Correlation Between SEALED AIR and Enphase Energy
Can any of the company-specific risk be diversified away by investing in both SEALED AIR and Enphase 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 SEALED AIR and Enphase Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEALED AIR and Enphase Energy, you can compare the effects of market volatilities on SEALED AIR and Enphase 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 SEALED AIR with a short position of Enphase Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEALED AIR and Enphase Energy.
Diversification Opportunities for SEALED AIR and Enphase Energy
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SEALED and Enphase is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding SEALED AIR and Enphase Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enphase Energy and SEALED AIR 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 SEALED AIR are associated (or correlated) with Enphase Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enphase Energy has no effect on the direction of SEALED AIR i.e., SEALED AIR and Enphase Energy go up and down completely randomly.
Pair Corralation between SEALED AIR and Enphase Energy
Assuming the 90 days trading horizon SEALED AIR is expected to under-perform the Enphase Energy. But the stock apears to be less risky and, when comparing its historical volatility, SEALED AIR is 2.01 times less risky than Enphase Energy. The stock trades about -0.25 of its potential returns per unit of risk. The Enphase Energy is currently generating about -0.11 of returns per unit of risk over similar time horizon. If you would invest 7,207 in Enphase Energy on October 9, 2024 and sell it today you would lose (357.00) from holding Enphase Energy or give up 4.95% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SEALED AIR vs. Enphase Energy
Performance |
Timeline |
SEALED AIR |
Enphase Energy |
SEALED AIR and Enphase Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEALED AIR and Enphase Energy
The main advantage of trading using opposite SEALED AIR and Enphase Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEALED AIR position performs unexpectedly, Enphase 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 Enphase Energy will offset losses from the drop in Enphase Energy's long position.SEALED AIR vs. Spirent Communications plc | SEALED AIR vs. Focus Home Interactive | SEALED AIR vs. INVITATION HOMES DL | SEALED AIR vs. Haier Smart Home |
Enphase Energy vs. Live Nation Entertainment | Enphase Energy vs. REMEDY ENTERTAINMENT OYJ | Enphase Energy vs. British American Tobacco | Enphase Energy vs. JAPAN TOBACCO UNSPADR12 |
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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