Asymmetric dynamics between geopolitical conflict sentiment and cryptomarkets DOI
Emmanuel Joel Aikins Abakah, Mohammad Abdullah, Aviral Kumar Tiwari

et al.

Research in International Business and Finance, Journal Year: 2024, Volume and Issue: 69, P. 102273 - 102273

Published: Feb. 9, 2024

Language: Английский

Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale DOI
Sana Gaied Chortane, Dharen Kumar Pandey

The Journal of Economic Asymmetries, Journal Year: 2022, Volume and Issue: 26, P. e00265 - e00265

Published: Aug. 2, 2022

Language: Английский

Citations

133

Does fintech innovation promote enterprise transformation? Evidence from China DOI Creative Commons
Sumei Luo,

Yongkun Sun,

Fan Yang

et al.

Technology in Society, Journal Year: 2021, Volume and Issue: 68, P. 101821 - 101821

Published: Nov. 19, 2021

In the context of China's slowing economic growth and rapid development fintech, it is practical significance to study impact fintech on transformation Chinese enterprises sustainable development. We use data 2064 listed in China from 2012 2018 based DEA Malmquist model calculate total factor productivity entities. The index was constructed by using text mining method analysis test relationship between innovation enterprise transformation. results show that effectively improves real enterprises, promotes transformation, upgrades economy. influence entity mainly through two mechanisms: information effect resource allocation effect. Further research finds heterogeneity absorption capacity large state-owned small medium-sized private promotion fintech. addition, are obviously stronger than enterprises.

Language: Английский

Citations

122

Machine learning sentiment analysis, COVID-19 news and stock market reactions DOI Creative Commons
Michele Costola, Oliver Hinz,

Michael Nofer

et al.

Research in International Business and Finance, Journal Year: 2023, Volume and Issue: 64, P. 101881 - 101881

Published: Jan. 1, 2023

The recent COVID-19 pandemic represents an unprecedented worldwide event to study the influence of related news on financial markets, especially during early stage when information new threat came rapidly and was complex for investors process. In this paper, we investigate whether flow had impact forming market expectations. We analyze 203,886 online articles dealing with published three platforms (MarketWatch.com, NYTimes.com, Reuters.com) in period from January June 2020. Using machine learning techniques, extract sentiment through a market-adapted BERT model that enables recognizing context each word given item. Our results show there is statistically significant positive relationship between scores S&P 500 market. Furthermore, provide evidence components categories NYTimes.com were differently returns.

Language: Английский

Citations

82

Safe haven properties of green, Islamic, and crypto assets and investor's proclivity towards treasury and gold DOI
Syed Kumail Abbas Rizvi, Bushra Naqvi, Nawazish Mirza

et al.

Energy Economics, Journal Year: 2022, Volume and Issue: 115, P. 106396 - 106396

Published: Nov. 1, 2022

Language: Английский

Citations

76

Volatility impacts on global banks: Insights from the GFC, COVID-19, and the Russia-Ukraine war DOI Creative Commons
Jonathan A. Batten, Sabri Boubaker, Harald Kinateder

et al.

Journal of Economic Behavior & Organization, Journal Year: 2023, Volume and Issue: 215, P. 325 - 350

Published: Sept. 28, 2023

Language: Английский

Citations

43

Dynamic spillovers and portfolio risk management between defi and metals: Empirical evidence from the Covid-19 DOI
Shoaib Ali, Muhammad Ijaz, Imran Yousaf

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 83, P. 103672 - 103672

Published: May 19, 2023

Language: Английский

Citations

42

Extreme connectedness between NFTs and US equity market: A sectoral analysis DOI Creative Commons
Shoaib Ali, Muhammad Umar, Mariya Gubareva

et al.

International Review of Economics & Finance, Journal Year: 2024, Volume and Issue: 91, P. 299 - 315

Published: Jan. 18, 2024

This study examines the returns connectedness between NFTs and US sector stock markets. For this purpose, we use recently developed technique of quantile-based regression to explore dependence structure under various conditions. Our results support view that sectoral markets is characterized by asymmetry heterogeneity in extreme conditions compared median quantile mean-based approach. Under normal conditions, all except ENJ are net recipients return spillover from markets, whereas, financial, consumer staple, industrial stocks major transmitters system. However, observe at both tails, as act transmitter (recipient) higher(lower) quantiles. confirms asymmetric structure. We also compute static optimal weights hedge ratios using TVP-VAR model for stocks/NFTs portfolios show investors portfolio managers may consider including their holdings achieve diversification benefits.

Language: Английский

Citations

18

Assessing the impact of renewable energy tokens on BRICS stock markets: A new diversification approach DOI
Shoaib Ali,

Muhammad Umar,

Muhammad Naveed

et al.

Energy Economics, Journal Year: 2024, Volume and Issue: 134, P. 107523 - 107523

Published: April 4, 2024

Language: Английский

Citations

16

Investor sentiment and its implication on global financial markets: a systematic review of literature DOI
Prince Kumar Maurya, Rohit Bansal, Anand Kumar Mishra

et al.

Qualitative Research in Financial Markets, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Purpose This study aims to systematically review the literature on how various factors influence investor sentiment and affect financial markets. also sought present an overview of explored contexts research foci, identifying gaps in setting agenda for future research. Design/methodology/approach The systematic investigation yielded 555 journal articles, with few other exceptional inclusions. data have been extracted from two databases, i.e. Scopus Web Science. For bibliometric analysis, VOSviewer Biblioshiny by R used. period is 1985 July 2023. Findings helped us identify influencing has broadly classified these into categories: rational irrational. Rational include – economics monetary policy, exchange rate, interest rates, inflation, government mandatory regulations, earning announcements, stock-split, dividend decisions, audit quality, environmental, social governance aspects ratings. Irrational behavioural psychological factors, media online talk, news entertainment, geopolitical war events, calendar anomalies, natural disasters, religious events festivals, irrationality caused due government/supervisory body corporate events. Using this developed model. In addition, identified trends, methodology, techniques used researchers. Originality/value comprehensively explains stock market using It further proposes extensive agenda. implications participants.

Language: Английский

Citations

2

COVID-19 and finance scholarship: A systematic and bibliometric analysis DOI Open Access
Sabri Boubaker, John W. Goodell, Satish Kumar

et al.

International Review of Financial Analysis, Journal Year: 2022, Volume and Issue: 85, P. 102458 - 102458

Published: Nov. 19, 2022

Language: Английский

Citations

67