Correlation Between ZURICH INSURANCE and CHINA HUARONG
Can any of the company-specific risk be diversified away by investing in both ZURICH INSURANCE 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 ZURICH INSURANCE and CHINA HUARONG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ZURICH INSURANCE GROUP and CHINA HUARONG ENERHD 50, you can compare the effects of market volatilities on ZURICH INSURANCE 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 ZURICH INSURANCE with a short position of CHINA HUARONG. Check out your portfolio center. Please also check ongoing floating volatility patterns of ZURICH INSURANCE and CHINA HUARONG.
Diversification Opportunities for ZURICH INSURANCE and CHINA HUARONG
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between ZURICH and CHINA is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding ZURICH INSURANCE GROUP 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 ZURICH 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 ZURICH INSURANCE GROUP 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 ZURICH INSURANCE i.e., ZURICH INSURANCE and CHINA HUARONG go up and down completely randomly.
Pair Corralation between ZURICH INSURANCE and CHINA HUARONG
Assuming the 90 days trading horizon ZURICH INSURANCE is expected to generate 38.64 times less return on investment than CHINA HUARONG. But when comparing it to its historical volatility, ZURICH INSURANCE GROUP is 30.01 times less risky than CHINA HUARONG. It trades about 0.11 of its potential returns per unit of risk. CHINA HUARONG ENERHD 50 is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 0.05 in CHINA HUARONG ENERHD 50 on September 17, 2024 and sell it today you would earn a total of 0.10 from holding CHINA HUARONG ENERHD 50 or generate 200.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.48% |
Values | Daily Returns |
ZURICH INSURANCE GROUP vs. CHINA HUARONG ENERHD 50
Performance |
Timeline |
ZURICH INSURANCE |
CHINA HUARONG ENERHD |
ZURICH INSURANCE and CHINA HUARONG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ZURICH INSURANCE and CHINA HUARONG
The main advantage of trading using opposite ZURICH INSURANCE and CHINA HUARONG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ZURICH INSURANCE 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.ZURICH INSURANCE vs. Perseus Mining Limited | ZURICH INSURANCE vs. Media and Games | ZURICH INSURANCE vs. OURGAME INTHOLDL 00005 | ZURICH INSURANCE vs. GameStop Corp |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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