Correlation Between PICC Property and CHINA SOUTHN
Can any of the company-specific risk be diversified away by investing in both PICC Property and CHINA SOUTHN 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 PICC Property and CHINA SOUTHN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PICC Property and and CHINA SOUTHN AIR H , you can compare the effects of market volatilities on PICC Property and CHINA SOUTHN 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 PICC Property with a short position of CHINA SOUTHN. Check out your portfolio center. Please also check ongoing floating volatility patterns of PICC Property and CHINA SOUTHN.
Diversification Opportunities for PICC Property and CHINA SOUTHN
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between PICC and CHINA is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding PICC Property and and CHINA SOUTHN AIR H in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA SOUTHN AIR and PICC Property 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 PICC Property and are associated (or correlated) with CHINA SOUTHN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA SOUTHN AIR has no effect on the direction of PICC Property i.e., PICC Property and CHINA SOUTHN go up and down completely randomly.
Pair Corralation between PICC Property and CHINA SOUTHN
Assuming the 90 days horizon PICC Property and is expected to generate 0.98 times more return on investment than CHINA SOUTHN. However, PICC Property and is 1.02 times less risky than CHINA SOUTHN. It trades about 0.16 of its potential returns per unit of risk. CHINA SOUTHN AIR H is currently generating about 0.01 per unit of risk. If you would invest 164.00 in PICC Property and on May 24, 2025 and sell it today you would earn a total of 40.00 from holding PICC Property and or generate 24.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PICC Property and vs. CHINA SOUTHN AIR H
Performance |
Timeline |
PICC Property |
CHINA SOUTHN AIR |
PICC Property and CHINA SOUTHN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PICC Property and CHINA SOUTHN
The main advantage of trading using opposite PICC Property and CHINA SOUTHN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PICC Property position performs unexpectedly, CHINA SOUTHN 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 CHINA SOUTHN will offset losses from the drop in CHINA SOUTHN's long position.PICC Property vs. Heidelberg Materials AG | PICC Property vs. Bank of Zhengzhou | PICC Property vs. Erste Group Bank | PICC Property vs. SANOK RUBBER ZY |
CHINA SOUTHN vs. Alaska Air Group | CHINA SOUTHN vs. Verizon Communications | CHINA SOUTHN vs. SOGECLAIR SA INH | CHINA SOUTHN vs. Corsair Gaming |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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