<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec><h3>Research purpose.</h3>
<p>This study analysed the three cryptocurrencies with the largest market capitalization: Bitcoin, Ether (cryptocurrency built upon the Ethereum project's blockchain technology), and Binance coin, which account for 60% of the total cryptocurrency market capitalization. The purpose of this research was to measure the impact of monetary policy on the price of these cryptocurrencies using an adjusted R squared.</p>
</sec>
<sec><h3>Design / Methodology / Approach.</h3>
<p>As dependent variables, we used interest rates controlled by the European Central Bank and the Federal Reserve and reports from the European Central Bank and the Federal Open Market Committee. A robust Elastic Net Regression with Autoregressive Integrated Moving Average (ARIMA) residuals machine learning approach was applied to obtain robust regression coefficients and corresponding standard errors. To ascertain the robustness of the model, a technique known as rolling window cross-validation was employed.</p>
</sec>
<sec><h3>Findings.</h3>
<p>The results of this study show that monetary policy decisions and announcements significantly impact the price of cryptocurrencies. The impact on cryptocurrencies is likely to be significant both in the period of economic stability (2018-2020) and in the period of economic shocks (2020-2022). This relationship is likely to be indirect, acting through investor sentiment.</p>
</sec>
<sec><h3>Originality / Value / Practical implications.</h3>
<p>The results of this study may be useful to monetary policymakers, as they reveal the link between their actions and the price of cryptocurrencies. Our model will also be useful for mutual fund managers and private investors, as they can anticipate the price dynamics of cryptocurrencies when assessing monetary policy frameworks.</p>
</sec>
</abstract>

Research purpose.
This study analysed the three cryptocurrencies with the largest market capitalization: Bitcoin, Ether (cryptocurrency built upon the Ethereum project's blockchain technology), and Binance coin, which account for 60% of the total cryptocurrency market capitalization. The purpose of this research was to measure the impact of monetary policy on the price of these cryptocurrencies using an adjusted R squared.

Design / Methodology / Approach.
As dependent variables, we used interest rates controlled by the European Central Bank and the Federal Reserve and reports from the European Central Bank and the Federal Open Market Committee. A robust Elastic Net Regression with Autoregressive Integrated Moving Average (ARIMA) residuals machine learning approach was applied to obtain robust regression coefficients and corresponding standard errors. To ascertain the robustness of the model, a technique known as rolling window cross-validation was employed.

Findings.
The results of this study show that monetary policy decisions and announcements significantly impact the price of cryptocurrencies. The impact on cryptocurrencies is likely to be significant both in the period of economic stability (2018-2020) and in the period of economic shocks (2020-2022). This relationship is likely to be indirect, acting through investor sentiment.

Originality / Value / Practical implications.
The results of this study may be useful to monetary policymakers, as they reveal the link between their actions and the price of cryptocurrencies. Our model will also be useful for mutual fund managers and private investors, as they can anticipate the price dynamics of cryptocurrencies when assessing monetary policy frameworks.

Effect of Monetary Policy Decisions and Announcements on the Price of Cryptocurrencies: An Elastic-Net With Arima Residuals Approach

Economics and Culture

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research purpose.
This study analysed the three cryptocurrencies with the largest market capitalization: Bitcoin, Ether (cryptocurrency built upon the Ethereum...

Effect of Monetary Policy Decisions and Announcements on the Price of Cryptocurrencies: An Elastic-Net With Arima Residuals Approach

Data publikacji: 20 cze 2024

Zakres stron: 77 - 92

Otrzymano: 29 lut 2024

Przyjęty: 07 maj 2024

DOI: https://doi.org/10.2478/jec-2024-0006

Słowa kluczowe
cryptocurrency, monetary policy, elastic net, ARIMA

© 2024 Tomas Peciulis et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Effect of Monetary Policy Decisions and Announcements on the Price of Cryptocurrencies: An Elastic-Net With Arima Residuals Approach

Data publikacji: 20 cze 2024

Zakres stron: 77 - 92

Otrzymano: 29 lut 2024

Przyjęty: 07 maj 2024

DOI: https://doi.org/10.2478/jec-2024-0006

Słowa kluczowecryptocurrency, monetary policy, elastic net, ARIMA

© 2024 Tomas Peciulis et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
cryptocurrency, monetary policy, elastic net, ARIMA