Correlation Between DigiByte and Bitcoin SV
Can any of the company-specific risk be diversified away by investing in both DigiByte and Bitcoin SV 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 DigiByte and Bitcoin SV into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DigiByte and Bitcoin SV, you can compare the effects of market volatilities on DigiByte and Bitcoin SV 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 DigiByte with a short position of Bitcoin SV. Check out your portfolio center. Please also check ongoing floating volatility patterns of DigiByte and Bitcoin SV.
Diversification Opportunities for DigiByte and Bitcoin SV
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between DigiByte and Bitcoin is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding DigiByte and Bitcoin SV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin SV and DigiByte 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 DigiByte are associated (or correlated) with Bitcoin SV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin SV has no effect on the direction of DigiByte i.e., DigiByte and Bitcoin SV go up and down completely randomly.
Pair Corralation between DigiByte and Bitcoin SV
Assuming the 90 days trading horizon DigiByte is expected to generate 1.3 times less return on investment than Bitcoin SV. But when comparing it to its historical volatility, DigiByte is 1.18 times less risky than Bitcoin SV. It trades about 0.05 of its potential returns per unit of risk. Bitcoin SV is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 4,361 in Bitcoin SV on August 30, 2024 and sell it today you would earn a total of 2,824 from holding Bitcoin SV or generate 64.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
DigiByte vs. Bitcoin SV
Performance |
Timeline |
DigiByte |
Bitcoin SV |
DigiByte and Bitcoin SV Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DigiByte and Bitcoin SV
The main advantage of trading using opposite DigiByte and Bitcoin SV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DigiByte position performs unexpectedly, Bitcoin SV 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 Bitcoin SV will offset losses from the drop in Bitcoin SV's long position.The idea behind DigiByte and Bitcoin SV pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Bitcoin SV vs. Bitcoin Gold | Bitcoin SV vs. Bitcoin Cash | Bitcoin SV vs. Staked Ether | Bitcoin SV vs. EigenLayer |
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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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