Correlation Between WILLIS LEASE and China Datang
Can any of the company-specific risk be diversified away by investing in both WILLIS LEASE and China Datang 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 WILLIS LEASE and China Datang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WILLIS LEASE FIN and China Datang, you can compare the effects of market volatilities on WILLIS LEASE and China Datang 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 WILLIS LEASE with a short position of China Datang. Check out your portfolio center. Please also check ongoing floating volatility patterns of WILLIS LEASE and China Datang.
Diversification Opportunities for WILLIS LEASE and China Datang
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between WILLIS and China is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding WILLIS LEASE FIN and China Datang in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Datang and WILLIS LEASE 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 WILLIS LEASE FIN are associated (or correlated) with China Datang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Datang has no effect on the direction of WILLIS LEASE i.e., WILLIS LEASE and China Datang go up and down completely randomly.
Pair Corralation between WILLIS LEASE and China Datang
Assuming the 90 days horizon WILLIS LEASE FIN is expected to under-perform the China Datang. But the stock apears to be less risky and, when comparing its historical volatility, WILLIS LEASE FIN is 1.06 times less risky than China Datang. The stock trades about 0.0 of its potential returns per unit of risk. The China Datang is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 24.00 in China Datang on October 22, 2024 and sell it today you would earn a total of 0.00 from holding China Datang or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WILLIS LEASE FIN vs. China Datang
Performance |
Timeline |
WILLIS LEASE FIN |
China Datang |
WILLIS LEASE and China Datang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WILLIS LEASE and China Datang
The main advantage of trading using opposite WILLIS LEASE and China Datang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WILLIS LEASE position performs unexpectedly, China Datang 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 Datang will offset losses from the drop in China Datang's long position.WILLIS LEASE vs. BOSTON BEER A | WILLIS LEASE vs. Molson Coors Beverage | WILLIS LEASE vs. United Breweries Co | WILLIS LEASE vs. THAI BEVERAGE |
China Datang vs. United Insurance Holdings | China Datang vs. LG Display Co | China Datang vs. CHIBA BANK | China Datang vs. CHINA TONTINE WINES |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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