Correlation Between Big Tree and Energizer Holdings
Can any of the company-specific risk be diversified away by investing in both Big Tree and Energizer Holdings 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 Big Tree and Energizer Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Big Tree Cloud and Energizer Holdings, you can compare the effects of market volatilities on Big Tree and Energizer Holdings 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 Big Tree with a short position of Energizer Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Big Tree and Energizer Holdings.
Diversification Opportunities for Big Tree and Energizer Holdings
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Big and Energizer is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Big Tree Cloud and Energizer Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energizer Holdings and Big Tree 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 Big Tree Cloud are associated (or correlated) with Energizer Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energizer Holdings has no effect on the direction of Big Tree i.e., Big Tree and Energizer Holdings go up and down completely randomly.
Pair Corralation between Big Tree and Energizer Holdings
Considering the 90-day investment horizon Big Tree Cloud is expected to under-perform the Energizer Holdings. In addition to that, Big Tree is 8.73 times more volatile than Energizer Holdings. It trades about -0.03 of its total potential returns per unit of risk. Energizer Holdings is currently generating about 0.17 per unit of volatility. If you would invest 3,215 in Energizer Holdings on August 30, 2024 and sell it today you would earn a total of 611.00 from holding Energizer Holdings or generate 19.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Big Tree Cloud vs. Energizer Holdings
Performance |
Timeline |
Big Tree Cloud |
Energizer Holdings |
Big Tree and Energizer Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Big Tree and Energizer Holdings
The main advantage of trading using opposite Big Tree and Energizer Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Big Tree position performs unexpectedly, Energizer Holdings 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 Energizer Holdings will offset losses from the drop in Energizer Holdings' long position.Big Tree vs. Cincinnati Financial | Big Tree vs. Assurant | Big Tree vs. United Fire Group | Big Tree vs. Guangdong Investment Limited |
Energizer Holdings vs. Acuity Brands | Energizer Holdings vs. Espey Mfg Electronics | Energizer Holdings vs. Preformed Line Products | Energizer Holdings vs. Kimball 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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