The current paper examines the volatility parameters of thirteen stock markets returns (mature and emerging) by GARCH models in order to see its effects on the potential gains of international diversification. Then, we identify the effects of the volatilities on the correlation between...

This article explores the relation between oil market and the financial stocks market. Particularly, this article examines the impact of oil price shocks on stock markets returns and volatilities for large set of oil importing and exporting countries over 1997:1–2009:08 period. Using VAR...

This study examines the contagion of herding behavior in the Tunisian financial system during the period 2000:01-2012:12 by using several GARCH models. The BEKK-GARCH model results prove the volatility spillovers between the residues of time deposit and other financial variables for savings...

This paper studies the effect of bank manager behavior and investor behavior on market value of Islamic and conventional banks in the Middle East and North Africa region. Firstly, our analysis denoted the positive effect of discretionary behavior of manager on both types of banks on share prices...

Purpose This paper analyzes the connectedness with network among the major cryptocurrencies, the G7 stock indexes and the gold price over the coronavirus disease 2019 (COVID-19) pandemic period, in 2020. Design/methodology/approach This study used a multivariate approach proposed by Diebold and...

This study examines the link between stocks and decentralized finance (DeFi) in terms of returns and volatility. Major G7 exchange-traded funds (ETFs) and various highly traded DeFi assets are considered to ensure the robustness of the empirical experiment. Specifically, this study applies the...

In this study we propose to empirically assess the potential diversification benefits of three types of cryptocurrencies (traditional: Bitcoin, green: Cardano and stablecoins: Tether) by including them in equity-based asset allocation strategies. We build monthly rebalanced minimum VaR...

Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...

The Tunisian banks currently operate in a very competitive environment. Long-term viability of this sector depends on its degree of efficiency. Therefore a study relating to the determinants of X-Efficiency in Tunisian banks is of major interest. For that purpose, we made recourse to an...

This paper highlights the relevant role of the quality of institutions in maintaining banking stability. Poor institutions constitute the key determinants in explaining the emergence of banking crises. An empirical study of 52 emerging and / or developing countries from 1996 to 2009 finds that...