Analysis of the risk management of investing in digital currencies concerning transformative technologies with an emphasis on the Neutrosophic fuzzy method
Subject Areas :Somayeh Mohammadpour 1 , Fereydon Rahnamay Roodposhti 2 , maryam rahmaty 3 , Reza Ehtesham Rasi 4
1 - PhD student, Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 - Department of financing and accounting, science and research branch, Islamic azad university, Tehran, Iran
3 - Assistant Professor, Department of Management, Chalous Branch, Islamic Azad University, Chalous, Iran .
4 - Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Keywords: Investment risk, Risk management, Investing in cryptocurrency, Fuzzy Neutrosophic. ,
Abstract :
Risk management systematically applies policies, procedures, and processes related to risk analysis, evaluation, and control activities. Money and capital management is a financial strategy determining how a trader invests money in various digital currency assets. Cryptocurrency trading can be very profitable when done right. However, if they are done wrong, you can suffer unimaginable losses, some of which can never be recovered. Therefore, there are good trading habits that every trader should use. Thus, if risk management methods are well-applied, they will protect cryptocurrency trading and help you stay in the market without ruining your account. The current research aims to identify and prioritize risks in investing in digital currencies, focusing on the characteristics of transformative technologies such as blockchain and the Internet of Things. The present study conducted an extensive literature review to identify various risks. For empirical analysis, this study extracted data from the subject literature and analyzed using the opinions of 55 experts. A fuzzy neurosophisticated decision-making method was used to prioritize different risks. Among the risks, the risks related to network security are at the highest level, followed by the risks associated with network slowdown and operational risk. The results of this research have several implications for regulators, policymakers, entrepreneurs, technologists, and professionals. These stakeholders can focus on these vulnerabilities and provide more sustainable solutions in the future