Correlation Between Xometry and Chart Industries

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

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

Diversification Opportunities for Xometry and Chart Industries

0.4

Correlation Coefficient

Xometry  Chart Industries

Very weak diversification

The 3 months correlation between Xometry and Chart is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Xometry and Chart Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chart Industries and Xometry 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 Xometry are associated (or correlated) with Chart Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chart Industries has no effect on the direction of Xometry i.e., Xometry and Chart Industries go up and down completely randomly.

Pair Corralation between Xometry and Chart Industries

Given the investment horizon of 90 days Xometry is expected to generate 2.02 times more return on investment than Chart Industries. However, Xometry is 2.02 times more volatile than Chart Industries. It trades about 0.11 of its potential returns per unit of risk. Chart Industries is currently generating about 0.08 per unit of risk. If you would invest  3,056  in Xometry on May 13, 2025 and sell it today you would earn a total of  1,108  from holding Xometry or generate 36.26% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.41%
Values	Daily Returns

Xometry  vs.  Chart Industries

Xometry

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in Xometry are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Even with relatively uncertain basic indicators, Xometry reported solid returns over the last few months and may actually be approaching a breakup point.

Chart Industries

Risk-Adjusted Performance

Mild

Compared to the overall equity markets, risk-adjusted returns on investments in Chart Industries are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively inconsistent essential indicators, Chart Industries unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Xometry and Chart Industries

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

The idea behind Xometry and Chart Industries 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.