Keyword search (4,163 papers available)

"entropy" Keyword-tagged Publications:

Title Authors PubMed ID
1 Hemodynamic correlates of fluctuations in neuronal excitability: A simultaneous Paired Associative Stimulation (PAS) and functional near infra-red spectroscopy (fNIRS) study Cai Z; Pellegrino G; Spilkin A; Delaire E; Uji M; Abdallah C; Lina JM; Fecteau S; Grova C; 40567300
PERFORM
2 Effect of Microstructure on Oxidation Resistance and TGO Formation in FeCoNiCrAl HEA Coatings Deposited by Low-Temperature HVAF Spraying Shahbazi H; Lima RS; Stoyanov P; Moreau C; 40271745
ENCS
3 EEG complexity during mind wandering: A multiscale entropy investigation Cnudde K; Kim G; Murch WS; Handy TC; Protzner AB; Kam JWY; 36621593
CONCORDIA
4 Hierarchical Bayesian modeling of the relationship between task-related hemodynamic responses and cortical excitability Cai Z; Pellegrino G; Lina JM; Benali H; Grova C; 36250709
PERFORM
5 Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures Bourouis S; Pawar Y; Bouguila N; 35009726
ENCS
6 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM
7 Fast oscillations >40 Hz localize the epileptogenic zone: An electrical source imaging study using high-density electroencephalography. Avigdor T, Abdallah C, von Ellenrieder N, Hedrich T, Rubino A, Lo Russo G, Bernhardt B, Nobili L, Grova C, Frauscher B 33450578
PERFORM
8 Randomness, Informational Entropy, and Volatility Interdependencies among the Major World Markets: The Role of the COVID-19 Pandemic Lahmiri S; Bekiros S; 33286604
JMSB
9 Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic Lahmiri S; Bekiros S; 32834621
JMSB
10 The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets Lahmiri S; Bekiros S; 32501379
JMSB
11 MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy. Chowdhury RA, Zerouali Y, Hedrich T, Heers M, Kobayashi E, Lina JM, Grova C 26016950
PERFORM
12 Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C 29164737
PERFORM

 

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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