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10.1016/j.frl.2020.101647 http://scihub22266oqcxt.onion/10.1016/j.frl.2020.101647 C7299874!7299874 !32837367     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32837367 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Financ+Res+Lett 2020 ; 36 (?): 101647 Nephropedia Template TP {{tp|p=32837367 |t=2020. How the cryptocurrency market has performed during COVID 19? A multifractal analysis |pdf=|usr=}}{{32837367 }} gab.com Text How the cryptocurrency market has performed during COVID 19 A multifractal analysis JO: Financ Res Lett http://www.kidney.de/pget.php?&tw=1&pmid=32837367 #FOAvip Cryptocurrency markets are complex systems based on speculation. Where investors interact using strategies that generate some biases responsible for endogenous instabilities. This paper investigated the herding biases by quantifying the self-similarity intensity of cryptocurrency returns' during the COVID-19 pandemic. The main purpose of this work was to study the level of cryptocurrency efficiency through multifractal analysis before and after the coronavirus pandemic. The empirical results proved that COVID-19 has a positive impact on the cryptocurrency market efficiency. Twit Text FOAVip How the cryptocurrency market has performed during COVID 19 A multifractal analysis ????Financ Res Lett http://www.kidney.de/pget.php?&tw=1&pmid=32837367 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837367 #FOAvip English Wikipedia <ref>{{Cite pmid|32837367 }}</ref> How the cryptocurrency market has performed during COVID 19? A multifractal analysis #MMPMID32837367 Mnif E ; Jarboui A ; Mouakhar K Financ Res Lett 2020[Oct]; 36 (?): 101647 PMID32837367 show ga Cryptocurrency markets are complex systems based on speculation. Where investors interact using strategies that generate some biases responsible for endogenous instabilities. This paper investigated the herding biases by quantifying the self-similarity intensity of cryptocurrency returns' during the COVID-19 pandemic. The main purpose of this work was to study the level of cryptocurrency efficiency through multifractal analysis before and after the coronavirus pandemic. The empirical results proved that COVID-19 has a positive impact on the cryptocurrency market efficiency. ?How the cryptocurrency market has performed during COVID 19? A multifr(epmc).pdf DeepDyve Pubget Overpricing