Correlation Between China Times and Data International
Can any of the company-specific risk be diversified away by investing in both China Times and Data International 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 Times and Data International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between China Times Publishing and Data International Co, you can compare the effects of market volatilities on China Times and Data International 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 Times with a short position of Data International. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Times and Data International.
Diversification Opportunities for China Times and Data International
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between China and Data is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding China Times Publishing and Data International Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data International and China Times 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 Times Publishing are associated (or correlated) with Data International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data International has no effect on the direction of China Times i.e., China Times and Data International go up and down completely randomly.
Pair Corralation between China Times and Data International
Assuming the 90 days trading horizon China Times is expected to generate 2.06 times less return on investment than Data International. In addition to that, China Times is 1.07 times more volatile than Data International Co. It trades about 0.02 of its total potential returns per unit of risk. Data International Co is currently generating about 0.04 per unit of volatility. If you would invest 12,100 in Data International Co on September 17, 2024 and sell it today you would earn a total of 3,150 from holding Data International Co or generate 26.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
China Times Publishing vs. Data International Co
Performance |
Timeline |
China Times Publishing |
Data International |
China Times and Data International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with China Times and Data International
The main advantage of trading using opposite China Times and Data International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Times position performs unexpectedly, Data International 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 Data International will offset losses from the drop in Data International's long position.China Times vs. Data International Co | China Times vs. K Way Information | China Times vs. Dimerco Data System | China Times vs. Dynamic Medical Technologies |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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