Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
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Article Citation - WoS: 147Citation - Scopus: 159Investigating the Spillovers and Connectedness Between Green Finance and Renewable Energy Sources(Pergamon-Elsevier Science Ltd, 2022-09) Dogan, Eyup; Madaleno, Mara; Taskin, Dilvin; Tzeremes, PanayiotisAlthough a few studies have analyzed the nexus of renewable energy and green finance, the literature lacks the use of renewable energy by sources. The other major failure is that it uses only annual and small data. Therefore, this study investigates the connectedness and spillovers relationship between green finance and five types of renewable energy (biofuels, fuel cell, geothermal, solar, and wind) by applying the novel TVP-VAR method of Balcilar et al. [1] to the daily indexes from July 31, 2014, to Feb 4, 2022. The results show that dynamic connectedness, both total and pairwise, is heterogeneous over time and influenced by economic events. Furthermore, wind is found to be the largest transmitter of shocks to green finance, followed by biofuels, while both fuel cell and geothermal receive the least shocks. The findings suggest that green finance is mostly a net receiver of shocks from renewable energy sources and that wind has been a net receiver of shocks during the COVID-19 pandemic. A high interconnectedness between the indexes highlights the safe-haven property for diversification purposes of green finance. Our results are important for energy policymakers, those responsible for the implementation of environmental policies, individual investors, and portfolio managers, while also shedding light on the achievement of COP26 goals.Article Citation - WoS: 11Citation - Scopus: 14Connectedness and Spillovers in the Innovation Network of Green Transportation(Elsevier Sci Ltd, 2023-09) Inglesi-Lotz, R.; Dogan, Eyup; Nel, J.; Tzeremes, PanayiotisGreener alternatives for fuelling automobiles, such as hydrogen transport and electric vehicles, have shown considerable promise in transportation. Many others are sceptical of the growing enthusiasm for these new technologies, believing that energy storage technologies and management are insufficient for a complete shift. Such a network of variables and smart grid technologies that can help with the transition may reveal some systemic hazards linked with financial institutions, company risk and failure, and so on. This study attempts to characterise spillovers and connections between the indices of green transportation, smart grid, innovative materials, energy storage, and energy management globally. To do this, we employ a novel strategy developed by Balcilar et al. (2021) as well as a robustness check using the well-known Diebold and Yilmaz (2012) method. The study highlights the sub-systemic sector's connections, giving policymakers insights into instruments to support financial market sustainability and stability. It would be critical to separate the impact of these indicators, but given the intrinsic relationship, this would be nearly impossible. The transportation innovation network is not rigid and established in its interconnection. The role of indicators shifts from transmitting to absorbing shocks regularly, and policymakers who want to encourage long-term solutions must be aware of this.Article Citation - WoS: 102Citation - Scopus: 112Analysis of the Spillover Effects Between Green Economy, Clean and Dirty Cryptocurrencies(Elsevier, 2023-04) Sharif, Arshian; Brahim, Mariem; Dogan, Eyup; Tzeremes, PanayiotisCryptocurrencies have been widely used as financial instruments over the past decade. Given the development of the cryptocurrency market and the increasing awareness of greener and more energy-efficient tokens, their connection to the green economy has become a popular topic for understanding economic and policy issues. However, the literature still lacks clear evidence on how cryptocurrencies interact with green economy in-dicators. Therefore, this study examines the correlations and spillover relationships between green economy indices, five black cryptocurrencies, and five clean cryptocurrencies for the U.S., Euro, and Asian markets. To this end, it applies the novel quantile spillover index approach of Ando et al. (2018) to daily data from November 9, 2017, to April 4, 2022. The empirical results show that the overall linkage is stronger for green economy indices and clean cryptocurrencies than for dirty cryptocurrencies. Moreover, green economy indices show net receiving behavior, while cryptocurrencies' results differ across variables, quantiles, and time. In addition, a notable point for clean cryptocurrencies is 2020, which was the start of the COVID-19 pandemic. The overall spillover effect is very high for all quantiles for the three markets, especially for Asia. This outcome signifies the safe harbor property for diversification purposes of the green economy. The results presented in this study are important for investors, regulators and, policymakers, cryptocurrency founders as they seek to be financially integrated and develop a more sustainable business.