Correlation Between Kosdaq Composite and Kyeryong Construction
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By analyzing existing cross correlation between Kosdaq Composite Index and Kyeryong Construction Industrial, you can compare the effects of market volatilities on Kosdaq Composite and Kyeryong Construction 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 Kosdaq Composite with a short position of Kyeryong Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kosdaq Composite and Kyeryong Construction.
Diversification Opportunities for Kosdaq Composite and Kyeryong Construction
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Kosdaq and Kyeryong is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and Kyeryong Construction Industri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kyeryong Construction and Kosdaq Composite 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 Kosdaq Composite Index are associated (or correlated) with Kyeryong Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kyeryong Construction has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and Kyeryong Construction go up and down completely randomly.
Pair Corralation between Kosdaq Composite and Kyeryong Construction
Assuming the 90 days trading horizon Kosdaq Composite Index is expected to generate 1.51 times more return on investment than Kyeryong Construction. However, Kosdaq Composite is 1.51 times more volatile than Kyeryong Construction Industrial. It trades about -0.09 of its potential returns per unit of risk. Kyeryong Construction Industrial is currently generating about -0.19 per unit of risk. If you would invest 73,103 in Kosdaq Composite Index on September 12, 2024 and sell it today you would lose (6,944) from holding Kosdaq Composite Index or give up 9.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Kosdaq Composite Index vs. Kyeryong Construction Industri
Performance |
Timeline |
Kosdaq Composite and Kyeryong Construction Volatility Contrast
Predicted Return Density |
Returns |
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
Kyeryong Construction Industrial
Pair trading matchups for Kyeryong Construction
Pair Trading with Kosdaq Composite and Kyeryong Construction
The main advantage of trading using opposite Kosdaq Composite and Kyeryong Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, Kyeryong Construction 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 Kyeryong Construction will offset losses from the drop in Kyeryong Construction's long position.Kosdaq Composite vs. Daishin Information Communications | Kosdaq Composite vs. Nh Investment And | Kosdaq Composite vs. Korea Computer | Kosdaq Composite vs. DSC Investment |
Kyeryong Construction vs. Samsung Electronics Co | Kyeryong Construction vs. Samsung Electronics Co | Kyeryong Construction vs. SK Hynix | Kyeryong Construction vs. POSCO Holdings |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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