This study conducted a systematic review regarding the association between cryptocurrency and the stock market. This study used bibliometric and content analysis covering 151 articles from 2008 to November 2021. Using VOSviewer software, we explored the influential aspects of the literature, such as the prominent institutions, authors, countries, and journals. Additionally, we performed co-authorship, bibliographic coupling, and co-occurrence of keywords to understand the network. Furthermore, in the content analysis, we discussed key findings of four major research streams that we identified. Finally, we present seven research questions that can be explored in the future. The findings have a number of implications for the present state of the literature on cryptocurrency and the stock market, including study gaps and potential future research initiatives.
1 January 2020 in Quantitative Finance and Economics
This study attempts to investigate how the spread of coronavirus (COVID-19) influence the UK economic policy uncertainty. Using daily data ranging from 11 March 2020 to 7 May 2020, an ARDL model has been applied in this study to capture both the short-run and long-run impact of COVID-19 on economic policy uncertainty. Additionally, the influence of Brent oil price on economic policy uncertainty is also examined. Based on the ARDL result, it is found that both COVID-19 new cases and new deaths reported in the UK have a strong and positive association with the UK economic policy uncertainty in the long-run. However, Brent oil price shows an inverse connection with economic policy uncertainty in the long run.
The purpose of this paper is to investigate the bank-specific and macroeconomic determinants of commercial banks profitability operating in Bangladesh to explore the role of both internal and external factors in achieving high profitability. The fixed effect model is built on a balanced panel data set comprising 135 observations of 27 commercial banks over the period 2014-2018. Regression findings reveal that size and capital ratio are significant bank-specific determinants of bank profitability in Bangladesh where the effect of loans ratio is statistically insignificant. Findings also suggest that banks with higher deposits tend to be more profitable, and small banks have efficient management. The cost-to-income ratio and loan loss provisions are statistically insignificant on the performance of banks. On the other hand, macroeconomic variables such as GDP growth have a significant impact on profitability whereas the effects of inflation on profitability are statistically insignificant in some cases.
Economic Policy Uncertainty (EPU) is the level of uncertainty or unpredictability arising from government policy on topics such as taxes, trade, monetary policy, and regulation. Exploring the relationship between EPU and insurance premiums can provide insights into broader economic trends and policy decisions. EPU is often driven by political and economic events, and understanding its impact on insurance premiums can provide valuable information about how policy decisions and other external factors can affect the insurance industry and the broader economy. To understand the impact of EPU, this research examines the nexus between EPU and insurance premiums across 22 countries from 1996 to 2020. By applying panel cointegration tests, and the PMG-ARDL regression, it is found a periodical (both short-term and long-term) influence of EPU on insurance premiums. Additionally, it is revealed that EPU has a longer-term consequence on insurance premiums than it does in the short run. Also, EPU has a greater role in life insurance than non-life insurance. The results are consistent when robustness techniques (FMOLS and DOLS) are applied. The findings of the article have major implications for the government, policymakers, insurance authorities, and other relevant stakeholders.
5 November 2024 in Journal of Economic and Administrative Sciences
Purpose: This is the first attempt to investigate the impact of information and communication technology (ICT) on the risk-taking behavior of banks.Design/methodology/approach: This study considers 74 advanced, developing and emerging countries in the period of 2010–2021. The study considers internet use, mobile subscriptions, broadband access and ATM availability as ICT indicators, while using bank Z_score as a proxy for risk-taking. To get comprehensive insights, pooled OLS, fixed effect models and generalized methods of moments (GMM) are applied.Findings: It is found that ICT has a consistently positive influence on the risk-taking behavior of banks in advanced, developing and emerging countries. Notably, internet users and broadband access have a bigger impact in advanced economies, but mobile cellular subscriptions and ATMs are more significant in developing and emerging countries. Other factors, such as GDP growth and market capitalization, positively influence the bank’s risk-taking approaches, but the cost-to-income ratio and inflation have an inverse connection.Practical implications: This will provide useful advice to the government, bank executives, financial regulators, policymakers, regulators, academicians, technology developers and other relevant stakeholders who want to maximize the advantages of ICT in the banking sector while reducing related risks.Originality/value: This is the first study to examine the impact of ICT on banks’ risk-taking approaches in advanced, developing and emerging countries.