Is the Price of Ether Driven by Demand or Pure Speculation?

IF 1.9 4区 经济学 Q2 ECONOMICS Computational Economics Pub Date : 2024-09-12 DOI:10.1007/s10614-024-10658-6
Zein Alamah, Ali Fakih
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Abstract

This research, utilizing weekly data from 2017 to 2023 (298 observations), seeks to answer the question, “Is the Price of Ether Driven by Demand or Pure Speculation?” It investigates the determinants of Ether price by focusing on the role of Gas price in Wei, Ethereum Network Utilization, and Bitcoin price. The study demonstrates that Network Utilization, indicative of demand, significantly influences Ether’s price, suggesting a demand-driven price dynamic over pure speculation. Conversely, Gas and Bitcoin prices exert a less pronounced impact. Despite the constraints of a specific timeframe and limited variables, the research provides crucial insights into Ether’s pricing dynamics. The revealed dependence of Ether’s price on actual network demand and utilization supports the argument that Ether exhibits commodity-like characteristics, contributing to the ongoing debate on Ether’s status as a commodity or a security. The utility of econometric methodologies, especially the SVAR model, is highlighted in exploring relationships within the Ethereum ecosystem. The study holds significant implications for stakeholders in the Ethereum ecosystem and the broader cryptocurrency market, and it encourages future research to consider additional price determinants and employ diverse econometric models.

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以太币价格是受需求驱动还是纯粹投机?
本研究利用2017年至2023年的每周数据(298个观测值),试图回答 "以太币价格是由需求驱动还是纯粹投机?"这一问题。研究通过关注魏国天然气价格、以太坊网络利用率和比特币价格的作用,调查了以太币价格的决定因素。研究表明,表明需求的网络利用率对以太币价格有重大影响,这表明需求驱动的价格动态高于纯粹的投机行为。相反,天然气和比特币价格的影响则不那么明显。尽管受到特定时间框架和有限变量的限制,这项研究仍为了解以太币的价格动态提供了重要启示。所揭示的以太币价格对实际网络需求和利用率的依赖性,支持了以太币表现出类似商品特征的论点,为目前关于以太币是商品还是证券的争论做出了贡献。计量经济学方法(尤其是 SVAR 模型)在探索以太坊生态系统内部关系方面的实用性得到了强调。这项研究对以太坊生态系统和更广泛的加密货币市场的利益相关者具有重要意义,它鼓励未来的研究考虑更多的价格决定因素,并采用多样化的计量经济学模型。
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来源期刊
Computational Economics
Computational Economics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
15.00%
发文量
119
审稿时长
12 months
期刊介绍: Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing
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