Correlation Between ENN Energy and PICC Property
Can any of the company-specific risk be diversified away by investing in both ENN Energy and PICC Property 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 ENN Energy and PICC Property into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ENN Energy Holdings and PICC Property and, you can compare the effects of market volatilities on ENN Energy and PICC Property 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 ENN Energy with a short position of PICC Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of ENN Energy and PICC Property.
Diversification Opportunities for ENN Energy and PICC Property
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ENN and PICC is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding ENN Energy Holdings and PICC Property and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PICC Property and ENN 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 ENN Energy Holdings are associated (or correlated) with PICC Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PICC Property has no effect on the direction of ENN Energy i.e., ENN Energy and PICC Property go up and down completely randomly.
Pair Corralation between ENN Energy and PICC Property
Assuming the 90 days horizon ENN Energy Holdings is expected to generate 1.08 times more return on investment than PICC Property. However, ENN Energy is 1.08 times more volatile than PICC Property and. It trades about 0.14 of its potential returns per unit of risk. PICC Property and is currently generating about 0.12 per unit of risk. If you would invest 2,864 in ENN Energy Holdings on December 27, 2024 and sell it today you would earn a total of 746.00 from holding ENN Energy Holdings or generate 26.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ENN Energy Holdings vs. PICC Property and
Performance |
Timeline |
ENN Energy Holdings |
PICC Property |
ENN Energy and PICC Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ENN Energy and PICC Property
The main advantage of trading using opposite ENN Energy and PICC Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ENN Energy position performs unexpectedly, PICC Property 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 PICC Property will offset losses from the drop in PICC Property's long position.ENN Energy vs. Anhui Conch Cement | ENN Energy vs. Sysmex Corp | ENN Energy vs. PICC Property and | ENN Energy vs. Shenzhou International Group |
PICC Property vs. Anhui Conch Cement | PICC Property vs. China Overseas Land | PICC Property vs. China Shenhua Energy | PICC Property vs. ENN Energy Holdings |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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