Correlation Between CANON MARKETING and FuelCell Energy
Can any of the company-specific risk be diversified away by investing in both CANON MARKETING and FuelCell Energy 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 CANON MARKETING and FuelCell Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CANON MARKETING JP and FuelCell Energy, you can compare the effects of market volatilities on CANON MARKETING and FuelCell Energy 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 CANON MARKETING with a short position of FuelCell Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of CANON MARKETING and FuelCell Energy.
Diversification Opportunities for CANON MARKETING and FuelCell Energy
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between CANON and FuelCell is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding CANON MARKETING JP and FuelCell Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FuelCell Energy and CANON MARKETING 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 CANON MARKETING JP are associated (or correlated) with FuelCell Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FuelCell Energy has no effect on the direction of CANON MARKETING i.e., CANON MARKETING and FuelCell Energy go up and down completely randomly.
Pair Corralation between CANON MARKETING and FuelCell Energy
Assuming the 90 days trading horizon CANON MARKETING JP is expected to generate 0.23 times more return on investment than FuelCell Energy. However, CANON MARKETING JP is 4.28 times less risky than FuelCell Energy. It trades about 0.07 of its potential returns per unit of risk. FuelCell Energy is currently generating about -0.03 per unit of risk. If you would invest 2,060 in CANON MARKETING JP on September 20, 2024 and sell it today you would earn a total of 1,120 from holding CANON MARKETING JP or generate 54.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
CANON MARKETING JP vs. FuelCell Energy
Performance |
Timeline |
CANON MARKETING JP |
FuelCell Energy |
CANON MARKETING and FuelCell Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CANON MARKETING and FuelCell Energy
The main advantage of trading using opposite CANON MARKETING and FuelCell Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CANON MARKETING position performs unexpectedly, FuelCell Energy 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 FuelCell Energy will offset losses from the drop in FuelCell Energy's long position.CANON MARKETING vs. National Beverage Corp | CANON MARKETING vs. UET United Electronic | CANON MARKETING vs. NorAm Drilling AS | CANON MARKETING vs. Molson Coors Beverage |
FuelCell Energy vs. CANON MARKETING JP | FuelCell Energy vs. FAST RETAIL ADR | FuelCell Energy vs. Lion One Metals | FuelCell Energy vs. CARSALESCOM |
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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