Correlation Between Brenmiller Energy and Tokyo Electric
Can any of the company-specific risk be diversified away by investing in both Brenmiller Energy and Tokyo 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 Brenmiller Energy and Tokyo Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brenmiller Energy Ltd and Tokyo Electric Power, you can compare the effects of market volatilities on Brenmiller Energy and Tokyo 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 Brenmiller Energy with a short position of Tokyo Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brenmiller Energy and Tokyo Electric.
Diversification Opportunities for Brenmiller Energy and Tokyo Electric
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Brenmiller and Tokyo is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Brenmiller Energy Ltd and Tokyo Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tokyo Electric Power and Brenmiller Energy 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 Brenmiller Energy Ltd are associated (or correlated) with Tokyo Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tokyo Electric Power has no effect on the direction of Brenmiller Energy i.e., Brenmiller Energy and Tokyo Electric go up and down completely randomly.
Pair Corralation between Brenmiller Energy and Tokyo Electric
Given the investment horizon of 90 days Brenmiller Energy Ltd is expected to generate 1.8 times more return on investment than Tokyo Electric. However, Brenmiller Energy is 1.8 times more volatile than Tokyo Electric Power. It trades about 0.37 of its potential returns per unit of risk. Tokyo Electric Power is currently generating about -0.11 per unit of risk. If you would invest 82.00 in Brenmiller Energy Ltd on October 5, 2024 and sell it today you would earn a total of 75.00 from holding Brenmiller Energy Ltd or generate 91.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Brenmiller Energy Ltd vs. Tokyo Electric Power
Performance |
Timeline |
Brenmiller Energy |
Tokyo Electric Power |
Brenmiller Energy and Tokyo Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brenmiller Energy and Tokyo Electric
The main advantage of trading using opposite Brenmiller Energy and Tokyo Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brenmiller Energy position performs unexpectedly, Tokyo 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 Tokyo Electric will offset losses from the drop in Tokyo Electric's long position.Brenmiller Energy vs. Verde Clean Fuels | Brenmiller Energy vs. Smart Powerr Corp | Brenmiller Energy vs. Ormat Technologies | Brenmiller Energy vs. Tokyo Electric Power |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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