Correlation Between Ethereum Classic and Algorand
Can any of the company-specific risk be diversified away by investing in both Ethereum Classic and Algorand at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Ethereum Classic and Algorand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ethereum Classic and Algorand, you can compare the effects of market volatilities on Ethereum Classic and Algorand and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Ethereum Classic with a short position of Algorand. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ethereum Classic and Algorand.
Diversification Opportunities for Ethereum Classic and Algorand
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ethereum and Algorand is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Ethereum Classic and Algorand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algorand and Ethereum Classic is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Ethereum Classic are associated (or correlated) with Algorand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algorand has no effect on the direction of Ethereum Classic i.e., Ethereum Classic and Algorand go up and down completely randomly.
Pair Corralation between Ethereum Classic and Algorand
Assuming the 90 days trading horizon Ethereum Classic is expected to generate 0.74 times more return on investment than Algorand. However, Ethereum Classic is 1.34 times less risky than Algorand. It trades about -0.12 of its potential returns per unit of risk. Algorand is currently generating about -0.1 per unit of risk. If you would invest 3,195 in Ethereum Classic on November 28, 2024 and sell it today you would lose (1,317) from holding Ethereum Classic or give up 41.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ethereum Classic vs. Algorand
Performance |
Timeline |
Ethereum Classic |
Algorand |
Ethereum Classic and Algorand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ethereum Classic and Algorand
The main advantage of trading using opposite Ethereum Classic and Algorand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ethereum Classic position performs unexpectedly, Algorand can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Algorand will offset losses from the drop in Algorand's long position.Ethereum Classic vs. Ethereum PoW | Ethereum Classic vs. Ethereum Name Service | Ethereum Classic vs. Staked Ether | Ethereum Classic vs. Phala Network |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Other Complementary Tools
Global Correlations Find global opportunities by holding instruments from different markets | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |