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  1. AU="Rashidi, Muhammad Mahdi"
  2. AU="Gryton, Igal"
  3. AU="Carvajal, Zaira Y García"
  4. AU="Li, Kaixun"
  5. AU="Khuituan, Pissared"
  6. AU="L.Milano, "
  7. AU="Chandramouli, Vaishnavi"
  8. AU="Jose Luis Lavín"
  9. AU="Csályi, Kitti"
  10. AU="Orobello, Nicklas C"
  11. AU=Kim Chang H.
  12. AU="Livingston, Abel"
  13. AU="DeKoven, Mitchell P"
  14. AU="Kubota, Katsumi"

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  1. Artikel: Quantiles dependence and dynamic connectedness between distributed ledger technology and sectoral stocks: enhancing the supply chain and investment decisions with digital platforms.

    Ghaemi Asl, Mahdi / Adekoya, Oluwasegun B / Rashidi, Muhammad Mahdi

    Annals of operations research

    2022  , Seite(n) 1–30

    Abstract: Distributed Ledger Technology (DLT) is highly applicable in various fields, especially the supply chain in many sectors. Against limited empirical evidence, this paper analyzes the relations between the Kensho Distributed Ledger Technology Index and ... ...

    Abstract Distributed Ledger Technology (DLT) is highly applicable in various fields, especially the supply chain in many sectors. Against limited empirical evidence, this paper analyzes the relations between the Kensho Distributed Ledger Technology Index and stock indices of 12 sectors, including communication services, consumer discretionary, consumer staples, energy, health care, financials, industrials, information technology, materials, utilities, and real estate, and ESG by employing the quantile coherency and dynamic connectedness techniques. Our results reveal that the quantile coherency between the DLT stock index and the sectoral stock indices in almost all cases is significant and positive. The positive co-movement tends to be stronger in the longer terms and as we move from the lower to the higher quantiles, implying that they are more strongly connected in the long term and during the bearish market condition. Moreover, the dynamic connectedness indicates that the DLT stocks and the sectoral stocks are highly connected, with the former being a net transmitter of spillover shocks. The spillovers are also time-varying, and the results significantly corroborate those of the quantiles coherency methods. Among other relevant implications, DLT can be an important factor in the development and enhancement of these sectors.
    Sprache Englisch
    Erscheinungsdatum 2022-08-17
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 0254-5330
    ISSN 0254-5330
    DOI 10.1007/s10479-022-04882-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Sector-by-sector analysis of dependence dynamics between global large-cap companies and infectious diseases: A time-varying copula approach in EBOV and COVID-19 episodes.

    Ghaemi Asl, Mahdi / Tavakkoli, Hamid Reza / Rashidi, Muhammad Mahdi

    PloS one

    2021  Band 16, Heft 11, Seite(n) e0259282

    Abstract: Infectious diseases and widespread outbreaks influence different sectors of the economy, including the stock market. In this article, we investigate the effect of EBOV and COVID-19 outbreaks on stock market indices. We employ time-varying and constant ... ...

    Abstract Infectious diseases and widespread outbreaks influence different sectors of the economy, including the stock market. In this article, we investigate the effect of EBOV and COVID-19 outbreaks on stock market indices. We employ time-varying and constant bivariate copula methods to measure the dependence structure between the infectious disease equity market volatility index (IEMV) and the stock market indices of several sectors. The results show that the financial and communication services sectors have the highest and the lowest negative dependency on IEMV during the Ebola virus (EBOV) pandemic, respectively. However, the health care and energy sectors have the highest and lowest negative dependency on IEMV during the COVID-19 outbreak, respectively. Therefore, the results confirm the heterogeneous time-varying dependency between infectious diseases and the stock market indices. The finding of our study contributes to the ongoing literature on the impact of disease outbreaks, especially the novel coronavirus outbreak on global large-cap companies in the stock market.
    Mesh-Begriff(e) COVID-19/economics ; Commerce ; Cost of Illness ; Disease Outbreaks/economics ; Ebolavirus ; Hemorrhagic Fever, Ebola/economics ; Humans ; Time
    Sprache Englisch
    Erscheinungsdatum 2021-11-03
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0259282
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Green bond vs. Islamic bond: Which one is more environmentally friendly?

    Ghaemi Asl, Mahdi / Rashidi, Muhammad Mahdi / Tiwari, Aviral Kumar / Lee, Chi-Chuan / Roubaud, David

    Journal of environmental management

    2023  Band 345, Seite(n) 118580

    Abstract: This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four ...

    Abstract This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four Islamic bond indices, including A-, AA-, AAA-, and BBB-graded Sukuk Indices. In the long- and medium-term, the dependence of CE and CT on Sukuk and green bond indices strengthens under normal or bearish market conditions based on quantile cross-spectral (coherency). Overall, among all alternative financing instruments, AA- and A-rated Sukuk indices and GBS indices have higher coherency with CE and CT. Furthermore, the direction of causality in the frequency domain is most commonly observed from Sukuk and bond indices to CT and CE. Once again, AA-rated, A-rated, and GBS have more significant causality effects on CT and CE for nearly all frequencies compared to other indices. These results present vital implications for both policymakers who want to advocate the development of environmentally friendly projects and investors who want to invest their capital in green economic activities in terms of diversifying and hedging their investments.
    Mesh-Begriff(e) Investments ; Economic Development
    Sprache Englisch
    Erscheinungsdatum 2023-08-03
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118580
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Green bond vs. Islamic bond: Which one is more environmentally friendly?

    Ghaemi Asl, Mahdi / Rashidi, Muhammad Mahdi / Tiwari, Aviral Kumar / Lee, Chi-Chuan / Roubaud, David

    Journal of Environmental Management. 2023 Nov., v. 345 p.118580-

    2023  

    Abstract: This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four ...

    Abstract This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four Islamic bond indices, including A-, AA-, AAA-, and BBB-graded Sukuk Indices. In the long- and medium-term, the dependence of CE and CT on Sukuk and green bond indices strengthens under normal or bearish market conditions based on quantile cross-spectral (coherency). Overall, among all alternative financing instruments, AA- and A-rated Sukuk indices and GBS indices have higher coherency with CE and CT. Furthermore, the direction of causality in the frequency domain is most commonly observed from Sukuk and bond indices to CT and CE. Once again, AA-rated, A-rated, and GBS have more significant causality effects on CT and CE for nearly all frequencies compared to other indices. These results present vital implications for both policymakers who want to advocate the development of environmentally friendly projects and investors who want to invest their capital in green economic activities in terms of diversifying and hedging their investments.
    Schlagwörter capital ; clean energy ; economic sustainability ; environmental management ; markets ; Sukuk ; Green bond ; Clean technology
    Sprache Englisch
    Erscheinungsverlauf 2023-11
    Erscheinungsort Elsevier Ltd
    Dokumenttyp Artikel ; Online
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118580
    Datenquelle NAL Katalog (AGRICOLA)

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