2021
DOI: 10.1016/j.najef.2021.101521
|View full text |Cite
|
Sign up to set email alerts
|

Market volatility and illiquidity during the COVID-19 outbreak: Evidence from the Saudi stock exchange through the wavelet coherence approaches

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 27 publications
(13 citation statements)
references
References 60 publications
(59 reference statements)
1
11
0
Order By: Relevance
“…These results are consistent with Tissaoui et al (2021) , who concluded that the direction of the relationship between oil return and stock market liquidity varies. Our findings indicate that the oil and gold effect is limited in the short-term and medium-term periods.…”
Section: Resultssupporting
confidence: 92%
See 1 more Smart Citation
“…These results are consistent with Tissaoui et al (2021) , who concluded that the direction of the relationship between oil return and stock market liquidity varies. Our findings indicate that the oil and gold effect is limited in the short-term and medium-term periods.…”
Section: Resultssupporting
confidence: 92%
“… Wang et al (2021) used the multistage approach (e.g., wavelet coherence and GARCH-EVT-VaR model) to investigate the nonlinear oil-gold connection, concluding that gold is still a safe haven against stock market volatility. Tissaoui et al (2021) used wavelet coherency approach to examine the effect of COVI-19 on the liquidity of Saudi stock market. They concluded that the direction of the relationship between oil return and stock market liquidity varies during the pandemic outbreak.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Overall, regardless the arrow direction, it is worth to note that there is a positive and significant coherency between illiquidity and VIX index over the sample period and across all frequencies. In low scales corresponding to (2)(3)(4) and (4)(5)(6)(7)(8), the arrows are pointed to the right and up indicating that illiquidity causes increases in US implied volatility. However, VIX is leading the US illiquidity in the medium and high scales (i.e., medium and long-term horizons) in the middle of the sample period (May 2020-September 2020).…”
Section: Wavelet Coherence Resultsmentioning
confidence: 99%
“…Understanding the dynamics of liquidity in the financial market is very important for market participants and policymakers. Many authors such as Chordia et al [1], Ma et al [2], Tissaoui and Ftiti [3], and Tissaoui et al [4] have suggested that a better assessment of liquidity can give investors the opportunity to improve their trading strategy by monitoring liquidity risks. is in turn allows for an effective and efficient use of funds and gives them greater certainty about the future.…”
Section: Introductionmentioning
confidence: 99%
“…Neural Network Model is used in forecasting implied volatility by Liu et al (2021). Tissaoui et al (2021) investigate the impact of volatility on the illiquidity of the Saudi stock market through an ARDL approach. Furthermore, they use the MWC plots to ratify their findings.…”
Section: Literature Reviewmentioning
confidence: 99%