Comparison of the asymmetric multifractal behavior of green and US bonds against benchmark financial assets
The paper examines asymmetric multifractal dynamics and cross-correlations between green bonds and benchmark assets for enhanced portfolio risk management.
What it examines
This study explores the multifractal and asymmetric behaviors of green bonds compared to conventional bonds and key financial assets during economic shocks. Using linear and nonlinear correlation tests, dynamic conditional correlation models, and multifractal analysis, the research aims to clarify green bonds’ risk, resilience, and diversification potential.
What it concludes
The study finds that green bonds exhibit lower multifractality and distinct asymmetric behaviors, offering strong hedging and diversification benefits during volatility. Applications include improved risk management, portfolio optimization, and asset pricing strategies. Future research should extend to more markets and apply high-frequency data analysis.
Evidence objects
A study reveals green bonds exhibit unique upward trends and reduced multifractality during volatile periods, differing from U.S., high-yield, and key benchmark assets including Euro, Gold, Bitcoin, and Dow Jones.
key_findings bullet 1 · key_findings · validation V0
MFADCCA, dynamic conditional correlation, and Fourier surrogate analysis reveal green bond pairs with Bitcoin and Dow Jones demonstrate persistent positive trends, indicating robust diversification and hedging potential amid global crises.
key_findings bullet 2 · key_findings · validation V0
Introducing innovative, refined asymmetric multifractal measures, the study isolates distribution effects from correlation dynamics and offers fresh portfolio optimization insights, based on a comprehensive 2012--2023 dataset enhancing sustainable finance guidance.
key_findings bullet 3 · key_findings · validation V0
The paper innovatively applies asymmetric multifractal analysis to green and US bonds, addressing market shocks and sustainability trends. Its comparative evaluation across benchmark assets yields compelling insights for risk management. Although it employs established techniques like dynamic correlation, the novel application to green bonds offers a significantly timely, intriguing perspective.
key_findings bullet 4 · key_findings · validation V0
Raw abstract and provenance
- … , financial portfolio managers lack a solid basis for building a reliable risk management … may be advantageous to portfolio risk management strategies, especially during …
Source row: 435 · abstract type: snippet