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Quantifying the asymmetric information flow between Bitcoin prices and electricity consumption
Finance Research Letters. 2023. Vol. 57. No. 2023. Article 104163.
The present study uses transfer entropy and effective transfer entropy to quantify the asymmetric
information flow between monthly Bitcoin prices (Price) and total Bitcoin electricity consumption
(Electricity). Both the Shannon and R´enyi estimates confirm a statistically significant information
flow from Price to Electricity. However, Shannon and R´enyi methods yield mixed results in
quantifying the information flow for Electricity to Price. That indicates a possible non homogeneous
and chaotic impact of total Bitcoin electricity consumption on Bitcoin prices. However, the
R´enyi transfer entropy value converges with Shannon’s as the value of q approaches to 1. The
study findings are highly useful for managing the energy mix and carbon emissions associated
with Bitcoin & other cryptocurrency mining.
Plesovskikh A., Kolyan N., Gordeev R. et al., World Electric Vehicle Journal 2026 Vol. 17 No. 1 Article 51
Switching to electric vehicles (EVs) could help reduce air pollution in cities. This is especially important for cities in Russia that have grown quickly because of industry, like those in Siberia, where environmental problems are particularly acute. However, several factors continue to hinder the rapid expansion of EVs on the market, such as an additional ...
Added: April 13, 2026
Teterin M., Peresetsky A., Applied Econometrics 2025 Vol. 77 P. 74–90
Bitcoin and Ethereum are the two world’s largest cryptocurrencies. Their market capitalizations have recently peaked, making them more attractive to portfolio investors. As the cryptocurrency market is known for its high volatility nature, government institutions are also interested in this segment of the financial market for more comprehensive regulation. Volatility forecasting is a crucial part ...
Added: April 22, 2025
Teterin M., Peresetsky A., The Journal of the New Economic Association 2024 Vol. 4 P. 118–135
Since the introduction of Bitcoin in 2008, the size of the cryptocurrency market is becoming increasingly important for investors. Thus, the forecast of cryptocurrency price volatility is of particular interest to portfolio investors, as they are interested in accurately estimating the standard deviation of their portfolios to calculate the Value-at- Risk (VaR) as a risk ...
Added: January 21, 2025
Sergei Koltcov, Surkov A., Filippov V. et al., PeerJ Computer Science 2024 Vol. 10 P. 41
Topic modeling is a widely used instrument for the analysis of large text collections.
In the last few years, neural topic models and models with word embeddings have
been proposed to increase the quality of topic solutions. However, these models
were not extensively tested in terms of stability and interpretability. Moreover, the
question of selecting the number of topics ...
Added: February 16, 2024
Ignatenko V., Surkov A., Sergei Koltcov, PeerJ Computer Science 2024 Vol. 10 Article e1775
The random forest algorithm is one of the most popular and commonly used algorithms
for classification and regression tasks. It combines the output of multiple decision trees
to form a single result. Random forest algorithms demonstrate the highest accuracy on
tabular data compared to other algorithms in various applications. However, random
forests and, more precisely, decision trees, are usually ...
Added: February 16, 2024
Malashina A., Doklady Mathematics 2024 Vol. 108 No. 2 P. S282–S292
To provide secure information exchange in communication channels, the correctness of the operation of the relevant information protection systems must be preliminary studied. The mathematical algorithms used in such systems are correct and can theoretically provide the correct statistical properties of the output stream compared to the input. However, at the stage of implementation (programming) ...
Added: November 11, 2023
Dolmatov I. A., Koval A. N., Sukholitko I. S. et al., Энергетическая политика 2023 № 7(185) С. 68–81
Since July 2022, the cost of preferential connection of facilities with a capacity of up to 15 kW to electricity networks for households has increased to at least 82 times from 550 rubles. In some regions, the cost increased by 240 times or more, and has been growing at a significant rate. It increased 2 ...
Added: August 22, 2023
Morozova E., Panov V., Applied Stochastic Models in Business and Industry 2023 Vol. 39 No. 6 P. 772–788
In this paper, we present a new bivariate model for the joint description of the Bitcoin prices and the media attention to Bitcoin. Our model is based on the class of the Levy processes and is able to realistically reproduce the jump-type dynamics of the considered time series. We focus on the lowfrequency setup, which ...
Added: June 29, 2023
Koltsov S., , in: Applied InformaticsVol. 1: Communications in Computer and Information Science.: Springer Publishing Company, 2022.
This work demonstrates the possibility of applying the duality properties of a statistical collection of texts to determine the optimal number of topics/clusters. In a series of numerical experiments on text
data, it was demonstrated that Renyi entropy of topic models, expressed in Sq form (based on the escort distribution), as a function of the number ...
Added: October 28, 2022
Morozova E., Panov V., / Series arXiv.org "q-fin.ST". 2022. No. 2210.13824.
In this paper, we present a new bivariate model for the joint description of the Bitcoin prices and the media attention to Bitcoin. Our model is based on the class of the Lévy processes and is able to realistically reproduce the jump-type dynamics of the considered time series. We focus on the low-frequency setup, which ...
