Correlation Between Hyperscale Data, and BitFuFu

Can any of the company-specific risk be diversified away by investing in both Hyperscale Data, 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 Hyperscale Data, and BitFuFu into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Hyperscale Data, and BitFuFu Class A, you can compare the effects of market volatilities on Hyperscale Data, 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 Hyperscale Data, with a short position of BitFuFu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyperscale Data, and BitFuFu.

Diversification Opportunities for Hyperscale Data, and BitFuFu

0.69

Correlation Coefficient

Hyperscale Data,  BitFuFu

Poor diversification

The 3 months correlation between Hyperscale and BitFuFu is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Hyperscale Data, 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 Hyperscale Data, 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 Hyperscale Data, 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 Hyperscale Data, i.e., Hyperscale Data, and BitFuFu go up and down completely randomly.

Pair Corralation between Hyperscale Data, and BitFuFu

Given the investment horizon of 90 days Hyperscale Data, is expected to under-perform the BitFuFu. In addition to that, Hyperscale Data, is 1.43 times more volatile than BitFuFu Class A. It trades about -0.12 of its total potential returns per unit of risk. BitFuFu Class A is currently generating about 0.0 per unit of volatility. If you would invest  502.00  in BitFuFu Class A on December 30, 2024 and sell it today you would lose (34.00) from holding BitFuFu Class A or give up 6.77% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Hyperscale Data,  vs.  BitFuFu Class A

Hyperscale Data,

Risk-Adjusted Performance

Very Weak

Over the last 90 days Hyperscale Data, has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.

BitFuFu Class A

Risk-Adjusted Performance

Very Weak

Over the last 90 days BitFuFu Class A has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, BitFuFu is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Hyperscale Data, and BitFuFu

The main advantage of trading using opposite Hyperscale Data, and BitFuFu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyperscale Data, 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 Hyperscale Data, 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.

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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 Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.