Correlation Between BLZ and SPACE

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

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

Diversification Opportunities for BLZ and SPACE

0.88

Correlation Coefficient

BLZ  SPACE

Very poor diversification

The 3 months correlation between BLZ and SPACE is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and SPACE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPACE and BLZ 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 BLZ are associated (or correlated) with SPACE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPACE has no effect on the direction of BLZ i.e., BLZ and SPACE go up and down completely randomly.

Pair Corralation between BLZ and SPACE

Assuming the 90 days trading horizon BLZ is expected to generate 0.72 times more return on investment than SPACE. However, BLZ is 1.39 times less risky than SPACE. It trades about -0.05 of its potential returns per unit of risk. SPACE is currently generating about -0.06 per unit of risk. If you would invest  4.12  in BLZ on May 22, 2025 and sell it today you would lose (0.60) from holding BLZ or give up 14.56% of portfolio value over 90 days.

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

BLZ  vs.  SPACE

BLZ

Risk-Adjusted Performance

Weakest

Over the last 90 days BLZ has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's basic indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for BLZ shareholders.

SPACE

Risk-Adjusted Performance

Weakest

Over the last 90 days SPACE has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in September 2025. The latest tumult may also be a sign of longer-term up-swing for SPACE shareholders.

Pair Trading with BLZ and SPACE

The main advantage of trading using opposite BLZ and SPACE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BLZ position performs unexpectedly, SPACE 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 SPACE will offset losses from the drop in SPACE's long position.

The idea behind BLZ and SPACE 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.