A5067005586- Market Dynamics and Volatility
- Blockchain Technology Applications and Security
- COVID-19 Pandemic Impacts
- Complex Systems and Time Series Analysis
- Financial Risk and Volatility Modeling
- Monetary Policy and Economic Impact
- Energy, Environment, Economic Growth
- Global Energy Security and Policy
- Microfinance and Financial Inclusion
- Fiscal Policy and Economic Growth
- Business and Economic Development
- Economic Growth and Productivity
- Child Nutrition and Water Access
- Economic and Technological Developments in Russia
- Diversity and Career in Medicine
- Russia and Soviet political economy
- Gender, Labor, and Family Dynamics
- Economic Development and Digital Transformation
- Economic Sanctions and International Relations
- Pneumothorax, Barotrauma, Emphysema
- Income, Poverty, and Inequality
- Financial Markets and Investment Strategies
- Obesity and Health Practices
- Medical Education and Admissions
- Workplace Violence and Bullying
Royal Preston Hospital
2024
Tunis University
2020-2024
Institut Supérieur de Gestion de Tunis
2020-2022
Higher Institute of Management
2021-2022
Higher Institute of Food Industries of Tunis
2021
In this paper, we attempt to analyze the dynamic interplay between Bitcoin, social media, and Covid-19 health crisis. For end, apply fractional autoregressive vector model, error correction model impulse response functions on daily data over period 31/12/2019-30/10/2020. Our results clearly show short- long-term evidence of nexus Bitcoin price, media metrics (Tweets Google Trends) intensity pandemic. As well, pandemic does not impact in long-term. On other hand, positively affects metrics....
In this paper, we try to investigate the contribution of digitalization on economic growth in both developed and developing countries over period 1990-2020. For end, different econometric tools are applied a panel dataset. Overall, show that digital technologies seem significantly positively affect groups countries. The impact level tends differ across Our empirical results also display short- long-term relationship between information communication is well documented. Such can be useful for...
Purpose This paper aims to investigate the impact of COVID-19 pandemic and Russian−Ukrainian war on volatility several cryptocurrencies. Design/methodology/approach To do this, study uses GJR-GARCH dynamic conditional correlation (DCC)-GJR-GARCH models, which allow author estimate variance cryptocurrencies’ returns assess their dependence structure over time. Findings The results show that health crisis had a negative all cryptocurrencies studied, except for Bitcoin, experienced positive...
This article aims to analyse the hedging, diversifier and safe-haven properties of Bitcoin for US Dollar Index (USDI). We explore long-term relationship between USDI by estimating a Markov-switching autoregressive (MS-AR) model with two regimes. Thus, data used cover period from 18 January 2010 30 June 2017 both Bitcoin. The empirical findings based on analysis MS-AR report that investing in involves more benefits than even if economy is recession. However, examining volatility, research...
The article examines the dynamic dependence structure and risk spillover between future market of energy commodities Brazil, Russia, India, China South Africa (BRICS) stock markets for different conditions. study used copula-based multivariate GARCH model, or in short C-MGARCH to explore conditional correlation by generalized autoregressive heteroskedastic (MGARCH) remaining copula models. Our results provide significant positive dependency among crude oil (natural gas market) BRICS markets....
The purpose of our paper is to analyze the main factors which influence fiscal balance’s evolution and thereby identify solutions for configuring a sustainable policy. We have selected as independent variables some macroeconomic measures, respectively public debt, unemployment rate, economy openness degree, population, consumer goods’ price index, current account balance, direct foreign investments economic growth rate. Our research method uses two econometric models applied on sample 22...
Abstract In this paper, we examine the effect of gold price on American financial market. particular, analyse impact dollar exchange rate and returns banks. Methodologically, use a unified approach based multi‐models not only to U.S. market nexus but also highlight dynamics such relationship over period December 19, 1994–June 30, 2017. We show that long‐relationship between price, bank is well documented. As well, behaviour are characterized by some salient features. nonlinear adjustment...
Our study aims to examine the impact of digital economy on sustainable development during international financial crises, COVID-19 pandemic, and current war between Russia Ukraine. To do this, we collected an annual dataset from 1990 2022 for twenty-eight developed twenty-five developing countries, identify links environmental, socio-economic, proxy indicators economy. We estimate these using Within GLS methods use Hausman (1978) test individual effects determine nature links. results show...
This article tries to investigate the connectedness between Bitcoin and Crude Oil, S&P500 Natural Gas with health crisis. That is why one might apply fractional cointegration analysis on daily data over period 01/09/2019-30/04/2020. Our results indicate presence of integration in residual series, implying existence a relationship. A short-run joint dynamics some other assets (Crude Gas) nevertheless well-pronounced. Such long short-term dependencies different could be interesting from...
Different nutritional disorders prevail at different stages in the life cycle, e.g. growth retardation fetus, protein energy deficiency children, noncommunicable conditions adults. The scope of nutrition assessment has changed over past 2 decades. focus shifted from pregnant and lactating mothers through functional consequences malnutrition to disorders. Now is on obesity. Clinical methods (usually indicators late-stage malnutrition) have become less important recently although clinical...