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Return and volatility spillovers between Chinese and US clean energy related stocks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F22%3A10447670" target="_blank" >RIV/00216208:11230/22:10447670 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31110/22:00057781

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i4z75w2Pt-" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=i4z75w2Pt-</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.eneco.2022.105911" target="_blank" >10.1016/j.eneco.2022.105911</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Return and volatility spillovers between Chinese and US clean energy related stocks

  • Original language description

    This paper aims to empirically investigate the dynamic connectedness between oil prices and stock returns of clean energy-related and technology companies in China and U.S. financial markets. We apply three multivariate GARCH model specifications (CCC, DCC and ADCC) to investigate the return and volatility spillovers among price and return series. We use rolling window analysis to forecast out-of-sample one-step-ahead dynamic conditional correlations and time-varying optimal hedge ratios. Our results suggest that Invesco China Technology ETF (CQQQ) is the best asset to hedge Chinese clean energy stocks followed by WTI, ECO, and PSE. Our results are reasonably robust to the choice of different model refits and forecast length of rolling window analysis. Our empirical findings provide investors and policymakers with the systematic understanding of return and volatility connectedness between China and U.S. clean energy stock markets.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50201 - Economic Theory

Result continuities

  • Project

    <a href="/en/project/GX19-26812X" target="_blank" >GX19-26812X: Frontiers in Energy Efficiency Economics and Modelling - FE3M</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Energy Economics

  • ISSN

    0140-9883

  • e-ISSN

    1873-6181

  • Volume of the periodical

    108

  • Issue of the periodical within the volume

    April 2022

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    12

  • Pages from-to

    105911

  • UT code for WoS article

    000795562300006

  • EID of the result in the Scopus database

    2-s2.0-85125677679