Correlation Between Marqeta and CleanSpark
Can any of the company-specific risk be diversified away by investing in both Marqeta and CleanSpark 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 Marqeta and CleanSpark into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marqeta and CleanSpark, you can compare the effects of market volatilities on Marqeta and CleanSpark 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 Marqeta with a short position of CleanSpark. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marqeta and CleanSpark.
Diversification Opportunities for Marqeta and CleanSpark
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Marqeta and CleanSpark is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Marqeta and CleanSpark in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CleanSpark and Marqeta 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 Marqeta are associated (or correlated) with CleanSpark. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CleanSpark has no effect on the direction of Marqeta i.e., Marqeta and CleanSpark go up and down completely randomly.
Pair Corralation between Marqeta and CleanSpark
Allowing for the 90-day total investment horizon Marqeta is expected to generate 0.6 times more return on investment than CleanSpark. However, Marqeta is 1.65 times less risky than CleanSpark. It trades about 0.06 of its potential returns per unit of risk. CleanSpark is currently generating about -0.05 per unit of risk. If you would invest 377.00 in Marqeta on December 30, 2024 and sell it today you would earn a total of 42.00 from holding Marqeta or generate 11.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Marqeta vs. CleanSpark
Performance |
Timeline |
Marqeta |
CleanSpark |
Marqeta and CleanSpark Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marqeta and CleanSpark
The main advantage of trading using opposite Marqeta and CleanSpark positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marqeta position performs unexpectedly, CleanSpark 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 CleanSpark will offset losses from the drop in CleanSpark's long position.The idea behind Marqeta and CleanSpark 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.CleanSpark vs. Hut 8 Corp | CleanSpark vs. HIVE Blockchain Technologies | CleanSpark vs. Bit Digital | CleanSpark vs. Terawulf |
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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