Correlation Between China Development and Grand Ocean
Can any of the company-specific risk be diversified away by investing in both China Development and Grand Ocean 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 Development and Grand Ocean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Development Financial and Grand Ocean Retail, you can compare the effects of market volatilities on China Development and Grand Ocean 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 Development with a short position of Grand Ocean. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Development and Grand Ocean.
Diversification Opportunities for China Development and Grand Ocean
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between China and Grand is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding China Development Financial and Grand Ocean Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand Ocean Retail and China Development 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 Development Financial are associated (or correlated) with Grand Ocean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand Ocean Retail has no effect on the direction of China Development i.e., China Development and Grand Ocean go up and down completely randomly.
Pair Corralation between China Development and Grand Ocean
Assuming the 90 days trading horizon China Development Financial is expected to generate 0.69 times more return on investment than Grand Ocean. However, China Development Financial is 1.44 times less risky than Grand Ocean. It trades about 0.37 of its potential returns per unit of risk. Grand Ocean Retail is currently generating about -0.14 per unit of risk. If you would invest 1,700 in China Development Financial on December 5, 2024 and sell it today you would earn a total of 120.00 from holding China Development Financial or generate 7.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
China Development Financial vs. Grand Ocean Retail
Performance |
Timeline |
China Development |
Grand Ocean Retail |
China Development and Grand Ocean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Development and Grand Ocean
The main advantage of trading using opposite China Development and Grand Ocean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Development position performs unexpectedly, Grand Ocean 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 Grand Ocean will offset losses from the drop in Grand Ocean's long position.China Development vs. Cathay Financial Holding | China Development vs. Mega Financial Holding | China Development vs. CTBC Financial Holding | China Development vs. Fubon Financial Holding |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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