Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Balli FSubject: search.filters.subject.Dynamic connectedness

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    Exploring the dynamic links, implications for hedging and investment strategies between Sukuk and commodity market volatility: Evidence from country level analysis
    (Elsevier Inc, 2024-06) Billah M; Hadhri S; Balli F; Sahabuddin M
    This research paper examines the influence of spillovers between volatility of commodities (including soft commodities, precious metals, industrial metals, along with energy) and returns of sukuk. Using a notable sample of fifteen sukuk country indices and sixteen products, we examine the time-varying criterion vector autoregression (TVP-VAR) based extended joint connectedness method and contribute to the correlation analysis literature by supplying a comprehensive as well as policy-oriented analysis of the connection between sukuks and also commodities. Our results disclose that the system-wide dynamic connectedness is slowly heterogeneous and driven by financial occasions. Next, we look at the potential determinants of connectivity between sukuk and commodity markets, we find that global risk factors significantly impact the degree of spillovers between markets. In particular, the negative impacts of risk factors on spillovers suggest that some risk-mitigating properties may be related to market leverage in the composite portfolio in bear market conditions. In addition, our results, using hedging efficiency and the Sharpe ratio, confirm the hypothesis of diversification opportunities between markets that leverage dynamic connectivity networks.
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    Contemporaneous and lagged 𝑅2 decomposed connectedness approach: New evidence from the energy futures market
    (Elsevier Inc, 2023-11) Balli F; Balli HO; Dang THN; Gabauer D
    In this study, we investigate the return propagation mechanism across six energy futures, namely, Crude Oil, Heating Oil, Gasoline, Natural Gas, Kerosene, and Propane ranging from November 21st, 2014 until April 6th, 2023 by using a novel R2 decomposed connectedness approach. This framework allows to efficiently decompose connectedness measures into contemporaneous and lagged components. We find that the dynamic total connectedness is heterogeneous over time and economic-event dependent. Furthermore, the empirical results highlight that the contemporaneous effects are more pronounced on average while a significant amount of lagged spillovers occur in the case of Kerosene and Propane. We find that Heating Oil is the main net transmitter of shocks followed by Gasoline and Crude Oil while the main net receiver of shocks is Kerosene followed by Propane and Natural Gas. Finally, robust R2 connectedness measures are provided.