Correlation Between Kosdaq Composite and Samsung Publishing
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By analyzing existing cross correlation between Kosdaq Composite Index and Samsung Publishing Co, you can compare the effects of market volatilities on Kosdaq Composite and Samsung 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 Kosdaq Composite with a short position of Samsung Publishing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kosdaq Composite and Samsung Publishing.
Diversification Opportunities for Kosdaq Composite and Samsung Publishing
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kosdaq and Samsung is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and Samsung Publishing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Publishing 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 Samsung Publishing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Publishing has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and Samsung Publishing go up and down completely randomly.
Pair Corralation between Kosdaq Composite and Samsung Publishing
Assuming the 90 days trading horizon Kosdaq Composite Index is expected to under-perform the Samsung Publishing. But the index apears to be less risky and, when comparing its historical volatility, Kosdaq Composite Index is 2.06 times less risky than Samsung Publishing. The index trades about -0.22 of its potential returns per unit of risk. The Samsung Publishing Co is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,430,000 in Samsung Publishing Co on August 31, 2024 and sell it today you would earn a total of 4,000 from holding Samsung Publishing Co or generate 0.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
Kosdaq Composite Index vs. Samsung Publishing Co
Performance |
Timeline |
Kosdaq Composite and Samsung Publishing Volatility Contrast
Predicted Return Density |
Returns |
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
Samsung Publishing Co
Pair trading matchups for Samsung Publishing
Pair Trading with Kosdaq Composite and Samsung Publishing
The main advantage of trading using opposite Kosdaq Composite and Samsung Publishing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, Samsung 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 Samsung Publishing will offset losses from the drop in Samsung Publishing's long position.Kosdaq Composite vs. LG Chemicals | Kosdaq Composite vs. Sempio Foods Co | Kosdaq Composite vs. SK Chemicals Co | Kosdaq Composite vs. Korea Shipbuilding Offshore |
Samsung Publishing vs. AptaBio Therapeutics | Samsung Publishing vs. Daewoo SBI SPAC | Samsung Publishing vs. Dream Security co | Samsung Publishing vs. Microfriend |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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