Correlation Between Marqeta and BitFuFu
Can any of the company-specific risk be diversified away by investing in both Marqeta and BitFuFu 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 BitFuFu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marqeta and BitFuFu Class A, you can compare the effects of market volatilities on Marqeta and BitFuFu 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 BitFuFu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marqeta and BitFuFu.
Diversification Opportunities for Marqeta and BitFuFu
Very good diversification
The 3 months correlation between Marqeta and BitFuFu is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Marqeta and BitFuFu Class A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BitFuFu Class A 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 BitFuFu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BitFuFu Class A has no effect on the direction of Marqeta i.e., Marqeta and BitFuFu go up and down completely randomly.
Pair Corralation between Marqeta and BitFuFu
Allowing for the 90-day total investment horizon Marqeta is expected to generate 0.67 times more return on investment than BitFuFu. However, Marqeta is 1.5 times less risky than BitFuFu. It trades about 0.07 of its potential returns per unit of risk. BitFuFu Class A is currently generating about 0.0 per unit of risk. If you would invest 377.00 in Marqeta on December 29, 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 | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Marqeta vs. BitFuFu Class A
Performance |
Timeline |
Marqeta |
BitFuFu Class A |
Marqeta and BitFuFu Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marqeta and BitFuFu
The main advantage of trading using opposite Marqeta and BitFuFu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marqeta position performs unexpectedly, BitFuFu 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 BitFuFu will offset losses from the drop in BitFuFu's long position.The idea behind Marqeta and BitFuFu Class A 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.BitFuFu vs. Paysafe | BitFuFu vs. Schweiter Technologies AG | BitFuFu vs. Corsair Gaming | BitFuFu vs. Ryanair Holdings PLC |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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