Added: October 26, 2022
Dean Fantazzini, Calabrese R., Journal of Risk and Financial Management 2021 Vol. 14 No. 11 Article 516
While there is increasing interest in crypto assets, the credit risk of these exchanges is still relatively unexplored. To fill this gap, we considered a unique dataset of 144 exchanges, active from the first quarter of 2018 to the first quarter of 2021. We analyzed the determinants surrounding the decision to close an exchange using ...
Added: July 31, 2022
Fantazzini D., Journal of Risk and Financial Management 2022 Vol. 15 No. 7 Article 304
This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit risk by computing their probability of death. We employed different definitions of dead coins, ranging from academic literature to professional practice; alternative forecasting models, ranging from credit scoring models to machine learning and time-series-based models; and ...
Added: July 28, 2022
Koltsov S., Ignatenko V., Terpilowski M. et al., PeerJ Computer Science 2021 Vol. 7 Article e608
Hierarchical topic modeling is a potentially powerful instrument for determining topical structures of text collections that additionally allows constructing a hierarchy representing the levels of topic abstractness. However, parameter optimization in hierarchical models, which includes finding an appropriate number of topics at each level of hierarchy, remains a challenging task. In this paper, we propose ...
Added: September 3, 2021
Dorofeyev M. F., Kosov M., Pankratov V. V. et al., European Research Studies Journal 2018 Vol. 21 No. 3 P. 429–445
The main aim of this article is to analyze the prerequisites for the development and the promotion of cryptocurrencies, covering the period from the emergence of the first forms of money to recent period. The paper focuses on findings of comparative analysis of consumer value of precious metals, cash and non-cash money and cryptocurrencies as ...
Added: August 18, 2021
Kychkin A., Chasparis G., Energy and Buildings 2021 Vol. 249 Article 111200
The need for accurate balancing in electricity markets and a larger integration of renewable sources ofelectricity require accurate forecasts of electricity loads in residential buildings. In this paper, we considerthe problem of short-term (one-day ahead) forecasting of the electricity-load consumption in residentialbuildings. In order to generate such forecasts, historical electricity consumption data are used, presentedin ...
Added: July 12, 2021
Buhrman H., Christandl M., Koucky M. et al., Algorithmica 2021 Vol. 83 P. 667–694
We study the two party problem of randomly selecting a common string among all the strings of length n. We want the protocol to have the property that the output distribution has high Shannon entropy or high min entropy, even when one of the two parties is dishonest and deviates from the protocol. We develop ...
Added: May 17, 2021
Kychkin A., Chasparis G., , in: 21th IFAC World CongressVol. 53. Issue 2.: Elsevier, 2020. P. 13094–13100.
n the context of electricity demand response, an important task is to generate accurate forecasts of energy loads for groups of households as well as individual consumers. We consider the problem of short-term (one-day-ahead) forecasting of the electricity consumption load of a residential building. In order to generate such forecasts, historical energy consumption data are ...
Added: April 19, 2021
Об энтропийных характеристиках последовательной процедуры опробования элементов полиномиальной схемы
Карпов А. А., Mironkin V., Михайлов М. М., Обозрение прикладной и промышленной математики 2021 Т. 28 № 1 С. 1–5
Explicit formulas are obtained for a number of entropy characteristics of a sequential procedure for testing an arbitrary polynomial probabilistic scheme. ...
Added: April 15, 2021
Volkova O. N., В кн.: IV Российский экономический конгресс «РЭК-2020». Том II. Тематическая конференция «Методология, история экономической мысли и экономическая история» (сборник материалов) / Составители В.С. Автономов, О.И. Ананьин, А.М. Маркевич. – М., 2020.Т. 2: Тематическая конференция «Методология, история экономической мысли и экономическая история» (сборник материалов).: М.: [б.и.], 2020. С. 30–31.
В докладе будут рассмотрены аргументы за и против признания криптовалют товаром, валютой (деньгами, в том числе электронными и частными деньгами), имуществом (активами, в том числе финансовыми активами), игрой на деньги. Будут обсуждаться также вопросы технической природы криптовалют как программ с открытым исходным кодом, возможности использовать криптовалюты в качестве инструментов хеджирования, налогового убежища и построения на ...
Added: January 26, 2021
Moubarak J., Chamoun M., Filiol E. A., Future Generation Computer Systems 2020 No. 113 P. 183–195
Distributed ledgers stimulate innovative services and enabled new applications in several domains, creating new concepts for trust and regulation. However, this backbone that is enabling novelties and abridging businesses comes with drawbacks and security flaws. In this paper, we evaluate several Distributed Ledger Technologies (DLTs) features depicting the Bitcoin, Ripple, Ethereum, Hyperledger, Algorand and IOTA ...
Added: January 25, 2021
Kulikova (Malashina) A., Los A., , in: Алгебра, теория чисел и дискретная геометрия: современные проблемы, приложения и проблемы истории.: Тула: ТГПУ, 2020. P. 181–185.
The word and n-gram distribution of natural language is studied in many areas: linguistics, game theory, and molecular biology. Corpus analysis of the language is also important in cryptographic protection of information, including the effectiveness of cryptographic algorithms. The procedures for recovery of discrete message parts are based on n-gram dictionaries of various lengths. In ...
Added: December 21, 2020