| Vol-2713 urn:nbn:de:0074-2713-0 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# M3E2-MLPEED 2020
Machine Learning for Prediction of Emergent Economy Dynamics 2020

### Proceedings of the Selected Papers of the Special Edition of International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2-MLPEED 2020)

### Odessa, Ukraine, July 13-18, 2020.

Edited by

### Arnold Kiv *

* Ben-Gurion University of the Negev, P.O.B. 653, Beer Sheva, 8410501, Israel

## Table of Contents

- Frontmatter
- Committees
- Machine learning of emerging markets in pandemic times 1-20
  Arnold Kiv, Pavlo Hryhoruk, Inesa Khvostina, Victoria Solovieva, Vladimir Soloviev, Serhiy Semerikov
- Recurrence plot-based analysis of financial-economic crashes 21-40
  Vladimir Soloviev, Oleksandr Serdiuk, Serhiy Semerikov, Arnold Kiv
- Casual analysis of financial and operational risks of oil and gas companies in condition of emergent economy 41-52
  Inesa Khvostina, Serhiy Semerikov, Oleh Yatsiuk, Nadiia Daliak, Olha Romanko, Ekaterina Shmeltser
- Complex networks theory and precursors of financial crashes 53-67
  Vladimir Soloviev, Victoria Solovieva, Anna Tuliakova, Alexey Hostryk, Lukáš Pichl
- Modeling the optimal management of the distribution of profits of an oil and gas company taking into account risks 68-80
  Inesa Khvostina, Viktor Oliinyk, Valerii Yatsenko, Liliia Mykhailyshyn, Uliana Berezhnytska
- Scenario forecasting information transparency of subjects' under uncertainty and development of the knowledge economy 81-106
  Hanna Kucherova, Anastasiia Didenko, Olena Kravets, Yuliia Honcharenko, Aleksandr Uchitel
- Use of simulation modeling for predicting optimization of repair works at oil and gas production enterprises 107-124
  Iryna Hobyr, Vitalina Babenko, Sofiia Kafka, Yuliia Bui, Oksana Savko, Ekaterina Shmeltser
- Fuzzy cluster analysis of indicators for assessing the potential of recreational forest use 125-144
  Evstakhii Kryzhanivs'kyi, Liliana Horal, Iryna Perevozova, Vira Shyiko, Nataliia Mykytiuk, Maria Berlous
- Strategic priorities of innovation and investment development of the Ukraine's economy industrial sector 145-166
  Vаlentyna Stadnyk, Pavlo Izhevskiy, Nila Khrushch, Sergii Lysenko, Galyna Sokoliuk, Tetjana Tomalja
- Modelling of trade relations between EU countries by the method of minimum spanning trees using different measures of similarity 167-186
  Hanna Danylchuk, Oksana Ivanylova, Liubov Kibalnyk, Oksana Kovtun, Tetiana Melnyk, Oleksandr Serdiuk, Vladimir Zaselskiy
- Modeling the assessment of credit risk losses in banking 187-203
  Kаterina Larionova, Tetyana Donchenko, Andriy Oliinyk, Hennadii Kapinos, Oleg Savenko, Olexander Barmak
- The impact of COVID-induced shock on the risk-return correspondence of agricultural ETFs 204-218
  Andrii Kaminskyi, Maryna Nehrey, Nina Rizun
- Comparative analysis of the attractiveness of investment instruments based on the analysis of market dynamics 219-238
  Nataliia Maksyshko, Oksana Vasylieva, Igor Kozin, Vitalii Perepelitsa
- Assessment of bank's financial security levels based on a comprehensive index using information technology 239-260
  Nila Khrushch, Pavlo Hryhoruk, Tetiana Hovorushchenko, Sergii Lysenko, Liudmyla Prystupa, Liudmyla Vahanova
- The cryptocurrencies risk measure based on the Laplace distribution 261-276
  Petro Hrytsiuk, Tetiana Babych
- Model for assessing and implementing resource-efficient strategy of industry 277-294
  Nadiia Shmygol, Francesco Schiavone, Olena Trokhymets, Dariusz Pawliszczy, Viktor Koval, Ruslan Zavgorodniy, Andrii Vorfolomeiev
- Fuzzy modelling of Big Data of HR in the conditions of Industry 4.0 295-314
  Mykola Ivanov, Sergey Ivanov, Olexander Cherep, Nataliia Terentieva, Victoria Maltiz, Iuliia Kaliuzhna, Vitaliy Lyalyuk
- Using non-metric multidimensional scaling for assessment of regions' economy in the context of their sustainable development 315-333
  Pavlo Hryhoruk, Svitlana Grygoruk, Nila Khrushch, Tetiana Hovorushchenko
- Predicting the economic efficiency of the business model of an industrial enterprise using machine learning methods 334-351
  Liliana Horal, Inesa Khvostina, Nadiia Reznik, Vira Shyiko, Natalia Yashcheritsyna, Svitlana Korol, Vladimir Zaselskiy
- Modelling of cryptocurrency market using fractal and entropy analysis in COVID-19 352-371
  Hanna Danylchuk, Liubov Kibalnyk, Oksana Kovtun, Arnold Kiv, Oleg Pursky, Galina Berezhna
- Econophysics of sustainability indices 372-392
  Andriy Bielinskyi, Serhiy Semerikov, Oleksandr Serdiuk, Victoria Solovieva, Vladimir Soloviev, Lukáš Pichl
- Asymptotic methods in optimization of multi-item inventory management model 393-414
  Lidiіa Horoshkova, Ievgen Khlobystov, Volodymyr Volkov, Olha Holovan, Svitlana Markova, Alexander Golub, Oleksandr Oliynyk
- Modeling and prediction of the gas pipelines reliability indicators in the context of energy security of Ukraine 415-433
  Halyna Zelinska, Irina Fedorovych, Uliana Andrusiv, Oksana Chernova, Halyna Kupalova
- Machine learning approaches for financial time series forecasting 434-450
  Vasily Derbentsev, Andriy Matviychuk, Nataliia Datsenko, Vitalii Bezkorovainyi, Albert Azaryan
- Author Index

2020-10-23: submitted by Arnold Kiv, Serhiy Semerikov metadata incl. bibliographic data published under Creative Commons CC0
2020-10-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|