Correlation Between Orbs and Bitcoin Cash
Can any of the company-specific risk be diversified away by investing in both Orbs and Bitcoin Cash 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 Orbs and Bitcoin Cash into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orbs and Bitcoin Cash, you can compare the effects of market volatilities on Orbs and Bitcoin Cash 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 Orbs with a short position of Bitcoin Cash. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orbs and Bitcoin Cash.
Diversification Opportunities for Orbs and Bitcoin Cash
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Orbs and Bitcoin is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Orbs and Bitcoin Cash in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin Cash and Orbs 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 Orbs are associated (or correlated) with Bitcoin Cash. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin Cash has no effect on the direction of Orbs i.e., Orbs and Bitcoin Cash go up and down completely randomly.
Pair Corralation between Orbs and Bitcoin Cash
Assuming the 90 days trading horizon Orbs is expected to generate 1.17 times more return on investment than Bitcoin Cash. However, Orbs is 1.17 times more volatile than Bitcoin Cash. It trades about 0.19 of its potential returns per unit of risk. Bitcoin Cash is currently generating about 0.22 per unit of risk. If you would invest 2.24 in Orbs on September 2, 2024 and sell it today you would earn a total of 1.52 from holding Orbs or generate 67.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Orbs vs. Bitcoin Cash
Performance |
Timeline |
Orbs |
Bitcoin Cash |
Orbs and Bitcoin Cash Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orbs and Bitcoin Cash
The main advantage of trading using opposite Orbs and Bitcoin Cash positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orbs position performs unexpectedly, Bitcoin Cash 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 Cash will offset losses from the drop in Bitcoin Cash's long position.The idea behind Orbs and Bitcoin Cash 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 Cash vs. Bitcoin Gold | Bitcoin Cash vs. Bitcoin SV | Bitcoin Cash vs. Staked Ether | Bitcoin Cash 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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