Correlation Between Energisa and Healthpeak Properties
Can any of the company-specific risk be diversified away by investing in both Energisa and Healthpeak Properties 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 Energisa and Healthpeak Properties into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energisa SA and Healthpeak Properties, you can compare the effects of market volatilities on Energisa and Healthpeak Properties 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 Energisa with a short position of Healthpeak Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energisa and Healthpeak Properties.
Diversification Opportunities for Energisa and Healthpeak Properties
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Energisa and Healthpeak is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Energisa SA and Healthpeak Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Healthpeak Properties and Energisa 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 Energisa SA are associated (or correlated) with Healthpeak Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Healthpeak Properties has no effect on the direction of Energisa i.e., Energisa and Healthpeak Properties go up and down completely randomly.
Pair Corralation between Energisa and Healthpeak Properties
Assuming the 90 days trading horizon Energisa SA is expected to generate 1.03 times more return on investment than Healthpeak Properties. However, Energisa is 1.03 times more volatile than Healthpeak Properties. It trades about 0.02 of its potential returns per unit of risk. Healthpeak Properties is currently generating about -0.11 per unit of risk. If you would invest 4,021 in Energisa SA on November 29, 2024 and sell it today you would earn a total of 30.00 from holding Energisa SA or generate 0.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Energisa SA vs. Healthpeak Properties
Performance |
Timeline |
Energisa SA |
Healthpeak Properties |
Energisa and Healthpeak Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energisa and Healthpeak Properties
The main advantage of trading using opposite Energisa and Healthpeak Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energisa position performs unexpectedly, Healthpeak Properties 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 Healthpeak Properties will offset losses from the drop in Healthpeak Properties' long position.Energisa vs. Equatorial Energia SA | Energisa vs. CPFL Energia SA | Energisa vs. Eneva SA | Energisa vs. Companhia de Saneamento |
Healthpeak Properties vs. Universal Health Services, | Healthpeak Properties vs. TC Traders Club | Healthpeak Properties vs. CRISPR Therapeutics AG | Healthpeak Properties vs. HCA Healthcare, |
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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