Investment models on centralized and decentralized cryptocurrency markets

Zatonatska, Tetiana; Suslenko, Volodymyr; Dluhopolskyi, Oleksandr; Brych, Vasyl; Dluhopolska, Tetiana

doi:10.33271/nvngu/2022-1/177

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…COVID-19 and forced digitalization have contributed to the revision of regulatory policy regarding digital finance and increased tolerance of the use of crypto-assets [63][64][65]. At the same time, the increase in the scale of work and activities performed onlineincluding education, public administration, and others-has increased the urgency of issues related to traffic safety and data protection [66].…”

Section: Covid-19 Impacts On the Financial System And Regulationmentioning

confidence: 99%

Digital Financial Inclusion: COVID-19 Impacts and Opportunities

et al. 2023

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The COVID-19 pandemic has caused the acceleration of digitization and the consideration of digital financial inclusion as a means to minimize negative economic consequences and increase the resilience of households and SMEs. The purpose of this article was to assess the impact of the COVID-19 pandemic on digital financial inclusion by constructing and calculating an integral index of digital financial inclusion (DFI) based on Global Findex Database indicators. The approach to calculating the DFI index and two sub-indices that characterized passive participation in financial relations and active use of digital technologies was based on a linear mathematical model of the integrated indicator and on the use of the Fishburn formula to calculate the weight coefficients. The obtained results proved the acceleration of digital financial inclusion in 2021 and revealed significant differences in DFI between countries and groups of countries according to income level as well as problems of financial exclusion of the most vulnerable groups of population, especially in developing countries. The obtained results regarding the level of DFI are discussed from the point of view of COVID-19 impacts: both directly by influencing consumer behavior and decisions regarding digital financial services and from a broader perspective by influencing business entities, financial service providers, and regulation.

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Section: Covid-19 Impacts On the Financial System And Regulationmentioning

confidence: 99%

Digital Financial Inclusion: COVID-19 Impacts and Opportunities

et al. 2023

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“…589/Pid.sus/2021/PN.Bks hakim hanya berfokus pada penjatuhan pasal 105 tentang Perdagangan yang artinya putusan hakim tidak tepat atau kurang tepat, dimana jika dilihat dari beberapa kejahatannya Abdulrahman Yusuf melanggar beberapa pasal Pidana seperti 372 dan Pasal 378 Kitab Undang-Undang Hukum Pidana dengan pengelapan dan penipuan dimana tindakan yang dilakukan Abdulrahman Yusuf sudah terpenuhi unsur bertujuan mengammbil uang atau aset dari para investor untuk kepentingan pribadi, dan Abdulrahman Yusuf secara aktif menggelapkan uang dan aset tersebut tanpa sepengetahuan korban yang tidak memberikan izin atas tindakan tersebut (Torres, 2020). Dengan unsur penipuan dimana pelaku akan menawarkan investasi tersebut dengan janji dimana tingkat keuntungan yang tinggi dan https://journal.pubmedia.id/index.php/lawjustice resiko yang rendah dan menggunakan taktik penjualan yang menipu dan sering memalsukan informasi dan juga dokumen untuk meyakinkan beberapa orang untuk berinvestasi (Tetiana, 2022) Pasal 106 Undang-Undang No.7 Tahun 2014 Tentang Perdagangan dengan unsur mengenai perizinan dimana peerusahaan EDDCash tidak terdaftar dan tidak memiliki izin usaha, izin pendaftaran, dan apabila pasal tersebut dilanggar maka konsekuensinya hukuman pidana selama 4 tahun penjara dan atau denda paling banyak 10.000.000.000 (sepuluh miliar rupiah). Jika dilihat dalam aturan KUHP terbaru seharusnya hakim bisa melakukan tindakan kumulasi atau penggabungan lebih dari satu tuntutan hukum, sehingga tidak hanya berfokuskan pada satu tuntutan saja hakim bisa menjatuhkan pasal dan menjatuhkan hukuman yang lebih memberatkan (Pakhnenko, 2022).…”

Section: Hasil Dan Pembahasanunclassified

Pertanggungjawaban Penyelenggara Investasi Bodong yang Memakai Skema Ponzi dengan Modus Investasi Cryptocurrency

Rizki,

Suryokencono

2023

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The development of investment is currently very popular so many people are interested in investing to meet their needs, but not many people know about legal and illegal investments, so there are many cases of fraud using investment methods. Usually illegal investments will offer profits and bonuses in recruiting new members. This research aims to determine accountability and sanctions in preventing and taking action against perpetrators of fraudulent investments. The methods used in this research are as follows: statutory approach, case approach, normative juridical research types of primary and secondary legal materials. Data analysis techniques using library legal research. The results of this research show that in the investment business legal entities cannot be held physically responsible but rather the individuals involved in it can be held responsible in accordance with applicable laws. perpetrators of illegal or fraudulent investments in their implementation using new member bonuses violate the rules of criminal law, namely article 105 of Law no. 7 of 2014 concerning Trade.

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“…In the article (Rosario et al, 2021) it is proved that marketing approaches, such as IoT, big data, artificial intelligence, and machine learning, allow tracking in real time the relationship between business efficiency and advertising. Many studies focus on the importance of big data in the e-commerce and e-business industry (Riddle, 2020;Ryfiak, 2020;Zatonatska et al, 2019;Zatonatska et al, 2021;Mykhalchuk et al, 2021) or cryptocurrency market development (Suslenko et al, 2022;Zatonatska et al, 2022). Such research is extremely relevant for forecasting and making optimal management decisions in times of uncertainty and risk.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

et al. 2022

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Today, the use of machine learning technology in combination with the use of big data are topics that are actively discussed in business around the world. This topic has long gone beyond the information sphere, as it now applies to almost every sphere of life: economic, telecommunications, education, medicine, administration, and especially defense. Predicting customer behavior based on scoring models is in its infancy in Ukrainian companies, the main ones being the introduction of artificial intelligence technologies and machine learning, which will be the leading catalyst that will facilitate decision-making in business in the nearest future. The aim of the study is to develop a scoring model that predicts the behavior of target segments, namely, updating their activity to activate advertising tools. To achieve the goal of the work a set of research methods was used: dialectical – to reveal the theoretical foundations of models and types of forecasting models; analytical – in the study of the functioning of the environment SAS, Anaconda; optimization methods – to choose the best model and generate features. Scientific novelty and theoretical significance lie in the development of a scoring model for predicting the activity of subscribers of the telecommunications company “VF Ukraine”, on the basis of which marketing campaigns are conducted. With the help of the built-in scoring model, the company “VF Ukraine” can target its campaigns to retain subscribers. The marketing directorate of the enterprise can choose the TOP-20 or TOP-30 of the most prone subscribers to non-resumption of activity, i.e., tend to switch to other mobile operators, and hold promotions for them – providing additional gifts and bonuses, money to mobile account.

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Investment models on centralized and decentralized cryptocurrency markets

Cited by 11 publications

References 13 publications

Digital Financial Inclusion: COVID-19 Impacts and Opportunities

Digital Financial Inclusion: COVID-19 Impacts and Opportunities

Pertanggungjawaban Penyelenggara Investasi Bodong yang Memakai Skema Ponzi dengan Modus Investasi Cryptocurrency

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

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