Correlation Between China Shenhua and COPLAND ROAD
Can any of the company-specific risk be diversified away by investing in both China Shenhua and COPLAND ROAD 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 China Shenhua and COPLAND ROAD into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Shenhua Energy and COPLAND ROAD CAPITAL, you can compare the effects of market volatilities on China Shenhua and COPLAND ROAD 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 China Shenhua with a short position of COPLAND ROAD. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Shenhua and COPLAND ROAD.
Diversification Opportunities for China Shenhua and COPLAND ROAD
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between China and COPLAND is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding China Shenhua Energy and COPLAND ROAD CAPITAL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COPLAND ROAD CAPITAL and China Shenhua 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 China Shenhua Energy are associated (or correlated) with COPLAND ROAD. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COPLAND ROAD CAPITAL has no effect on the direction of China Shenhua i.e., China Shenhua and COPLAND ROAD go up and down completely randomly.
Pair Corralation between China Shenhua and COPLAND ROAD
Assuming the 90 days horizon China Shenhua Energy is expected to under-perform the COPLAND ROAD. But the stock apears to be less risky and, when comparing its historical volatility, China Shenhua Energy is 1.29 times less risky than COPLAND ROAD. The stock trades about -0.03 of its potential returns per unit of risk. The COPLAND ROAD CAPITAL is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 3,675 in COPLAND ROAD CAPITAL on December 20, 2024 and sell it today you would earn a total of 1,245 from holding COPLAND ROAD CAPITAL or generate 33.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Shenhua Energy vs. COPLAND ROAD CAPITAL
Performance |
Timeline |
China Shenhua Energy |
COPLAND ROAD CAPITAL |
China Shenhua and COPLAND ROAD Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Shenhua and COPLAND ROAD
The main advantage of trading using opposite China Shenhua and COPLAND ROAD positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Shenhua position performs unexpectedly, COPLAND ROAD 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 COPLAND ROAD will offset losses from the drop in COPLAND ROAD's long position.China Shenhua vs. TYSNES SPAREBANK NK | China Shenhua vs. JSC Halyk bank | China Shenhua vs. Planet Fitness | China Shenhua vs. PRINCIPAL FINANCIAL |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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