Evidence map›Paper›PMID 36193258›Full record

ArticleResources policy2022

Covid-19 and oil and gold price volatilities: Evidence from China market.

Cui Xiaozhong, Kuo Yen-Ku, Apichit Maneengam, Phan The Cong, Nguyen Ngoc Quynh, Mohammed Moosa Ageli, Worakamol Wisetsri

Abstract read
In one paragraph

Article in Resources policy, 2022. 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
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0citing papers in PubMed
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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

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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

7 authors.

Cui XiaozhongSchool of Business, Jiaxing University, Jiaxing, 314001, China.
Kuo Yen-KuLeisure Industry Management, Commercial College, Chinese Culture University, Taipei City, Taiwan.
Apichit ManeengamDepartment of Mechanical Engineering Technology, College of Industrial Technology, King Mongkut's University of Technology North Bangkok, Wongsawang, Bangsue, Bangkok, 10800, Thailand.
Phan The CongThuongmai University, Cau Giay District, Hanoi, Viet Nam.
Nguyen Ngoc QuynhThuongmai University, Cau Giay District, Hanoi, Viet Nam.
Mohammed Moosa AgeliCollege of Applied Business Administration, King Saud University, Riyadh, Saudi Arabia.
Worakamol WisetsriDepartment of Social Science, Faculty of Applied Arts, King Mongkut's University of Technology North Bangkok(KMUTNB), Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gold and crude oil are the influential commodities of the stock markets and real economy of the world in financial crises as well as in COVID-19 periods. However literature mainly focused on the effects of these commodities' prices only, and the volatilities in the prices of these commodities altogether with the prices got little attention. To fill in a major research gap, our study intends to estimate the dynamic relationship between oil prices, gold prices, oil prices volatilities and gold prices volatilities on the stock market of China. Using daily data over the period from 2009 to 2021, the study applied Autoregressive Distributed Lag (ARDL) bound test approach for the purpose of empirical estimation. Moreover, Non linear ARDL and asymmetric Causality analysis has also been applied for more comprehensive asymmetric estimation. The findings of our study indicated that gold prices and oil prices negatively affect stock market of China in the long run. In terms of implied volatility index of these commodities, study finds negative impact of price volatility of oil but positive impact of the price volatility of gold on the country's stock market in the long run. However, in the short run, only oil price and gold prices have significant effect on the China's stock market. On the basis of our findings, we recommend the investors to make rational decisions in response to the uncertainties in these markets and should consider gold as a safe haven to hedge themselves in times of uncertainty. Policymakers should take appropriate actions and adopt proper mechanisms for dealing with the quick uncertainty flow of information from the oil to the stock market.

Indexed as

ARDL bound testChina stock MarketGold pricesGVZoil pricesOVX

Identifiers

PMID36193258
PMCPMC9519526

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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.