Keyword search (4,163 papers available)

"COI" Keyword-tagged Publications:

Title Authors PubMed ID
1 A pan-theoretical conceptualization of client involvement in psychotherapy Morris E; Fitzpatrick MR; Renaud J; 25017441
EDUCATION
2 Mothers of disabled infants had higher cortisol levels in a free-ranging group of Japanese macaques (Macaca fuscata) Turner SE; Fedigan LM; Joyce MM; Matthews HD; Moriarity RJ; Nobuhara H; Nobuhara T; Stewart BM; Shimizu K; 37189289
CONCORDIA
3 Characterization of a novel AA3_1 xylooligosaccharide dehydrogenase from Thermothelomyces myriococcoides CBS 398.93 Zhao H; Karppi J; Nguyen TTM; Bellemare A; Tsang A; Master E; Tenkanen M; 36476312
CSFG
4 Phylogeography of the Korean endemic Coreoleuciscus (Cypriniformes: Gobionidae): the genetic evidence of colonization through Eurasian continent to the Korean Peninsula during Late Plio-Pleistocene Jeon HB; Song HY; Suk HY; Bang IC; 35438462
BIOLOGY
5 Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic Lahmiri S; Bekiros S; 33286604
JMSB
6 Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic Lahmiri S; Bekiros S; 32834621
JMSB
7 Dexamethasone-Induced Perturbations in Tissue Metabolomics Revealed by Chemical Isotope Labeling LC-MS analysis Dahabiyeh LA; Malkawi AK; Wang X; Colak D; Mujamammi AH; Sabi EM; Li L; Dasouki M; Abdel Rahman AM; 31973046
CHEMBIOCHEM
8 Proteomic Analysis of Morphologically Changed Tissues after Prolonged Dexamethasone Treatment Malkawi AK; Masood A; Shinwari Z; Jacob M; Benabdelkamel H; Matic G; Almuhanna F; Dasouki M; Alaiya AA; Rahman AMA; 31247941
CHEMBIOCHEM

 

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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