Correlation Between BLZ and LOOM

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

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

Diversification Opportunities for BLZ and LOOM

-0.01

Correlation Coefficient

BLZ  LOOM

Good diversification

The 3 months correlation between BLZ and LOOM is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and LOOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LOOM 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 LOOM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LOOM has no effect on the direction of BLZ i.e., BLZ and LOOM go up and down completely randomly.

Pair Corralation between BLZ and LOOM

Assuming the 90 days trading horizon BLZ is expected to generate 0.3 times more return on investment than LOOM. However, BLZ is 3.29 times less risky than LOOM. It trades about 0.07 of its potential returns per unit of risk. LOOM is currently generating about -0.24 per unit of risk. If you would invest  3.31  in BLZ on April 21, 2025 and sell it today you would earn a total of  0.46  from holding BLZ or generate 13.9% return on investment over 90 days.

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

BLZ  vs.  LOOM

BLZ

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in BLZ are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BLZ exhibited solid returns over the last few months and may actually be approaching a breakup point.

LOOM

Risk-Adjusted Performance

Very Weak

Over the last 90 days LOOM 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 August 2025. The latest tumult may also be a sign of longer-term up-swing for LOOM shareholders.

Pair Trading with BLZ and LOOM

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

The idea behind BLZ and LOOM 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.