Correlation Between Forgame Holdings and PICC Property
Can any of the company-specific risk be diversified away by investing in both Forgame Holdings 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 Forgame Holdings and PICC Property into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Forgame Holdings and PICC Property and, you can compare the effects of market volatilities on Forgame Holdings 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 Forgame Holdings with a short position of PICC Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of Forgame Holdings and PICC Property.
Diversification Opportunities for Forgame Holdings and PICC Property
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Forgame and PICC is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Forgame 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 Forgame Holdings 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 Forgame 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 Forgame Holdings i.e., Forgame Holdings and PICC Property go up and down completely randomly.
Pair Corralation between Forgame Holdings and PICC Property
Assuming the 90 days trading horizon Forgame Holdings is expected to generate 1.42 times more return on investment than PICC Property. However, Forgame Holdings is 1.42 times more volatile than PICC Property and. It trades about 0.08 of its potential returns per unit of risk. PICC Property and is currently generating about 0.07 per unit of risk. If you would invest 8.10 in Forgame Holdings on May 13, 2025 and sell it today you would earn a total of 1.15 from holding Forgame Holdings or generate 14.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.48% |
Values | Daily Returns |
Forgame Holdings vs. PICC Property and
Performance |
Timeline |
Forgame Holdings |
PICC Property |
Forgame Holdings and PICC Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Forgame Holdings and PICC Property
The main advantage of trading using opposite Forgame Holdings and PICC Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Forgame Holdings 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.Forgame Holdings vs. QBE Insurance Group | Forgame Holdings vs. ANTA Sports Products | Forgame Holdings vs. Singapore Reinsurance | Forgame Holdings vs. Ping An Insurance |
PICC Property vs. Science Applications International | PICC Property vs. Data Modul AG | PICC Property vs. Datang International Power | PICC Property vs. Stewart Information Services |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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