Evidence map›Paper›PMID 37216048›Full record

ArticleResources policy2023

Risk connectedness between crude oil, gold and exchange rates in China: Implications of the COVID-19 pandemic.

Lei Xu, Xueke Ma, Fang Qu, Li Wang

Open access · greenAbstract read
In one paragraph

Article in Resources policy, 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
4.6field-weighted citation impact, top 5% of its field
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, 8 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Lei XuSichuan Emergency Management College, Xihua University, Chengdu, 610039, PR China.
Xueke MaSchool of Economics, Xihua University, Chengdu, 610039, PR China.
Fang QuSchool of Economics, Xihua University, Chengdu, 610039, PR China.
Li WangSchool of Energy and Power Engineering, Xihua University, Chengdu, 610039, China.
Xihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the risk connectedness and its asymmetry between oil, gold, and foreign exchange under the realized volatility, spillover index framework, and high-frequency data during the COVID-19 pandemic. It was found that: (1) At the beginning of the pandemic outbreak, the total volatility spillover in the system declined, which may indicate that the pandemic cuts the trading activities in the financial markets by inhibiting personnel mobility, then, the spillover experienced a short-term sharp rise due to panic. (2) The exchange rate had a significant risk connectedness with gold and international crude oil, but a restrict connectedness with domestic crude oil after the outbreak. These variations of risk transmission caused by the pandemic emerged later than the outbreak, reflecting a certain lag. (3) The impact of the pandemic on the asymmetric risk connectedness between oil, gold and the exchange rate was limited, and the risk transfer resulting from bad news was dominant during the sample period; however, gold was less affected by bad news than the oil and exchange rates. These findings suggested that the establishment of Chinese crude oil futures could restrain volatility spillovers from the exchange rate; the foreign exchange reserve structure should be optimized. Gold has been proved to have a hedging function with the crude oil, and its proportion in foreign exchange reserves should be appropriately increased.

Indexed as

COVID-19Foreign exchange reserveHigh frequency dataNatural resource assetsRisk connectedness

Identifiers

PMID37216048
PMCPMC10183636
OpenAlexW4376604975

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.