Correlation Between Medical Packaging and Industrial Engineering

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Medical Packaging and Industrial Engineering 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 Medical Packaging and Industrial Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Medical Packaging and Industrial Engineering Projects, you can compare the effects of market volatilities on Medical Packaging and Industrial Engineering 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 Medical Packaging with a short position of Industrial Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medical Packaging and Industrial Engineering.

Diversification Opportunities for Medical Packaging and Industrial Engineering

0.19
  Correlation Coefficient

Average diversification

The 3 months correlation between Medical and Industrial is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Medical Packaging and Industrial Engineering Project in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial Engineering and Medical Packaging 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 Medical Packaging are associated (or correlated) with Industrial Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial Engineering has no effect on the direction of Medical Packaging i.e., Medical Packaging and Industrial Engineering go up and down completely randomly.

Pair Corralation between Medical Packaging and Industrial Engineering

Assuming the 90 days trading horizon Medical Packaging is expected to under-perform the Industrial Engineering. But the stock apears to be less risky and, when comparing its historical volatility, Medical Packaging is 1.53 times less risky than Industrial Engineering. The stock trades about -0.22 of its potential returns per unit of risk. The Industrial Engineering Projects is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  25.00  in Industrial Engineering Projects on September 5, 2024 and sell it today you would earn a total of  1.00  from holding Industrial Engineering Projects or generate 4.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy94.74%
ValuesDaily Returns

Medical Packaging  vs.  Industrial Engineering Project

 Performance 
       Timeline  
Medical Packaging 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Medical Packaging has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's technical and fundamental indicators remain nearly stable which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.
Industrial Engineering 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Industrial Engineering Projects has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable technical and fundamental indicators, Industrial Engineering is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Medical Packaging and Industrial Engineering Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Medical Packaging and Industrial Engineering

The main advantage of trading using opposite Medical Packaging and Industrial Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medical Packaging position performs unexpectedly, Industrial Engineering 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 Industrial Engineering will offset losses from the drop in Industrial Engineering's long position.
The idea behind Medical Packaging and Industrial Engineering Projects 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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.

Other Complementary Tools

Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
FinTech Suite
Use AI to screen and filter profitable investment opportunities
Global Correlations
Find global opportunities by holding instruments from different markets
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets