Correlation Between Xometry and Scientific Industries

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Can any of the company-specific risk be diversified away by investing in both Xometry and Scientific 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 Scientific Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xometry and Scientific Industries, you can compare the effects of market volatilities on Xometry and Scientific 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 Scientific Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xometry and Scientific Industries.

Diversification Opportunities for Xometry and Scientific Industries

-0.58
  Correlation Coefficient

Excellent diversification

The 3 months correlation between Xometry and Scientific is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Xometry and Scientific Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientific 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 Scientific Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientific Industries has no effect on the direction of Xometry i.e., Xometry and Scientific Industries go up and down completely randomly.

Pair Corralation between Xometry and Scientific Industries

Given the investment horizon of 90 days Xometry is expected to generate 0.58 times more return on investment than Scientific Industries. However, Xometry is 1.73 times less risky than Scientific Industries. It trades about 0.35 of its potential returns per unit of risk. Scientific Industries is currently generating about -0.04 per unit of risk. If you would invest  1,753  in Xometry on October 1, 2024 and sell it today you would earn a total of  2,665  from holding Xometry or generate 152.03% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Xometry  vs.  Scientific Industries

 Performance 
       Timeline  
Xometry 

Risk-Adjusted Performance

27 of 100

 
Weak
 
Strong
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Xometry are ranked lower than 27 (%) of all global equities and portfolios over the last 90 days. Even with relatively weak basic indicators, Xometry reported solid returns over the last few months and may actually be approaching a breakup point.
Scientific Industries 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Scientific Industries has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of inconsistent performance in the last few months, the Stock's basic indicators remain rather sound which may send shares a bit higher in January 2025. The latest tumult may also be a sign of longer-term up-swing for the firm shareholders.

Xometry and Scientific Industries Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Xometry and Scientific Industries

The main advantage of trading using opposite Xometry and Scientific Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xometry position performs unexpectedly, Scientific 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 Scientific Industries will offset losses from the drop in Scientific Industries' long position.
The idea behind Xometry and Scientific 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

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