Correlation Between LOOM and XRP

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

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

Diversification Opportunities for LOOM and XRP

-0.19

Correlation Coefficient

LOOM  XRP

Good diversification

The 3 months correlation between LOOM and XRP is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding LOOM and XRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XRP and LOOM 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 LOOM are associated (or correlated) with XRP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XRP has no effect on the direction of LOOM i.e., LOOM and XRP go up and down completely randomly.

Pair Corralation between LOOM and XRP

Assuming the 90 days trading horizon LOOM is expected to under-perform the XRP. In addition to that, LOOM is 3.64 times more volatile than XRP. It trades about -0.24 of its total potential returns per unit of risk. XRP is currently generating about 0.17 per unit of volatility. If you would invest  218.00  in XRP on April 24, 2025 and sell it today you would earn a total of  100.00  from holding XRP or generate 45.87% return on investment over 90 days.

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

LOOM  vs.  XRP

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 weak 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.

XRP

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in XRP are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XRP exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with LOOM and XRP

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

The idea behind LOOM and XRP 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.