the directional predictability from two climate risk measures, transition risk and physical risk, to the returns and volatility of European brown and green energy stocks, European carbon emission allowances, and global green bonds. Using daily data, we apply a cross-quantilogram approach in a time-varying setting to measure potential differences in the predictability across quantiles and over various crisis periods. The return predictability results are more pronounced for transition risk than physical risk, especially for brown energy stocks and carbon emission allowances, and they generally vary across periods and markets conditions. The predictability of volatility is also significant at specific time periods and volatility states, especially from transition risk, and the sign of the predictability is positive for brown energy and carbon emission allowances whereas it is negative for green bonds. We show that a lower-than-expected level of discussion about the transition process leads to a heightened volatility of brown energy markets. These findings have important implications regarding climate risks assessment on return and volatility predictability and climate risk and portfolio decarbonization under COP26. © 2023 Elsevier Inc.
Ключевые слова: CARBON EMISSION ALLOWANCES
CROSS-QUANTILOGRAM
EUROPEAN MARKETS
GREEN AND BROWN ENERGY
GREEN BONDS
PHYSICAL AND TRANSITION RISK
QUANTILE DEPENDENCY AND PREDICTABILITY
CARBON
INVESTMENTS
POWER MARKETS
CARBON EMISSION ALLOWANCE
CARBON EMISSIONS
CROSS-QUANTILOGRAM
EMISSION ALLOWANCES
ENERGY
EUROPEAN MARKETS
GREEN AND BROWN ENERGY
GREEN BOND
PHYSICAL AND TRANSITION RISK
QUANTILE DEPENDENCY AND PREDICTABILITY
RISK ASSESSMENT
CARBON EMISSION
CLIMATE EFFECT
ENERGY MARKET
ENVIRONMENTAL ECONOMICS
FINANCIAL MARKET
PREDICTION
EUROPE
URI: http://elar.urfu.ru/handle/10995/130595
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор SCOPUS: 85163758276
Идентификатор WOS: 001026118700001
Идентификатор PURE: 41531287
ISSN: 0040-1625
DOI: 10.1016/j.techfore.2023.122682
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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