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      • Open Access Article

        1 - Assessing the short-term and long-term environmental impacts of the bitcoin industry based on Continuous Wavelet Transform and Wavelet Coherence: Implications for the evaluation of cryptocurrencies in the Islamic finance framework
        mahdi ghaemiasl sahel rajab
        Background and Objective: The growing popularity of cryptocurrencies, especially bitcoin, has led miners to use the cheapest energy available through fossil fuels and to pay little attention to the release of pollutants and their destructive effects on the environment a More
        Background and Objective: The growing popularity of cryptocurrencies, especially bitcoin, has led miners to use the cheapest energy available through fossil fuels and to pay little attention to the release of pollutants and their destructive effects on the environment and future generations of humans. Therefore, the purpose of our research is to investigate the effects of cryptocurrency extraction on greenhouse gas emissions and, consequently, on the environment. Material and Methodology: In this study, the effects of bitcoin mining on greenhouse gas emissions and environmental pollution were investigated using the method of "continuous wavelet transform and wavelet coherence". To achieve this, data such as bitcoin hash rate (energy consumption due to bitcoin extraction), and emission of four greenhouse gases, namely; Methane (CH4), carbon dioxide (CO2), nitrogen dioxide (N2O), and sulfur hexafluoride (SF6) were used monthly from 2009 to 2020. Findings: Although from the point of view of bitcoin crypto industry miners in the short run, the results showed that its effects and destructive effects on the environment can be seen in the long term. Discussion and Conclusion: The cryptocurrencies industry is one of the main factors in the emission of pollutants and greenhouse gases, and most of their extraction has a positive and significant effect on the emission of environmental pollutants and their fluctuations, in the long term. With the help of this research, the index of the impact of cryptocurrencies on the environment, future generations and intergenerational justice can be considered as a criterion for approving or disapproving of this industry in the Islamic financial framework. Manuscript profile
      • Open Access Article

        2 - Dynamic GAS Based Modeling for Predicting and Assessing the Value at Risk of Bitcoin and Gold
        Mohammad Ebrahim Samavi Hashem Nikoomaram Mahdi Madanchi Zaj Ahmad Yaghobnezhad
        The first step in risk management in the field of investment is to calculate the variable that explains the risk accurately. One of the most widely used criteria for calculating risk is the value at risk, which has been the focus of financial researchers for the past th More
        The first step in risk management in the field of investment is to calculate the variable that explains the risk accurately. One of the most widely used criteria for calculating risk is the value at risk, which has been the focus of financial researchers for the past three decades. Therefore, the aim of the present study is dynamic modeling and variable time using a technique called Generalized Autoregressive Score (GAS) to estimate value at risk in bitcoin and gold by using daily data since 2010 to 2020 and assuming the distribution of t-student. its results are compared with the results of known AR and GARCH models. The results showed that for gold models such as GAS, GARCH and AR were able to estimate the value at risk at 5% error level. Among them, the GAS model had the best performance. For Bitcoin only two models, GAS and GARCH, are suitable for estimating value at risk and GARCH model is preferable. Also, the duration of risk of value at risk errors for all three models for gold and bitcoin lacks long-term memory, indicating its reliance on financial turmoil. Manuscript profile
      • Open Access Article

        3 - Examining the reaction of the total and equal-weighted index of the stock market to the fluctuation of cryptocurrencies under the influence of investors' emotions (evidence from the Iranian stock market)
        Nader Khedri tayebeh darvishpoor Ali Reza jorjor zadeh Houshang Amiri
        The emergence and expansion of the virtual currency market in recent years have attracted the attention of investors to these capital assets, and investors in Iran have not been exempted from this. And since asset markets are competitors in attracting investors, now a n More
        The emergence and expansion of the virtual currency market in recent years have attracted the attention of investors to these capital assets, and investors in Iran have not been exempted from this. And since asset markets are competitors in attracting investors, now a new competitor, the cryptocurrency market, is emerging in this market. Therefore, this study investigated the influence of cryptocurrencies on the total and equal-weighted indices of the Iranian stock market and considered the role of investors' sentiment as one of the influential factors. To carry out this study, the total Indice and the equal weight Indice of the stock market were extracted from the beginning of 2016 to September 2021, and the effect of the cryptocurrency market Indice, Bitcoin, and Ethereum, as the most well-known and most traded cryptocurrency, on the mentioned indicators was investigated using multivariate regression models.The findings showed that there was a negative and significant relationship between the Indices of Bitcoin, Ethereum, and the Indice of the cryptocurrency market with the total Indice and the Indice of equal weight in the Iranian stock market, and the sentiments of investors were effective on these relationships. Manuscript profile