Correlation Between Integral and Stratasys

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

Diversification Opportunities for Integral and Stratasys

0.4
  Correlation Coefficient

Very weak diversification

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

Pair Corralation between Integral and Stratasys

Considering the 90-day investment horizon Integral Ad Science is expected to under-perform the Stratasys. But the stock apears to be less risky and, when comparing its historical volatility, Integral Ad Science is 1.76 times less risky than Stratasys. The stock trades about -0.09 of its potential returns per unit of risk. The Stratasys is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  926.00  in Stratasys on December 21, 2024 and sell it today you would earn a total of  113.00  from holding Stratasys or generate 12.2% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Integral Ad Science  vs.  Stratasys

 Performance 
       Timeline  
Integral Ad Science 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Integral Ad Science 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 Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.
Stratasys 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Stratasys are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unfluctuating basic indicators, Stratasys unveiled solid returns over the last few months and may actually be approaching a breakup point.

Integral and Stratasys Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Integral and Stratasys

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