Correlation Between China Communications and Dalata Hotel
Can any of the company-specific risk be diversified away by investing in both China Communications and Dalata Hotel 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 Communications and Dalata Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Communications Services and Dalata Hotel Group, you can compare the effects of market volatilities on China Communications and Dalata Hotel 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 Communications with a short position of Dalata Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Communications and Dalata Hotel.
Diversification Opportunities for China Communications and Dalata Hotel
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between China and Dalata is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding China Communications Services and Dalata Hotel Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dalata Hotel Group and China Communications 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 Communications Services are associated (or correlated) with Dalata Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dalata Hotel Group has no effect on the direction of China Communications i.e., China Communications and Dalata Hotel go up and down completely randomly.
Pair Corralation between China Communications and Dalata Hotel
Assuming the 90 days horizon China Communications Services is expected to generate 3.3 times more return on investment than Dalata Hotel. However, China Communications is 3.3 times more volatile than Dalata Hotel Group. It trades about 0.08 of its potential returns per unit of risk. Dalata Hotel Group is currently generating about 0.03 per unit of risk. If you would invest 9.40 in China Communications Services on October 11, 2024 and sell it today you would earn a total of 41.60 from holding China Communications Services or generate 442.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
China Communications Services vs. Dalata Hotel Group
Performance |
Timeline |
China Communications |
Dalata Hotel Group |
China Communications and Dalata Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Communications and Dalata Hotel
The main advantage of trading using opposite China Communications and Dalata Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Communications position performs unexpectedly, Dalata Hotel 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 Dalata Hotel will offset losses from the drop in Dalata Hotel's long position.China Communications vs. SINGAPORE AIRLINES | China Communications vs. Aegean Airlines SA | China Communications vs. JIAHUA STORES | China Communications vs. Nok Airlines PCL |
Dalata Hotel vs. Shenandoah Telecommunications | Dalata Hotel vs. China Communications Services | Dalata Hotel vs. ecotel communication ag | Dalata Hotel vs. G III Apparel Group |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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