The cryptocurrency market is not regulated, people and companies wishing to invest in cryptocurrency do not have the same protection as when investing in other assets. In the absence of information and regulatory laws, investors should decide if cryptocurrencies make sense for their financial goals and what kind of investment strategy to choose not to go bankrupt. The aim of the study is to determine the probability of “tail events” and to assess in this way the probability of bankruptcy when investing in cryptocurrency using the Monte Carlo method. The analysis is carried out on the period from September 1, 2014 up to July 1, 2022. Despite the fact that today there are more than 10,000 types of cryptocurrencies, Bitcoin was chosen to assess the probability of bankruptcy. The reason is that Bitcoin is the world’s first decentralized cryptocurrency and its data is stored in a long-term history, which allows testing a long-term investment strategy. Besides, Bitcoin has not gone through a period of persistent inflation that makes the result of testing a short-term investment strategy more reliable. To date, there are around 25 million Bitcoin holders, representing 42.2% of the crypto market. Almost all cryptocurrencies have been proven to follow Bitcoin. The probability of bankruptcy for a short-term cryptocurrency investment strategy is about 17%-23%. For a long-term cryptocurrency investment strategy, the probability of bankruptcy fluctuates from 13% to 16%. Contrary to popular belief, investors looking to avoid bankruptcy should prefer a long-term strategy. The best way for cryptocurrency investors to protect themselves from bankruptcy is to alternate long and short investment periods.
The ongoing war in Ukraine has posed unprecedented challenges to traditional education systems, disrupting learning and affecting education quality. As universities adapt to these challenges, the growing reliance on distance learning strategies becomes crucial for maintaining academic management processes. This paper investigates the role of distance learning tools in addressing wartime challenges and enhancing university academic management.Utilizing a mixed-methods approach, the study combines quantitative data analysis of student performance with qualitative insights from educators and students affected by the war. The results prove the effectiveness of distance learning tools in maintaining education quality during the war while also addressing the unique challenges faced by universities in conflict areas.The findings reveal that distance learning tools serve as a valuable resource for universities to mitigate the negative impact of the war on education quality as part of academic management processes. However, specific challenges such as developing digital competencies, ensuring access to technology, and designing effective distance learning materials must be addressed in war-related disruptions.The quantitative analysis of student performance data highlights the potential of innovative distance learning tools in maintaining education quality during crises and wars. However, the efficiency of their use during the large-scale war in Ukraine has shown a decline and thus necessitates further research. Nevertheless, these insights provide valuable guidance for educators and academician managers to support students and educators during challenging times.
Анотація. У цій статті проведено теоретико-методичне дослідження особливостей кластеризації економічних процесів в умовах воєнного стану. Досліджено світовий досвід та можливості адаптації кластерів для регіонального агропродовольчого кластера Вінницької області. Розроблено схему поєднання ідеальної і реальної моделей державного управління розвитком аграрного сектору економіки в умовах воєнного стану. Запропонована структура агропродовольчого кластера регіональної продовольчої безпеки Вінницької області на засадах інноваційності, енергоефективності, екологічності; забезпечення населення області високоякісними харчовими продуктами.
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