Correlation Between XLM and UGAS

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

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

Diversification Opportunities for XLM and UGAS

0.14

Correlation Coefficient

XLM  UGAS

Average diversification

The 3 months correlation between XLM and UGAS is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding XLM and UGAS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UGAS and XLM 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 XLM are associated (or correlated) with UGAS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UGAS has no effect on the direction of XLM i.e., XLM and UGAS go up and down completely randomly.

Pair Corralation between XLM and UGAS

Assuming the 90 days trading horizon XLM is expected to generate 0.61 times more return on investment than UGAS. However, XLM is 1.63 times less risky than UGAS. It trades about 0.09 of its potential returns per unit of risk. UGAS is currently generating about -0.1 per unit of risk. If you would invest  32.00  in XLM on May 9, 2025 and sell it today you would earn a total of  8.00  from holding XLM or generate 25.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	98.46%
Values	Daily Returns

XLM  vs.  UGAS

XLM

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in XLM are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather weak primary indicators, XLM exhibited solid returns over the last few months and may actually be approaching a breakup point.

UGAS

Risk-Adjusted Performance

Weakest

Over the last 90 days UGAS 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 UGAS shareholders.

Pair Trading with XLM and UGAS

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

The idea behind XLM and UGAS 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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.