Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies

Gaies, Brahim; Nakhli, Mohamed Sahbi; Sahut, Jean Michel; Guesmi, Khaled

doi:10.1016/j.techfore.2021.121038

Cited by 47 publications

(30 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the PB drops roughly at the same level in response to a positive and negative change of VIX in the short run (βVIX−+ ∼ −0.5), indicating that Bitcoin can indeed play an important role in hedging the stock market bubbles. This inverse linkage between stock price and the cryptocurrencies values has also been empirically supported by, among others, Gaies et al. (2021) and Jareño et al.…”

Section: Empirical Results and Discussionsupporting

confidence: 63%

Asymmetric determinants of Bitcoin's wild price movements

Benlagha

Hemrit

2022

View full text Add to dashboard Cite

PurposeThe present work endeavors to explore the potential nonlinear and asymmetric effects of supply fundamental properties of Bitcoin mining process (velocity, size and stock of Bitcoins, cost of production and mining revenue), DJIA, VIX, economic policy uncertainty and Google Trend on the price of Bitcoin (PB).Design/methodology/approachThe authors apply the Nonlinear Autoregressive Distributed lag (NARDL) approach for the period from November 31, 2013 to December 30, 2020.FindingsThe asymmetric effects of inflation, the size of Bitcoin economy, reveal a positive impact on the PB in the short and long run. In the short run, Bitcoin price shows negative statistically significant sensitivity to positive (negative) changes in DJIA (VIX) index. In addition, Google Trends have an impact on Bitcoin prices indicating that the Bitcoin market is also driven by investors' sentiments. In the long run, negative policy uncertainty shocks increase the PB while in the short run, negative shocks decrease it.Originality/valueThe authors give credence to the best ways of understanding the existence of asymmetries in the link between the PB and a number of influential macro-finance variables to improve the appropriate asset allocation and portfolio management.

show abstract

Section: Empirical Results and Discussionsupporting

confidence: 63%

Asymmetric determinants of Bitcoin's wild price movements

Benlagha

Hemrit

2022

View full text Add to dashboard Cite

show abstract

“…The appropriate method used in this study to analyze short- and long-term asymmetric relationships between variables is nonlinear autoregressive distributed lag (NARDL). The NARDL model introduced by Shin et al (2014) works best when the variable integration order is in the level or first order and no variables belong to the second order integration ( Gaies et al, 2021 ; Ghosh and Parab, 2021 ; Xia et al, 2022 ). Moreover, bound testing approach employed later in the study as it provides the best results with small sample sizes ( Granger and Yoon, 2002 ; Narayan, 2005 ).…”

Section: Methodsmentioning

confidence: 99%

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Wu¹,

Ali

Zhang

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

The contribution of women to China’s economic growth and development cannot be overemphasized. Women play important social, economic, and productive roles in any economy. China remains one of the countries in the world with severe gender inequality and sex ratio at birth (SRB) imbalance. Severe gender inequality and disenfranchisement of girls with abnormally high sex ratios at birth reflect deep-rooted sexism and adversely affect girls’ development. For China to achieve economic growth, women should not be ignored and marginalized so that they can contribute to the country’s growth, but the sex ratio at birth needs to be lowered because only women can contribute to growth. Thus, this study empirically predicts an asymmetric relationship between gender inequality, sex ratio at birth and economic growth, using NARDL model over the period 1980–2020. The NARDL results show that increases in gender inequality and sex ratio at birth significantly reduce economic growth in both the short and long term, while reductions in gender inequality and sex ratio at birth significantly boost economic growth in both the short and long term. Moreover, the results show the significant contribution of female labor force participation and female education (secondary and higher education) to economic growth. However, infant mortality rate significantly reduced economic growth. Strategically, the study recommends equal opportunities for women in employment, education, health, economics, and politics to reduce gender disparities and thereby promote sustainable economic growth in China. Moreover, policymakers should introduce new population policy to stabilize the sex ratio at birth, thereby promoting China’s long-term economic growth.

show abstract

“…However, there are several critical issues linked to the correct integration of big data in business processes, think about the lack of trust of users towards technology (Gaies et al , 2021) or the role of the human component in managing the entire life cycle of big data, therefore the ability to know how to collect, select data, extracting relevant information and knowledge (McAfee et al , 2012). This last issue can be investigated and “resolved” using a strategic approach to the use of big data.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Value co-creation and data-driven orientation: reflections on restaurant management practices during COVID-19 in Italy

Polese

Botti

Monda

2022

View full text Add to dashboard Cite

Purpose Covid-19 pandemic impacted the tourism industry worldwide. Especially in catering, where restaurateurs have had to reinvent their business models, information and communication technologies (ICTs) play a fundamental role in supporting these changes, transforming barriers into opportunities. The purpose of this study is to investigate how restaurateurs’ perception of ICTs has changed before and during Covid-19 and to detect whether ICTs can be considered a tool to foster antifragility, resilience and value co-creation as ideal outcomes. Design/methodology/approach This study presents a longitudinal study on the use of ICT platforms by Italian restaurant managers. The case study analyzed is TheFork. Data collection took place in two different rounds: before Covid-19 (year 2017) and during Covid-19 (year 2020). Findings The findings of this study reveal how new rules imposed by the Government changed restaurant managers’ attitudes towards technology. In 2017, restaurateurs showed reticence towards technology, not used in a strategic way; today, everyone uses ICT to improve business. Originality/value The study shows that ICT platforms enable antifragility, resilience and value co-creation, creating a service ecosystem supporting restaurant management.

show abstract

Is Bitcoin rooted in confidence? – Unraveling the determinants of globalized digital currencies

Cited by 47 publications

References 43 publications

Asymmetric determinants of Bitcoin's wild price movements

Asymmetric determinants of Bitcoin's wild price movements

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Value co-creation and data-driven orientation: reflections on restaurant management practices during COVID-19 in Italy

Contact Info

Product

Resources

About