Keyword search (4,163 papers available)

"pandemic" Keyword-tagged Publications:

Title Authors PubMed ID
1 A portrait of online gambling: a look at a transformation amid a pandemic Kairouz S; Savard AC; Murch WS; Dixon MR; Martin NB; Brodeur M; Dauphinais S; Ferland F; Hamel D; Dufour M; French M; Monson E; Van Mourik V; Morvannou A; 40770758
CONCORDIA
2 Relational conflicts during COVID-19: Impact of loss and reduction of employment due to prevention measures and the influence of sex and stress (in the iCARE study) Tremblay N; Leger C; Deslauriers F; Hébert-Auger L; Gosselin-Boucher V; Bacon SL; Dialufuma MV; Lavoie KL; 39148311
HKAP
3 "It would Never have Happened Without the Pandemic": Understanding the Lived Experience of Individuals who Increased Their Online Gambling Participation Savard AC; Kairouz S; Nadeau-Tremblay J; Brodeur M; Ferland F; French M; Morvannou A; Blanchette-Martin N; Dufour M; VanMourik V; Monson E; 39115755
SOCANTH
4 Can anticipatory supply chain decision making manage the pandemic's effect? A regime switching game Mukherjee A; Ganguly A; Kumar C; Chowdhury P; 38620785
CONCORDIA
5 From Compliance to Care: Qualitative Findings from a Survey of Essential Caregivers in Ontario Long-Term Care Homes Conklin J; Dehcheshmeh MM; Archibald D; Elliott J; Hsu A; Kothari A; Stolee P; Sveistrup H; 38561989
AHSC
6 Factors associated with change in moderate or severe symptoms of anxiety and depression in community-living adults and older adults during the COVID-19 pandemic Vasiliadis HM; Spagnolo J; Bartram M; Fleury MJ; Gouin JP; Grenier S; Roberge P; Shen-Tu G; Vena JE; Lamoureux-Lamarche C; Wang J; 38117417
PSYCHOLOGY
7 The impact of COVID-19 on the lives of Canadians with and without non-communicable chronic diseases: results from the iCARE Study Deslauriers F; Gosselin-Boucher V; Léger C; Vieira AM; Bacon SL; Lavoie KL; 37884921
HKAP
8 Canadian pediatric eating disorder programs and virtual care during the COVID-19 pandemic: a mixed-methods approach to understanding clinicians' perspectives Novack K; Dufour R; Picard L; Taddeo D; Nadeau PO; Katzman DK; Booij L; Chadi N; 37101241
PSYCHOLOGY
9 The unsanitary other and racism during the pandemic: analysis of purity discourses on social media in India, France and United States of America during the COVID-19 pandemic Desmarais C; Roy M; Nguyen MT; Venkatesh V; Rousseau C; 36861381
CONCORDIA
10 A multi-criteria decision-making (MCDM) approach for data-driven distance learning recommendations Alshamsi AM; El-Kassabi H; Serhani MA; Bouhaddioui C; 36718426
ENCS
11 Relationship Quality and Mental Health Implications for Adolescents during the COVID-19 Pandemic: a Longitudinal Study Afriat M; De France K; Stack DM; Serbin LA; Hollenstein T; 36714376
PSYCHOLOGY
12 Gamblers' Perceptions of the Impact of the COVID-19 Pandemic on Their Gambling Behaviours: Analysis of Free-Text Responses Collected through a Cross-Sectional Online Survey Renard M; Audette-Chapdelaine S; Savard AC; Kairouz S; Brodeur M; 36554483
PSYCHOLOGY
13 The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets Foroutan P; Lahmiri S; 36068915
CONCORDIA
14 Group Telehealth Music Therapy With Caregivers: A Qualitative Inquiry Brault A; Vaillancourt G; 35734471
CONCORDIA
15 COVID-19-Related Concerns and Symptoms of Anxiety: Does Concern Play a Role in Predicting Severity and Risk? Benzouak T; Gunpat S; Briner EL; Thake J; Kisely S; Rao S; 34987892
PSYCHOLOGY
16 In-person versus virtual therapy in outpatient eating-disorder treatment: A COVID-19 inspired study Steiger H; Booij L; Crescenzi O; Oliverio S; Singer I; Thaler L; St-Hilaire A; Israel M; 34904742
PSYCHOLOGY
17 The Social Lives of Infectious Diseases: Why Culture Matters to COVID-19 Bayeh R; Yampolsky MA; Ryder AG; 34630195
PSYCHOLOGY
18 Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec. Khalilpourazari S, Hashemi Doulabi H 33424076
ENCS
19 Assessing the impact of COVID-19 pandemic on urban transportation and air quality in Canada. Tian X, An C, Chen Z, Tian Z 33401062
ENCS
20 Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic Lahmiri S; Bekiros S; 33286604
JMSB
21 Human rights, public health and COVID-19 in Canada. Mykhalovskiy E, Kazatchkine C, Foreman-Mackey A, McClelland A, Peck R, Hastings C, Elliott R 32974860
CONCORDIA
22 COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A 32958971
ENCS
23 Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic Lahmiri S; Bekiros S; 32834621
JMSB

 

Title:The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets
Authors:Foroutan PLahmiri S
Link:https://pubmed.ncbi.nlm.nih.gov/36068915/
DOI:10.1016/j.chaos.2022.112443
Publication:Chaos, solitons, and fractals
Keywords:COVID-19 pandemicCryptocurrencyEGARCH-MGranger causalityReturn-volatility relationshipReturn-volume relationship
PMID:36068915 Category: Date Added:2022-09-07
Dept Affiliation: CONCORDIA
1 Department of Supply Chain and Business Technology Management, Concordia University, Montreal, Canada.

Description:

Understanding the dynamics of cryptocurrency markets during financial crises such as the recent one caused by the COVID-19 pandemic is crucial for policy makers and investors. In this study, the effect of COVID-19 pandemic on the return-volatility and return-volume relationships for the ten most traded cryptocurrencies, namely Tether, Bitcoin, Ethereum, Ripple, Litecoin, Bitcoin Cash, EOS, Chainlink, Cardano, and Monero is examined. Further, the behavior of cryptocurrencies during COVID-19 pandemic is compared with less volatile markets such as Gold, WTI, and BRENT crude oil markets. To study the effect of volatility on cryptocurrency return, an EGARCH-M model is employed while for the return-volume relationships the VAR model and Granger causality tests are utilized. Results show that the return-volatility relationships for Tether, Ethereum, Ripple, Bitcoin Cash, EOS, and Monero are significant during COVID-19 pandemic, while the same relationship is not significant prior to the pandemic for any of the studied cryptocurrencies. Our findings of the return-volume relationship support the availability of causal relations from return to trading volume changes for Chainlink and Monero in the pre-COVID-19 period and for Ethereum, Ripple, Litecoin, EOS, and Cardano during the COVID-19 period. However, considering the absolute values of returns, we found a significant relationship from cryptocurrencies' absolute returns to trading volume changes for both the prior and during COVID-19 periods. From a managerial perspective, gold can be considered a suitable asset for portfolio hedging during the pandemic period and trading volume can help traders and investors identify the effect of momentum and potential trend in cryptocurrencies on their investments.





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