The influence of trade friction on the stability of stock market: Evidence from China.

Jianna Guo, Lu Liu, Yi Tang

Abstract read

In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jianna GuoSchool of International Economics and Trade, Shanghai Lixin University of Accounting and Finance, No. 995 Shangchuan Road, Pudong New Area, Shanghai, China.

Lu LiuSchool of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, No. 995 Shangchuan Road, Pudong New Area, Shanghai, China.

Yi TangSchool of International Economics and Trade, Shanghai Lixin University of Accounting and Finance, No. 995 Shangchuan Road, Pudong New Area, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stock markets are vulnerable to systemic events. This study analyzes the impact of multiple macro-characteristic events, such as trade friction, on China's stock markets. By leveraging a new event study and quantile regression method, we find that trade friction events significantly affect the stability of the stock market from six trading days in advance to five trading days after the event. The expected effects of trade friction events significantly influence the high quantile of stock market returns before these events. The low quantile of returns is affected as the news confirmation time approaches. Friction events have an impact before, and on the day of the event, and affect the stability of the stock market by influencing the low-quantile group, whereas mitigation events affect the stability of the stock market for a longer time by influencing the high-quantile group. Regulators and investors should pay attention to the impact of trade friction on the stock market. Regulators should also pay proper attention to the direction of public opinion on positive and negative news to maintain stock market stability.

Indexed as

New event studyQuantile regressionStock market stabilityTrade friction

Identifiers

PMID37800071

DOI10.1016/j.heliyon.2023.e20446

PMCPMC10550516

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.