Keyword search (4,164 papers available)

"COVID-19 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 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
3 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
4 The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets Foroutan P; Lahmiri S; 36068915
CONCORDIA
5 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
6 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
7 Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic Lahmiri S; Bekiros S; 33286604
JMSB
8 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
9 Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic Lahmiri S; Bekiros S; 32834621
JMSB

 

Title:Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic
Authors:Lahmiri SBekiros S
Link:https://pubmed.ncbi.nlm.nih.gov/32834621/
DOI:10.1016/j.chaos.2020.110084
Publication:Chaos, solitons, and fractals
Keywords:BitcoinBrentCOVID-19 PandemicGasGoldMutual informationRenyi entropyS&P500SilverVIXWTI
PMID:32834621 Category: Date Added:2020-08-24
Dept Affiliation: JMSB
1 Department of Supply Chain and Business Technology Management, John Molson School of Business, Concordia University, Montreal, Canada.
2 Department of Economics, European University Institute, Florence, Italy.
3 Rimini Centre for Economic Analysis, Wilfrid Laurier University, Waterloo, Canada.

Description:

The COVID-19 pandemic has seriously affected world economies. In this regard, it is expected that information level and sharing between equity, digital currency, and energy markets has been altered due to the pandemic outbreak. Specifically, the resulting twisted risk among markets is presumed to rise during the abnormal state of world economy. The purpose of the current study is twofold. First, by using Renyi entropy, we analyze the multiscale entropy function in the return time series of Bitcoin, S& P500, WTI, Brent, Gas, Gold, Silver, and investor fear index represented by VIX. Second, by estimating mutual information, we analyze the information sharing between these markets. The analyses are conducted before and during the COVID-19 pandemic. The empirical results from Renyi entropy indicate that for all market indices, randomness and disorder are more concentrated in less probable events. The empirical results from mutual information showed that the information sharing network between markets has changed during the COVID-19 pandemic. From a managerial perspective, we conclude that during the pandemic (i) portfolios composed of Bitcoin and Silver, Bitcoin and WTI, Bitcoin and Gold, Bitcoin and Brent, or Bitcoin and S& P500 could be risky, (ii) diversification opportunities exist by investing in portfolios composed of Gas and Silver, Gold and Silver, Gold and Gas, Brent and Silver, Brent and Gold, or Bitcoin and Gas, and that (iii) the VIX exhibited the lowest level of information disorder at all scales before and during the pandemic. Thus, it seems that the pandemic has not influenced the expectations of investors. Our results provide an insight of the response of stocks, cryptocurrencies, energy, precious metal markets, to expectations of investors in the aftermath of the COVID-19 pandemic in terms of information ordering and sharing.





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