Introduction
Blockchain-based cryptocurrencies have surged in popularity, breaking historical value records and capturing significant attention in both academic circles and mainstream media. This study aims to provide valuable data for investors looking to evaluate their investments in these digital assets. By examining the correlation between Bitcoin and traditional financial instruments like the S&P 500 Index and US 10-year Treasury bonds, as well as altcoins such as Ethereum, Cardano, and Chainlink, we seek to shed light on the dynamics of modern investment portfolios.
The transition from industrial to information society has revolutionized global economic dynamics, with blockchain technology emerging as a transformative force. This decentralized system eliminates the need for central authorities, enabling peer-to-peer asset transfers through distributed cryptographic ledgers. The trust mechanism in blockchain is technically robust, relying on multiple nodes and mathematical operations rather than individual institutions.
Understanding Blockchain and Cryptocurrencies
Blockchain technology stands out for its decentralized structure, transparency, and immutability. It saves data copies across thousands of network nodes, facilitates transaction tracking, and prevents alterations to recorded data. Bitcoin, the first application of blockchain technology, introduced a novel payment network and currency system in 2009. Subsequent altcoins have continued this technological revolution, combining elements from multiple scientific disciplines.
Cryptocurrencies offer a new money transfer system based on distributed blockchain networks instead of traditional central bank guarantees. Participants, known as "miners," maintain blockchain records through cryptographic calculations, receiving commodity-like assets in return for their labor and energy expenditure.
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Literature Review
The growing prominence of blockchain technology and cryptocurrencies has sparked numerous studies examining their relationships with traditional financial instruments, exchange rates, and precious metals. Previous research has employed various methodologies to understand these connections:
- Atik et al. (2015) found a causal relationship between the Japanese Yen and Bitcoin using Granger causality analysis
- Bocconi Students Investment Club (2017) applied Markowitz portfolio theory to demonstrate how cryptocurrency diversification can optimize portfolios
- Nam (2017) showed that Bitcoin has the potential to enhance portfolio performance when combined with traditional assets
- Nunes (2017) identified a long-term relationship between 6-month US Treasury yields and Bitcoin prices
- More recent studies have continued to explore these relationships with increasingly sophisticated methodologies
This study builds upon existing research while addressing gaps in understanding the causality between selected cryptocurrencies and traditional investment tools.
Research Methodology
Hypothesis and Model
This research aims to provide data for evaluating investments in blockchain-based cryptocurrencies. The study tests the following hypotheses:
- H0: Bitcoin is not affected by S&P500 Index, US 10 Year Treasury, and altcoin values
- H1: Bitcoin is affected by the S&P500 Index, US 10 Year Treasury, and altcoin values
The research model assumes an investor with $100,000 in savings from one year ago would consider investing in Bitcoin, Ethereum, Cardano, and Chainlink—selected from the top cryptocurrencies by market value. The study examines the causal relationships between these currencies, the US 10-year Treasury (as a safe investment tool), and the S&P 500 index.
The mathematical model used in the research is expressed as:
Yₜ = c + α₁Eₜ + α₂Aₜ + α₃ Lₜ + α₄Sₜ + α₅Mₜ + εₜ
Where:
- Y: Bitcoin (dependent variable)
- E: Ethereum, A: Cardano, L: Chainlink, S: S&P500 Index, M: US 10 Year Treasury
- ε: error term
Data Collection and Processing
The study analyzed weekly data from January 16, 2020, to January 16, 2021, for Bitcoin (BTC), Ethereum (ETH), Cardano (ADA), and Chainlink (LINK) cryptocurrencies, along with US 10-Year Treasury bonds and the S&P 500 index. Data was obtained from reliable financial sources, and weekly return rates were calculated starting from January 19, 2020.
Federal Reserve interest rate decisions were also considered for comparison with deposit interest rates, though their periodicity didn't align with other variables for model inclusion.
