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The Price and Market Prospects for the Ethereum Cryptocurrency Development

Journal: Financial Markets, Institutions and Risks (FMIR) (Vol.8, No. 3)

Publication Date:

Authors : ; ; ; ;

Page : 187-205

Keywords : ethereum; cryptocurrency; price; volume; market; regression analysis;

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Abstract

This article provides an in-depth analysis of the price dynamics and market prospects of Ethereum, the second-largest cryptocurrency by market capitalization. As blockchain technology and cryptocurrencies increasingly integrate into global financial systems, understanding the factors influencing Ethereum’s price becomes crucial for investors, developers, and researchers. The study uses daily price and volume data from an extensive dataset spanning from 2016 to 2023, focusing on the year 2022 to analyze trends and relationships between Ethereum’s price, market volume, and time. Employing correlation and regression analyses, the study aims to identify key patterns, with a focus on understanding how these variables interact within the volatile cryptocurrency market. The methodology centres on refining the data to ensure accuracy and integrity, including the removal of outliers and verification of variable distributions. Correlation analysis was conducted to explore the relationships between price, volume, and time. Regression analysis further assessed the impact of volume and temporal factors on Ethereum's price, using heteroskedasticity-consistent standard errors to address market volatility. The model's robustness was validated through statistical significance tests, and visualizations were used to present data trends and relationships effectively. The findings reveal that Ethereum experienced substantial volatility in 2022, characterized by a general downward price trend. The study identified a weak inverse correlation between price and trading volume, suggesting that periods of higher trading activity often coincide with lower prices, possibly reflecting market corrections or sell-offs. The regression analysis indicated that time is a significant factor in Ethereum’s price dynamics, with a strong positive correlation between the observation order and price, highlighting a clear downward trend over the year. The model demonstrated a high explanatory power, with an Adjusted R-squared of 83.94%, indicating that the selected variables effectively capture the variance in price. The discussion places these findings within the broader context of market developments, including technological shifts like Ethereum 2.0, regulatory changes, and macroeconomic factors that shaped the price movements. The inverse relationship between volume and price underscores the impact of trading behaviour on market sentiment, while the downward temporal trend aligns with the overall market downturn seen in 2022. Despite short-term negative trends, the analysis underscores Ethereum’s long-term potential, given its leading role in decentralized finance, non-fungible tokens, and blockchain innovation. This research remains highly relevant as it addresses the interplay of technical, market, and macroeconomic factors in shaping Ethereum’s price and market prospects, providing a framework for understanding its future trajectory within the evolving cryptocurrency landscape.

Last modified: 2024-10-17 00:04:53