Higher moments interaction between the US treasury yields, energy assets, and green cryptos: Dynamic analysis with portfolio implications

Document Type

Article

Source of Publication

Energy Economics

Publication Date

11-1-2024

Abstract

We examine how the US treasury yields are connected with traditional energy and green cryptocurrencies in higher moments. For this purpose, we first compute the US treasury yield curve's Level, Slope, and Curvature based on different maturities from October 2017 to December 2023 and then apply the TVP-VAR model on return, volatility, Skewness, and Kurtosis measures. We find that returns are the most connected compared with the higher moments. The dynamic connectedness represents distinct spikes in each moment's case, sharing patterns during the 2017 crypto rally, the COVID-19 outburst in 2020, and the Russia-Ukraine war eruption in 2022. Despite being the leading shock transmitters, green cryptocurrencies share weak connections in the higher moments, making them suitable diversifiers in turbulent times. We also compute minimum variance, minimum connectedness, and minimum correlation portfolios and their hedging effectiveness. Green cryptos significantly reduce variance in traditional energy portfolios, which is evident from their high hedging effectiveness. The connectedness patterns support the Global Financial Cycle Hypothesis, showing integration in extreme market conditions, partly affected by the US treasury yields. We discuss the important implications of these findings for portfolio managers and policymakers.

ISSN

0140-6181

Publisher

Elsevier

First Page

108077

Last Page

108077

Disciplines

Business

Keywords

US Treasury yields, energy assets, green cryptocurrencies, portfolio implications, dynamic analysis

Indexed in Scopus

no

Open Access

no

Link to Full Text

Share

COinS