Correlation Between Mitsubishi Heavy and Schneider Electric

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

Diversification Opportunities for Mitsubishi Heavy and Schneider Electric

-0.38
  Correlation Coefficient

Very good diversification

The 3 months correlation between Mitsubishi and Schneider is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi Heavy Industries and Schneider Electric SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Schneider Electric and Mitsubishi Heavy 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 Mitsubishi Heavy Industries are associated (or correlated) with Schneider Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Schneider Electric has no effect on the direction of Mitsubishi Heavy i.e., Mitsubishi Heavy and Schneider Electric go up and down completely randomly.

Pair Corralation between Mitsubishi Heavy and Schneider Electric

Assuming the 90 days horizon Mitsubishi Heavy Industries is expected to generate 2.76 times more return on investment than Schneider Electric. However, Mitsubishi Heavy is 2.76 times more volatile than Schneider Electric SE. It trades about 0.12 of its potential returns per unit of risk. Schneider Electric SE is currently generating about -0.18 per unit of risk. If you would invest  853.00  in Mitsubishi Heavy Industries on January 19, 2024 and sell it today you would earn a total of  60.00  from holding Mitsubishi Heavy Industries or generate 7.03% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Mitsubishi Heavy Industries  vs.  Schneider Electric SE

 Performance 
       Timeline  
Mitsubishi Heavy Ind 

Risk-Adjusted Performance

24 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Mitsubishi Heavy Industries are ranked lower than 24 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, Mitsubishi Heavy reported solid returns over the last few months and may actually be approaching a breakup point.
Schneider Electric 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Schneider Electric SE are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite nearly unsteady basic indicators, Schneider Electric reported solid returns over the last few months and may actually be approaching a breakup point.

Mitsubishi Heavy and Schneider Electric Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Mitsubishi Heavy and Schneider Electric

The main advantage of trading using opposite Mitsubishi Heavy and Schneider Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi Heavy position performs unexpectedly, Schneider Electric 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 Schneider Electric will offset losses from the drop in Schneider Electric's long position.
The idea behind Mitsubishi Heavy Industries and Schneider Electric SE 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Other Complementary Tools

Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Efficient Frontier
Plot and analyze your portfolio and positions against risk-return landscape of the market.
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities