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      Time and frequency domain connectedness and spill-over among fintech, green bonds and cryptocurrencies in the age of the fourth industrial revolution

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          Highlights

          • The time and frequency domain connectedness and spillover are among Fintech, green bonds, and cryptocurrencies.

          • Portfolios consisting of the assets with heavy-tail dependence.

          • Volatility transmission is higher in the short term.

          • Gold and oil, as well as the modern age asset, green bonds, turn useful as good hedgers as compared to other assets.

          • Fintech index and general equity indexes are not good hedging instruments for each other.

          Abstract

          The study in the age of the 4th industrial revolution examines the time and frequency domain connectedness and spill-over among Fintech, green bonds, and cryptocurrencies. Using daily data from November 2018 to June 2020, we use both DY (Diebold & Yilmaz, 2012) and BK (Baruník et al., 2017) to examine the volatility connectedness of returns series. The results of DY suggest that, first, the total connectedness of 21st century technology assets and traditional common stocks is very high, and hence in the turbulent economy, there is a high probability of contemporaneous losses. Second, Bitcoin, MSCIW, MSCI US, and KFTX are net contributors of volatility shocks whereas US dollar, oil, gold, VIX, green bond and green bond select are net receivers. Therefore, Fintech and common equities are not good hedging instruments in the same portfolio. Third, the short-term witnesses higher volatility transmission than the long-term. That is, holding assets for a long-term is likely to mitigate risks whereas trading financial assets in the short-term can increase risk because of higher volatility. Fourth, the traditional assets, gold and oil, as well as modern assets, green bonds, are useful as good hedgers compared with other assets because shock transmissions from them to Fintech, KFTX are below 0.1% and, more importantly, the total volatility spill-over of all assets in the sample is moderately average, accounting for 44.39%.

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          Most cited references71

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          Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation

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            Better to give than to receive: Predictive directional measurement of volatility spillovers

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              Generalized impulse response analysis in linear multivariate models

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                Author and article information

                Journal
                Technol Forecast Soc Change
                Technol Forecast Soc Change
                Technological Forecasting and Social Change
                Elsevier Inc.
                0040-1625
                0040-1625
                16 October 2020
                January 2021
                16 October 2020
                : 162
                : 120382
                Affiliations
                [a ]The University of Sydney, Business School, Australia
                [b ]University of Finance-Marketing, Vietnam
                [c ]The University of Adelaide, Business School, Australia
                [d ]Rajagiri Business School, Rajagiri Valley Campus, Kochi, India
                Author notes
                [* ]Corresponding author.
                Article
                S0040-1625(20)31208-7 120382
                10.1016/j.techfore.2020.120382
                7566767
                33100414
                7b4d9ccb-7405-4287-a214-a8d959bfb102
                © 2020 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 28 July 2020
                : 29 September 2020
                : 1 October 2020
                Categories
                Article

                fourth industrial revolution,portfolio diversification,fintech,green bonds,equity and other prices

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