Correlation Between China Securities and Kosdaq Composite
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By analyzing existing cross correlation between China Securities 800 and Kosdaq Composite Index, you can compare the effects of market volatilities on China Securities and Kosdaq Composite 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 Securities with a short position of Kosdaq Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of China Securities and Kosdaq Composite.
Diversification Opportunities for China Securities and Kosdaq Composite
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between China and Kosdaq is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding China Securities 800 and Kosdaq Composite Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kosdaq Composite Index and China Securities 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 Securities 800 are associated (or correlated) with Kosdaq Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kosdaq Composite Index has no effect on the direction of China Securities i.e., China Securities and Kosdaq Composite go up and down completely randomly.
Pair Corralation between China Securities and Kosdaq Composite
Assuming the 90 days trading horizon China Securities is expected to generate 4.68 times less return on investment than Kosdaq Composite. But when comparing it to its historical volatility, China Securities 800 is 1.66 times less risky than Kosdaq Composite. It trades about 0.04 of its potential returns per unit of risk. Kosdaq Composite Index is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 69,200 in Kosdaq Composite Index on November 27, 2024 and sell it today you would earn a total of 8,155 from holding Kosdaq Composite Index or generate 11.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.28% |
Values | Daily Returns |
China Securities 800 vs. Kosdaq Composite Index
Performance |
Timeline |
China Securities and Kosdaq Composite Volatility Contrast
Predicted Return Density |
Returns |
China Securities 800
Pair trading matchups for China Securities
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
Pair Trading with China Securities and Kosdaq Composite
The main advantage of trading using opposite China Securities and Kosdaq Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if China Securities position performs unexpectedly, Kosdaq Composite 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 Kosdaq Composite will offset losses from the drop in Kosdaq Composite's long position.China Securities vs. Liuzhou Chemical Industry | China Securities vs. Nantong JiangTian Chemical | China Securities vs. Tianjin Hi Tech Development | China Securities vs. VeriSilicon Microelectronics Shanghai |
Kosdaq Composite vs. Seoul Food Industrial | Kosdaq Composite vs. Organic Special Pet | Kosdaq Composite vs. Hyundai Green Food | Kosdaq Composite vs. Namyang Dairy |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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