Dynamic connectedness in the higher moments between clean energy and oil prices

Focusing on clean energy stocks and oil prices, we find that connectedness between these assets not only exists in volatility, but also at higher-order moments, such as skewness and kurtosis, which have been largely under studied in the existing literature. Estimating the connectedness using intra-day data, our initial static analyses suggest that the connectedness between the clean energy and oil markets is heterogenous across the moments and the shock transmitter/recipient role played by each market varies across moments. Further dynamic analyses indicate that higher-order moment connectedness is also time varying and appears to be stronger during uncertain market conditions. In addition, we identify day-of-the-week patterns of higher-order moment connectedness during high uncertainty periods, but these patterns appear to be reversed during low uncertainty periods. The employment of Markov switching regression models further corroborates the market uncertainties as the determinants of higher-order moment connectedness. As an important extension, we provide empirical evidence that including clean energy stocks in the investment portfolio can effectively hedge oil price risks and considering higher-order moments in constructing investment strategies adds extra value to investors. Our utility-based hedging strategy and minimum connectedness portfolio can offer higher utility gains and better risk-return trade-offs to those investors who are not infinitely risk-averse. • Connectedness between oil and clean energy markets is not only exist in volatility but also at higher-order moments. • Connectedness is heterogenous across the moments and the shock transmitter/recipient role played by each market varies across moments. • Higher-order moment connectedness is time varying and is stronger during uncertain states. • Including clean energy stocks in the investment portfolio can effectively hedge oil price risks. • Considering higher-order moments in constructing investment strategies provides better risk-return trade-off to investors.

Authors

Institutions

Publication Details

Journal
Energy Economics
Published
2024-10-25
DOI
https://doi.org/10.1016/j.eneco.2024.107987
Citations
10
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
11.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic connectedness in the higher moments between clean energy and oil prices

Wei Hao, Linh Pham
10 citations
Energy Economics
Market Dynamics and Volatility
11.29
article

Dynamic connectedness in the higher moments between clean energy and oil prices

Wei Hao, Linh Pham
article en
10 citations

Abstract

Focusing on clean energy stocks and oil prices, we find that connectedness between these assets not only exists in volatility, but also at higher-order moments, such as skewness and kurtosis, which have been largely under studied in the existing literature. Estimating the connectedness using intra-day data, our initial static analyses suggest that the connectedness between the clean energy and oil markets is heterogenous across the moments and the shock transmitter/recipient role played by each market varies across moments. Further dynamic analyses indicate that higher-order moment connectedness is also time varying and appears to be stronger during uncertain market conditions. In addition, we identify day-of-the-week patterns of higher-order moment connectedness during high uncertainty periods, but these patterns appear to be reversed during low uncertainty periods. The employment of Markov switching regression models further corroborates the market uncertainties as the determinants of higher-order moment connectedness. As an important extension, we provide empirical evidence that including clean energy stocks in the investment portfolio can effectively hedge oil price risks and considering higher-order moments in constructing investment strategies adds extra value to investors. Our utility-based hedging strategy and minimum connectedness portfolio can offer higher utility gains and better risk-return trade-offs to those investors who are not infinitely risk-averse. • Connectedness between oil and clean energy markets is not only exist in volatility but also at higher-order moments. • Connectedness is heterogenous across the moments and the shock transmitter/recipient role played by each market varies across moments. • Higher-order moment connectedness is time varying and is stronger during uncertain states. • Including clean energy stocks in the investment portfolio can effectively hedge oil price risks. • Considering higher-order moments in constructing investment strategies provides better risk-return trade-off to investors.

Energy EconomicsVol. 140
Lake Forest College (US), Massey University (NZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Market Dynamics and Volatility
11.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.