Accueil › Annuaire des chercheurs › Emna Mnif
Emna Mnif
Affiliation : University of Sfax
- 42Publications (affiliation tunisienne)
- 61Publications au total
- 854Citations
- 15Indice h
Profil de recherche
Emna Mnif compte 42 publications référencées (2002–2026). Ses travaux paraissent principalement dans « Eurasian economic review : », « Society and Business Review » et « Management of Environmental Quality An International Journal ». Son article le plus cité, « How the cryptocurrency market has performed during COVID 19? A multifractal analysis » (2020), a été cité 294 fois. 15 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de France.
C’est vous ? Faites connaître vos travaux
Créez gratuitement votre profil DzCademia et ajoutez vos articles : ils apparaîtront plus facilement sur Google et dans les assistants d’IA comme ChatGPT. Plus de personnes pourront vous lire et vous citer.
Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Market Dynamics and Volatility
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Sustainable Finance and Green Bonds
- Islamic Finance and Banking Studies
Publications (42)
- Risk Interconnections and Management in Islamic Sustainable and Commodity Markets
- Green Finance, Clean Energy, and AI Synergies in Global Shipping Markets
- Risk interconnections and management in islamic, sustainable, and commodity markets: an R2 connectedness perspective
- Correction: Risk interconnections and management in islamic, sustainable, and commodity markets: an R2 connectedness perspective
- Capturing environmental and blue-economy dynamics in oil price forecasts using a hybrid deep generative model
- AI for Sustainable Finance: A Bibliometric Map of Emerging Technologies, ESG Integration, and Systemic Risk
- Unveiling the drivers behind carbon emissions disclosure: an ESG perspective
- Evaluating the effectiveness of green bonds and clean cryptocurrencies as hedging tools in volatile financial environments
- The role of bitcoin, sustainable investments, and financial stability in the transition to a green economy
- Leveraging cryptocurrency and AI indices for crude oil market forecasting with automated machine learning
- ESG Factors, Carbon Emission Disclosure, and Financial Characteristics as Drivers of Sustainable Investments
- Strategic insights into carbon markets, digital finance and geopolitical risks for advancing green sustainability investments
- Reconceptualizing the interplay between geopolitical index, green financial assets and renewable energy markets: evidence from the machine learning approach
- Drivers and predictors of carbon emissions disclosure: insights with H2O AutoML
- Islamic cryptocurrency integration for enhanced sustainable finance: evidence from time-frequency volatility transmission investigation
- Can Clean Energy Stocks Predict Crude Oil Markets Using Hybrid and Advanced Machine Learning Models?
- The influence of religiosity on cryptocurrency users' acceptance using search engines
- Investor Attention in Cryptocurrency Markets: Examining the Effects of Vaccination and COVID-19 Spread through a Wavelet Approach
- Energy-conserving cryptocurrency response during the COVID-19 pandemic and amid the Russia–Ukraine conflict
- Efficiency and herding analysis in gold-backed cryptocurrencies
- Investor behavior and cryptocurrency market bubbles during the COVID-19 pandemic
- The co‐movements of faith‐based cryptocurrencies in periods of pandemics
- COVID-19, bitcoin market efficiency, herd behaviour
- Blockchain technology awareness on social media: Insights from twitter analytics
- Users’ perception toward Bitcoin Green with big data analytics
- Resilience of Islamic cryptocurrency markets to Covid-19 shocks and the Federal Reserve policy
- ISLAMIC, GREEN, AND CONVENTIONAL CRYPTOCURRENCY MARKET EFFICIENCY DURING THE COVID-19 PANDEMIC
- Cryptocurrency bubble risk and the FOMC announcements during COVID-19 black swan event
- How the cryptocurrency market has performed during COVID 19? A multifractal analysis
- Big data tools for Islamic financial analysis
- Herding behaviour and Islamic market efficiency assessment: case of Dow Jones and Sukuk market
- Maxillary sinus arteriovenous malformation: A rare clinical entity
- Brucellar spondylodiscitis affecting non-contiguous spine levels
- A delayed diagnosis of lepromatous leprosy: pitfalls and clues to early recognition
- Acute myocardial infarction in a patient with hypofibrinogenemia: a case report
- Place du fistuloscanner dans l’exploration des fistules artério-veineuses en hémodialyse : expérience du service de néphrologie la Rabta : à propos de 16 cas
- Synchronous occurrence of colonic intraepithelial neoplasia and small bowel stromal tumour
- Budd-Chiari syndrome secondary to hepatic echinococcosis
- Clinical and genetic analysis of two Tunisian otosclerosis families
- Manifestations respiratoires inhabituelles révélatrices d’une polychondrite chronique atrophiante
- Liposarcome rétropéritonéal géant. À propos d'un cas
- Association of right heart thrombosis, endomyocardial fibrosis, and pulmonary artery aneurysm in Behçet’s disease
Revues de publication
- Eurasian economic review : × 2
- Society and Business Review × 2
- Management of Environmental Quality An International Journal × 2
- Arab Gulf Journal of Scientific Research × 2
- Review of Behavioral Finance × 2
- IGI Global eBooks × 1
Publications par année
- 20266
- 20255
- 20244
- 20233
- 20224
- 20216
- 20202
- 20191
- 20131
- 20114
Collaborations
Établissements partenaires : Hôpital La Rabta · Tunis El Manar University · Hôpital Charles-Nicolle · Faculté de médecine de Tunis · Normandie Université
Pays des co-auteurs : France
Co-auteurs
- Anis Jarboui
- Habiba Mizouni
- Nahed Zghidi
- Kais Nouira
- Imen Jellouli
- Fadhel Samir Ftériche
- Salma Chakroun
- Zoubeir Ben Safta
- Faouzi Chebbi
- Ghazi Besbes
- Lamia Raies
- I. Ben Ghorbel
Données bibliographiques issues d’OpenAlex (base ouverte).
Pourquoi choisir Dzcademia ?
Pour donner à vos travaux plus de chances d’être découverts et recommandés par les IA. Profils, articles et communications : donnez à votre recherche une présence publique structurée. Les métadonnées intégrées aident les moteurs de recherche et les assistants IA à identifier vos travaux et à comprendre leurs références.
Commenter avec Google
Connecte-toi avec Google pour commenter directement sur cette page.