Correlation Between Mitsubishi Electric and FREYR Battery
Can any of the company-specific risk be diversified away by investing in both Mitsubishi Electric and FREYR Battery 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 Electric and FREYR Battery into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mitsubishi Electric and FREYR Battery SA, you can compare the effects of market volatilities on Mitsubishi Electric and FREYR Battery 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 Electric with a short position of FREYR Battery. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mitsubishi Electric and FREYR Battery.
Diversification Opportunities for Mitsubishi Electric and FREYR Battery
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mitsubishi and FREYR is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Mitsubishi Electric and FREYR Battery SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FREYR Battery SA and Mitsubishi Electric 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 Electric are associated (or correlated) with FREYR Battery. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FREYR Battery SA has no effect on the direction of Mitsubishi Electric i.e., Mitsubishi Electric and FREYR Battery go up and down completely randomly.
Pair Corralation between Mitsubishi Electric and FREYR Battery
Assuming the 90 days horizon Mitsubishi Electric is expected to generate 37.45 times less return on investment than FREYR Battery. But when comparing it to its historical volatility, Mitsubishi Electric is 5.08 times less risky than FREYR Battery. It trades about 0.04 of its potential returns per unit of risk. FREYR Battery SA is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 97.00 in FREYR Battery SA on September 1, 2024 and sell it today you would earn a total of 110.00 from holding FREYR Battery SA or generate 113.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mitsubishi Electric vs. FREYR Battery SA
Performance |
Timeline |
Mitsubishi Electric |
FREYR Battery SA |
Mitsubishi Electric and FREYR Battery Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mitsubishi Electric and FREYR Battery
The main advantage of trading using opposite Mitsubishi Electric and FREYR Battery positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mitsubishi Electric position performs unexpectedly, FREYR Battery 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 FREYR Battery will offset losses from the drop in FREYR Battery's long position.Mitsubishi Electric vs. AFC Energy plc | Mitsubishi Electric vs. Loop Energy | Mitsubishi Electric vs. Sunrise New Energy | Mitsubishi Electric vs. Energizer Holdings |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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