Correlation Between United Insurance and Li Ning
Can any of the company-specific risk be diversified away by investing in both United Insurance and Li Ning 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 United Insurance and Li Ning into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Insurance Holdings and Li Ning Company, you can compare the effects of market volatilities on United Insurance and Li Ning 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 United Insurance with a short position of Li Ning. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Insurance and Li Ning.
Diversification Opportunities for United Insurance and Li Ning
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between United and LNLB is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding United Insurance Holdings and Li Ning Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Ning Company and United Insurance 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 United Insurance Holdings are associated (or correlated) with Li Ning. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Li Ning Company has no effect on the direction of United Insurance i.e., United Insurance and Li Ning go up and down completely randomly.
Pair Corralation between United Insurance and Li Ning
Assuming the 90 days horizon United Insurance Holdings is expected to under-perform the Li Ning. But the stock apears to be less risky and, when comparing its historical volatility, United Insurance Holdings is 1.23 times less risky than Li Ning. The stock trades about -0.04 of its potential returns per unit of risk. The Li Ning Company is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 205.00 in Li Ning Company on December 20, 2024 and sell it today you would earn a total of 18.00 from holding Li Ning Company or generate 8.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United Insurance Holdings vs. Li Ning Company
Performance |
Timeline |
United Insurance Holdings |
Li Ning Company |
United Insurance and Li Ning Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Insurance and Li Ning
The main advantage of trading using opposite United Insurance and Li Ning positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Insurance position performs unexpectedly, Li Ning 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 Li Ning will offset losses from the drop in Li Ning's long position.United Insurance vs. Endeavour Mining PLC | United Insurance vs. MCEWEN MINING INC | United Insurance vs. Calibre Mining Corp | United Insurance vs. Nok Airlines PCL |
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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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
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