Evidence map›Paper›PMID 36065258›Full record

ArticleJournal of behavioral and experimental finance2022

Nonlinear nexus between cryptocurrency returns and COVID-19 COVID-19 news sentiment.

Ameet Kumar Banerjee, Md Akhtaruzzaman, Andreia Dionisio, Dora Almeida, Ahmet Sensoy

Abstract readNews
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of behavioral and experimental finance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ameet Kumar BanerjeeXLRI - Xavier School of Management, Circuit House Area, Jamshedpur, 831 001, India.
Md AkhtaruzzamanPeter Faber Business School, Australian Catholic University, 532.6.15, Level 6, Tenison Woods House, 8-20 Napier Street, North Sydney, NSW 2060, Australia.
Andreia DionisioUniversity of Evora, CEFAGE, School of Social Sciences, Management Department, Largo dos Colegiais, 2, 7000 Evora, Portugal.
Dora AlmeidaUniversity of Evora, School of Social Sciences, CEFAGE, Portugal.
Ahmet SensoyBilkent University, Faculty of Business Administration, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper examines how various COVID-19 COVID-19 news sentiments differentially impact the behaviour of cryptocurrency returns. We used a nonlinear technique of transfer entropy to investigate the relationship between the top 30 cryptocurrencies by market capitalisation and COVID-19 COVID-19 news sentiment. Results show that COVID-19 COVID-19 news sentiment influences cryptocurrency returns. The nexus is unidirectional from news sentiment to cryptocurrency returns, in contrast to past findings. These results have practical implications for policymakers and market participants in understanding cryptocurrency market dynamics under extremely stressful market conditions. .

Indexed as

CausalityCOVID–19 COVID-19 news sentimentCryptocurrenciesPandemicTransfer entropy

Identifiers

PMID36065258
PMCPMC9434911

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.