Correlation Between Markor International and China Publishing
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By analyzing existing cross correlation between Markor International Home and China Publishing Media, you can compare the effects of market volatilities on Markor International and China Publishing 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 Markor International with a short position of China Publishing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Markor International and China Publishing.
Diversification Opportunities for Markor International and China Publishing
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Markor and China is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Markor International Home and China Publishing Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Publishing Media and Markor International 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 Markor International Home are associated (or correlated) with China Publishing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Publishing Media has no effect on the direction of Markor International i.e., Markor International and China Publishing go up and down completely randomly.
Pair Corralation between Markor International and China Publishing
Assuming the 90 days trading horizon Markor International Home is expected to under-perform the China Publishing. But the stock apears to be less risky and, when comparing its historical volatility, Markor International Home is 1.21 times less risky than China Publishing. The stock trades about -0.02 of its potential returns per unit of risk. The China Publishing Media is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 483.00 in China Publishing Media on October 4, 2024 and sell it today you would earn a total of 221.00 from holding China Publishing Media or generate 45.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Markor International Home vs. China Publishing Media
Performance |
Timeline |
Markor International Home |
China Publishing Media |
Markor International and China Publishing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Markor International and China Publishing
The main advantage of trading using opposite Markor International and China Publishing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Markor International position performs unexpectedly, China Publishing 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 Publishing will offset losses from the drop in China Publishing's long position.Markor International vs. Northking Information Technology | Markor International vs. Sublime China Information | Markor International vs. CICC Fund Management | Markor International vs. Guangdong Qunxing Toys |
China Publishing vs. Sanbo Hospital Management | China Publishing vs. Mingchen Health Co | China Publishing vs. Humanwell Healthcare Group | China Publishing vs. Shandong Sinoglory Health |
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 Stocks Directory module to find actively traded stocks across global markets.
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