Wajdi Frikha

Dr. Wajdi Frikha

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 July 2022 in Review of Behavioral Finance
Verified
Journal Article
Closed access
AGAchraf Ghorbem
Achraf Ghorbem
YMYasmine Snene Manzli
Yasmine Snene Manzli
WFWajdi Frikha
Wajdi Frikha
Purpose: The objective of this paper is to investigate the pandemic’s function as a driver of investor herding in international stock markets, given that the current coronavirus disease 2019 (COVID-19) crisis has caused a large rise in uncertainty.Design/methodology/approach: The paper investigates the presence of herding behavior among the developed and BRICS (Brazil, Russia, India, China and South Africa) stock market indices during the COVID-19 crisis, by using a modified Cross-Sectional Absolute Deviation (CSAD) measure which is considered a proxy for herding and the wavelet coherence (WC) analysis between CSAD that captures the different inter-linkages between stock markets.Findings: Using the CSAD model, the authors' findings indicate that the herding behavior of investors is present in stock markets during the four waves of COVID-19 crisis. The results also demonstrate that the transaction volume improve the herding behavior in the stock markets. As for the news concerning the number of cases caused by the pandemic, the results show that the pandemic does not stimulate herding; however, the number of deaths caused by this pandemic turns out to be a great stimulator of herding. By using the WC analysis, the authors' findings indicate the presence of herding behavior between the Chinese and stock markets (developed and emerging), especially during the first wave of the crisis and the presence of herding behavior between the Indian and stock markets (developed and emerging) in the medium and long run, especially during the third wave of the COVID-19 crisis.Originality/value: The authors' study is among the first that examines the influence of the recent COVID-19 pandemic as a stimulator of herding behavior between stock markets. The study also uses the WC analysis next to the CSAD model to obtain robust results. The authors' results are consistent with the mental bias of behavioral finance where herding behavior is considered effective in volatility predictions and decision-making for international investors, specifically during the COVID-19 crisis.

26 March 2023 in Journal of Business Analytics
Verified
Journal Article
Closed access
WFWajdi Frikha
Wajdi Frikha
MBMariem Brahim
Mariem Brahim
AJAhmed JERIBI
Ahmed JERIBI
Amine LahianiAmine Lahiani
Amine Lahiani
This paper aims to investigate the impacts of the COVID-19 pandemic and Russia-Ukraine war on the interconnectedness between the US and China stock markets, major cryptocurrency and commodity markets using the wavelet coherence approach over the period from January 1 2016 to April 18 2022. The aim is to understand how the COVID-19 pandemic and the Russia-Ukraine war have affected the hedging efficiency of volatile crypto-currencies and gold. Wavelet coherency analysis unveils perceptual differences between the short-term and longer-term market reactions. In the short-run, we find strong co-movements during the first and second waves of the pandemic. During the first wave, longer-term investors were driven by the belief of future pandemic demise. They make use of time diversification that results in positive returns. During the Russia-Ukraine war, S&P 500 leads Bitcoin, BNB, and Ripple whereas Ethereum leads S&P 500 and SSE.

15 November 2024 in SN Business & Economics
Verified
Journal Article
Closed access
PDF file
IAIhsen Abid
Ihsen Abid
SSsalha ben salem
salha ben salem
WFWajdi Frikha
Wajdi Frikha


4 March 2024 in Risks
Verified
Journal Article
Open access
PDF file
WFWajdi Frikha
Wajdi Frikha
ABAzza Béjaoui
Azza Béjaoui
Aurelio F. BarivieraAurelio F. Bariviera
Aurelio F. Bariviera
AJAhmed JERIBI
Ahmed JERIBI
This paper analyzes the connectedness between gold, wheat, and crude oil futures, Bitcoin, carbon emission futures, and international stock markets in the G7, BRICS, and Gulf regions with the outbreak of exogenous and unexpected shocks related to health, banking, and political crises. To this end, we use a wavelet-based method on the returns of different assets during the period 2 January 2019, to 21 April 2023. The empirical findings show that the existence of time-varying linkages between markets is well documented and appears stronger during the COVID-19 pandemic. However, it seems to diminish for some associations with the advent of the Russia-Ukraine War. The empirical results also show that investor risk perceptions measured by the VIX are negatively and substantially linked to stock markets in different regions. Other interesting findings emerge from the connectedness analysis with the outbreak of Silicon Valley bankruptcy. In particular, Bitcoin tends to regain its role as a safe-haven asset against some G7 stock markets during the bank crisis. Such findings can provide valuable insights for investors and policymakers concerning the relationship between different markets during different crises.

25 April 2023
Verified
Preprint
Open access
PDF file
WFWajdi Frikha
Wajdi Frikha
The paper intituled : « COVID-19 or Russia-Ukraine conflict: which is informative in defining the dynamic relationship between Bitcoin and major energy commodities? » can be accepted with major revisions. We have many remrks to author : * You hav...