Correlation Between XMX and REDLANG

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

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

Diversification Opportunities for XMX and REDLANG

-0.62

Correlation Coefficient

XMX  REDLANG

Excellent diversification

The 3 months correlation between XMX and REDLANG is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding XMX and REDLANG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on REDLANG and XMX 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 XMX are associated (or correlated) with REDLANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of REDLANG has no effect on the direction of XMX i.e., XMX and REDLANG go up and down completely randomly.

Pair Corralation between XMX and REDLANG

If you would invest  0.09  in REDLANG on July 10, 2025 and sell it today you would earn a total of  0.05  from holding REDLANG or generate 51.8% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	1.56%
Values	Daily Returns

XMX  vs.  REDLANG

XMX

Risk-Adjusted Performance

Weakest

Over the last 90 days XMX has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, XMX is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

REDLANG

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in REDLANG are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady essential indicators, REDLANG reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with XMX and REDLANG

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

The idea behind XMX and REDLANG 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.

Check out your portfolio center.

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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.