Mailinda Tri Wahyuni, E. Ridwan, Dwi Fitrizal Salim
{"title":"US macroeconomic determinants of Bitcoin","authors":"Mailinda Tri Wahyuni, E. Ridwan, Dwi Fitrizal Salim","doi":"10.21511/imfi.21(2).2024.19","DOIUrl":null,"url":null,"abstract":"This study aims to determine the impact of macroeconomic variables on bitcoin prices in the United States. Bitcoin is one of the cryptocurrencies that has the highest price and the most users in the United States in recent years. This study uses monthly data on inflation, interest rates, USD/EUR rates, gold prices, and bitcoin prices. To achieve the objectives of this study, Dynamic Conditional Correlation (DCC) and Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) were used. The results showed that there is a negative and significant relationship between the variables of inflation, interest rates, and USD/EUR rates affecting the price of Bitcoin in that period. Conversely, there is a positive and significant relationship between the price of gold and the price of Bitcoin in the United States during that period. An in-depth understanding of how macroeconomic factors such as inflation, interest rates and the USD/EUR rates affect Bitcoin price is key to making smart investment decisions in an increasingly complex crypto market. The findings of this analysis confirm that the significant relationship between macroeconomic variables and Bitcoin price provides deeper insights for investors to anticipate market movements and design adaptive investment strategies.","PeriodicalId":39060,"journal":{"name":"Investment Management and Financial Innovations","volume":"20 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investment Management and Financial Innovations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21511/imfi.21(2).2024.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to determine the impact of macroeconomic variables on bitcoin prices in the United States. Bitcoin is one of the cryptocurrencies that has the highest price and the most users in the United States in recent years. This study uses monthly data on inflation, interest rates, USD/EUR rates, gold prices, and bitcoin prices. To achieve the objectives of this study, Dynamic Conditional Correlation (DCC) and Multivariate Generalized Autoregressive Conditional Heteroscedasticity (MGARCH) were used. The results showed that there is a negative and significant relationship between the variables of inflation, interest rates, and USD/EUR rates affecting the price of Bitcoin in that period. Conversely, there is a positive and significant relationship between the price of gold and the price of Bitcoin in the United States during that period. An in-depth understanding of how macroeconomic factors such as inflation, interest rates and the USD/EUR rates affect Bitcoin price is key to making smart investment decisions in an increasingly complex crypto market. The findings of this analysis confirm that the significant relationship between macroeconomic variables and Bitcoin price provides deeper insights for investors to anticipate market movements and design adaptive investment strategies.
期刊介绍:
The international journal “Investment Management and Financial Innovations” encompasses the results of theoretical and empirical researches carried out both on macro- and micro-levels, concerning various aspects of financial management and corporate governance, investments and innovations (including using of quantitative methods). It is focused on the international community of financiers, both academics and practitioners. Key topics: financial and investment markets; government policy and regulation; corporate governance; information and market efficiency; financial forecasting and simulation; financial institutions: investment companies, investment funds, investment banks, hedge funds, private pension funds; objects of real and financial investing; financial instruments and derivatives; efficiency of investment projects; econometric and statistic methods in project management; alternative investments; ratings and rating agencies.