مطالب

This paper addresses the contemporary crisis of Islam in relation to the use of social media, aiming to study the religious and doctrinal concepts disseminated across several Islamic websites. The objective is to identify the most prominent electronic networks contributing to the process of Islamic preaching and guidance, and to highlight the concepts, beliefs, and jurisprudential rulings they offer. Furthermore, the paper examines the extent to which these contents align with the core values of Islam, as well as their impact on audiences and followers. It also explores the challenges associated with utilizing these platforms to spread the Islamic message. The research on this topic required the use of various methodologies, such as the historical and descriptive approaches. Additionally, the comparative method was employed to present examples of moderate Islamic websites and to compare jurisprudential rulings with other Islamic sources in the case study. This study revealed numerous controversial issues presented by Islamic websites, based on various sources related to the Prophet’s traditions and the accounts of the Companions. These issues represent one of the main causes of the contemporary crisis in Islam, which is the focus of this study. the adoption of extreme religious discourse promoted by these websites, along with the vilification of Islamic websites that may differ in some rulings, perspectives, and religious jurisprudence, leads to a deviation from the goal toward which humanity should be heading—establishing a tolerant divine message.

This study seeks to rigorously assess the relationship between Iran’s stock market index and monetary policy within the framework of the Markov Switching Vector Autoregressive (MS-VAR) model. The MS-VAR methodology is particularly well-suited for capturing regime-dependent dynamics and structural shifts in macroeconomic and financial time series. For this purpose, quarterly data spanning from Spring 2009 to Fall 2023 have been employed. All estimations were conducted using EViews 12 and OX Metrics 7 software. As a preliminary step, the Hodrick-Prescott filter was applied to differentiate between two distinct market regimes. Combined with a univariate Markov Switching model, this approach enabled the identification of cyclical fluctuations in the stock market, distinguishing bull from bear market phases. The results indicate that Regime 1 (bear market) demonstrates greater persistence and stability relative to Regime 2 (bull market), suggesting asymmetric market dynamics. Subsequently, the study investigates the effects of monetary policy—proxied by the interbank market rate and liquidity growth—on the growth of the stock market index within the MS-VAR framework. The findings suggest that monetary policy has different effects during bull and bear market phases. The stock index exhibits a prompt and asymmetric response to changes in both the interbank market rate and liquidity growth. Specifically, in both bull and bear market regimes, an increase in the interbank interest rate exerts a contractionary effect on stock index growth, with a more pronounced negative impact observed during periods of market recession. Moreover, liquidity growth consistently contributes positively to stock index growth across both regimes, with a more pronounced effect under bull market conditions. Variance decomposition analysis further reveals that, in both regimes, shocks to the stock index itself account for the largest proportion of its fluctuations. Nonetheless, the relative importance of monetary policy instruments varies by regime: In both expansionary and recessionary phases of the stock market, shocks stemming from the interbank market rate play a more prominent role in explaining stock index volatility compared to liquidity shocks. Finally, the presence of nonlinear interactions among the variables is statistically validated based on the Likelihood Ratio (LR) test.