Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на этот ресурс:
http://elar.urfu.ru/handle/10995/130595
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 |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
2-s2.0-85163758276.pdf | 2,62 MB | Adobe PDF | Просмотреть/Открыть |
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.