Analysis and Findings
Return and Risk Assessment
The analysis revealed significant differences in return and risk profiles among the investment instruments:
| Investment | Average Return | Return Ranking | Standard Deviation | Risk Ranking |
|---|---|---|---|---|
| Chainlink | 6.22% | 1 | 19.31% | 1 |
| Cardano | 5.74% | 2 | 18.59% | 2 |
| Ethereum | 5.20% | 3 | 15.31% | 3 |
| Bitcoin | 3.61% | 4 | 10.84% | 5 |
| FED Rate | 0.47% | 5 | 0.51% | 7 |
| S&P 500 | 0.36% | 6 | 4.45% | 6 |
| Treasury | -0.02% | 7 | 13.09% | 4 |
Chainlink demonstrated the highest return at 6.22% but also carried the highest risk. Cardano and Ethereum followed with returns of 5.74% and 5.20% respectively. Bitcoin showed a moderate return of 3.61% with relatively lower risk compared to altcoins. The US 10-year Treasury offered the lowest return with a 0.02% loss and was riskier than Bitcoin.
Correlation Analysis
The covariance analysis revealed several important relationships:
- Bitcoin showed an increasing linear relationship with Ethereum, Cardano, and Chainlink
- Bitcoin demonstrated a decreasing linear relationship with FED interest rates and US 10-year Treasury
- No significant relationship was found between Bitcoin and the S&P500 Index
- Ethereum proved linearly linked to Cardano and Chainlink but unrelated to the S&P500 index and US 10-year Treasury
- Chainlink showed no correlation with FED interest rates, US 10-year Treasury, or S&P500 Index
The research model explained 98% of changes in Bitcoin prices, with the F statistic rejecting the null hypothesis. A significant relationship was found between Bitcoin and Ethereum, where a 1-unit increase in ETH resulted in a 0.85 increase in BTC.
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Conclusion
Blockchain-based cryptocurrencies continue to gain popularity worldwide, with adoption expanding across broad economic spectra. This study provides valuable insights for investors assessing their cryptocurrency investments in relation to traditional instruments.
Key findings indicate that among cryptocurrencies, Chainlink offers the highest returns but also carries the highest risk. The direct proportional relationship between higher average returns and higher risk classifications highlights the risk-return tradeoff inherent in cryptocurrency investing. Compared to traditional instruments, cryptocurrencies generally offer higher average returns, followed by interest rates and the S&P500 Index.
The COVID-19 pandemic has accelerated digital transformation and may have lasting effects on investment behaviors. The transition to blockchain technology, strengthened technological development, and changing business conditions suggest that interest in and awareness of cryptocurrencies will likely continue growing in coming periods.
Central banks worldwide are increasingly exploring national digital currencies using blockchain technologies, further validating the potential of this innovation.
Limitations and Future Research
This study has several limitations, including its focus on only three altcoins and specific traditional instruments (US-10 Treasury, S&P 500 Index, and FED interest rates). Future research could expand this scope by including additional variables such as:
- Precious metals (gold, silver)
- Oil prices
- Other global indexes
- Additional altcoins
- Exchange rates
Further studies could also examine the prolonged effects of the coronavirus pandemic on different investment tools and repeat this analysis across different time periods to validate and expand upon these findings.
Frequently Asked Questions
What is the main purpose of this research?
This study aims to provide data for investors evaluating blockchain-based cryptocurrency investments by examining correlations between Bitcoin, major altcoins, and traditional investment instruments like the S&P 500 and US Treasury bonds.
Which cryptocurrency showed the highest returns in the study?
Chainlink demonstrated the highest average return at 6.22%, though it also carried the highest risk among the cryptocurrencies analyzed. Cardano and Ethereum followed with returns of 5.74% and 5.20% respectively.
How does Bitcoin correlate with traditional investment instruments?
The research found Bitcoin has a decreasing linear relationship with FED interest rates and US 10-year Treasury bonds, while showing no significant relationship with the S&P500 Index. It maintains increasing linear relationships with major altcoins like Ethereum, Cardano, and Chainlink.
What methodology was used in this analysis?
The study employed Granger causality testing to examine relationships between variables. This method structures events in chronological order to determine if previous events can cause subsequent events, helping predict future values of dependent variables.
How did the COVID-19 pandemic affect the research?
The pandemic period represented in the data (2020-2021) introduced unique market conditions. Researchers added a dummy variable to account for the initiation of coronavirus vaccine administration, which appeared to increase Bitcoin values by approximately 0.14 units during vaccination periods.
Are cryptocurrencies riskier than traditional investments?
The study found that altcoins generally carried higher risk than traditional instruments, with Chainlink, Cardano, and Ethereum showing the highest risk levels. However, Bitcoin demonstrated lower risk than the US 10-year Treasury while offering higher returns, suggesting a potentially favorable risk-return profile.