Evidence map›Paper›PMID 35431670›Full record

ArticleFinance research letters2022

Time-frequency volatility spillovers between major international financial markets during the COVID-19 pandemic.

Dong Wang, Ping Li, Lixin Huang

Abstract read
In one paragraph

Article in Finance research letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Dong WangSchool of Economics and Management, Beihang University, Beijing 100191, China.
Ping LiSchool of Economics and Management, Beihang University, Beijing 100191, China.
Lixin HuangSchool of Letters & Science, University of California, Berkeley, CA 94720-3840, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine volatility spillovers and their time-frequency dynamics among major global financial markets from the outbreak of COVID-19 to present. Results show that total spillovers, driven by low frequency components, peaks at the end of March 2020 and then decline, which is not consistent with the upward trend of COVID-19; Stock markets of US and UK are net spillover transmitters, while other markets are net spillover receivers. The findings suggest that markets rally in the short term, but investors need to beware of bubbles and liquidity tightening expectations, and policymakers can gradually start to resume conventional monetary policy.

Indexed as

COVID-19Financial marketsTime-frequency dynamicsVolatility spillover

Identifiers

PMID35431670
PMCPMC8994445

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.