Evidence map›Paper›PMID 34007096›Full record

ArticleAnnals of operations research2021

The impact of the SARS-CoV-2 pandemic on financial markets: a seismologic approach.

Alessandro Spelta, Nicolò Pecora, Andrea Flori, Paolo Giudici

Abstract read
In one paragraph

Article in Annals of operations research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

4 authors.

Alessandro SpeltaDepartment of Economics and Management, University of Pavia, Via San Felice, 5, 27100 Pavia, Italy.ORCID 0000-0003-1974-3165
Nicolò PecoraDepartment of Economics and Social Sciences, Catholic University, Via Emilia Parmense, 84, 29122 Piacenza, Italy.
Andrea FloriDepartment of Management, Economics and Industrial Engineering, Polytechnic of Milan, Via Lambruschini, 4/B, 20156 Milan, Italy.
Paolo GiudiciDepartment of Economics and Management, University of Pavia, Via San Felice, 5, 27100 Pavia, Italy.ORCID 0000-0002-4198-0127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work investigates financial volatility cascades generated by SARS-CoV-2 related news using concepts developed in the field of seismology. We analyze the impact of socio-economic and political announcements, as well as of financial stimulus disclosures, on the reference stock markets of the United States, United Kingdom, Spain, France, Germany and Italy. We quantify market efficiency in processing SARS-CoV-2 related news by means of the observed Omori power-law exponents and we relate these empirical regularities to investors' behavior through the lens of a stylized Agent-Based financial market model. The analysis reveals that financial markets may underreact to the announcements by taking a finite time to re-adjust prices, thus moving against the efficient market hypothesis. We observe that this empirical regularity can be related to the speculative behavior of market participants, whose willingness to switch toward better performing investment strategies, as well as their degree of reactivity to price trend or mispricing, can induce long-lasting volatility cascades.

Indexed as

Agent-based modelingFinancial marketsOmori lawSARS covid-2

Identifiers

PMID34007096
PMCPMC8120015

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.