Correlation Between Methode Electronics and M Tron
Can any of the company-specific risk be diversified away by investing in both Methode Electronics and M Tron 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 Methode Electronics and M Tron into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Methode Electronics and M tron Industries, you can compare the effects of market volatilities on Methode Electronics and M Tron 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 Methode Electronics with a short position of M Tron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Methode Electronics and M Tron.
Diversification Opportunities for Methode Electronics and M Tron
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Methode and MPTI is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Methode Electronics and M tron Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M tron Industries and Methode Electronics 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 Methode Electronics are associated (or correlated) with M Tron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M tron Industries has no effect on the direction of Methode Electronics i.e., Methode Electronics and M Tron go up and down completely randomly.
Pair Corralation between Methode Electronics and M Tron
Considering the 90-day investment horizon Methode Electronics is expected to generate 4.57 times less return on investment than M Tron. In addition to that, Methode Electronics is 1.0 times more volatile than M tron Industries. It trades about 0.06 of its total potential returns per unit of risk. M tron Industries is currently generating about 0.29 per unit of volatility. If you would invest 3,511 in M tron Industries on September 3, 2024 and sell it today you would earn a total of 3,045 from holding M tron Industries or generate 86.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Methode Electronics vs. M tron Industries
Performance |
Timeline |
Methode Electronics |
M tron Industries |
Methode Electronics and M Tron Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Methode Electronics and M Tron
The main advantage of trading using opposite Methode Electronics and M Tron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Methode Electronics position performs unexpectedly, M Tron 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 M Tron will offset losses from the drop in M Tron's long position.Methode Electronics vs. Celestica | Methode Electronics vs. Benchmark Electronics | Methode Electronics vs. Flex | Methode Electronics vs. Jabil Circuit |
M Tron vs. Ieh Corp | M Tron vs. Micropac Industries | M Tron vs. Deswell Industries | M Tron vs. Methode Electronics |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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