Correlation Between Reinsurance Group and CHINA HUARONG
Can any of the company-specific risk be diversified away by investing in both Reinsurance Group and CHINA HUARONG 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 Reinsurance Group and CHINA HUARONG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Reinsurance Group of and CHINA HUARONG ENERHD 50, you can compare the effects of market volatilities on Reinsurance Group and CHINA HUARONG 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 Reinsurance Group with a short position of CHINA HUARONG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Reinsurance Group and CHINA HUARONG.
Diversification Opportunities for Reinsurance Group and CHINA HUARONG
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Reinsurance and CHINA is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Reinsurance Group of and CHINA HUARONG ENERHD 50 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA HUARONG ENERHD and Reinsurance Group 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 Reinsurance Group of are associated (or correlated) with CHINA HUARONG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA HUARONG ENERHD has no effect on the direction of Reinsurance Group i.e., Reinsurance Group and CHINA HUARONG go up and down completely randomly.
Pair Corralation between Reinsurance Group and CHINA HUARONG
Assuming the 90 days trading horizon Reinsurance Group of is expected to under-perform the CHINA HUARONG. But the stock apears to be less risky and, when comparing its historical volatility, Reinsurance Group of is 10.75 times less risky than CHINA HUARONG. The stock trades about -0.05 of its potential returns per unit of risk. The CHINA HUARONG ENERHD 50 is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 0.15 in CHINA HUARONG ENERHD 50 on December 29, 2024 and sell it today you would lose (0.10) from holding CHINA HUARONG ENERHD 50 or give up 66.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Reinsurance Group of vs. CHINA HUARONG ENERHD 50
Performance |
Timeline |
Reinsurance Group |
CHINA HUARONG ENERHD |
Reinsurance Group and CHINA HUARONG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Reinsurance Group and CHINA HUARONG
The main advantage of trading using opposite Reinsurance Group and CHINA HUARONG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Reinsurance Group position performs unexpectedly, CHINA HUARONG 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 HUARONG will offset losses from the drop in CHINA HUARONG's long position.Reinsurance Group vs. Games Workshop Group | Reinsurance Group vs. Corsair Gaming | Reinsurance Group vs. Moneysupermarket Group PLC | Reinsurance Group vs. CONTAGIOUS GAMING INC |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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