Correlation Between Kosdaq Composite and NICE Information
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By analyzing existing cross correlation between Kosdaq Composite Index and NICE Information Service, you can compare the effects of market volatilities on Kosdaq Composite and NICE Information 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 NICE Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kosdaq Composite and NICE Information.
Diversification Opportunities for Kosdaq Composite and NICE Information
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kosdaq and NICE is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Kosdaq Composite Index and NICE Information Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NICE Information Service 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 NICE Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NICE Information Service has no effect on the direction of Kosdaq Composite i.e., Kosdaq Composite and NICE Information go up and down completely randomly.
Pair Corralation between Kosdaq Composite and NICE Information
Assuming the 90 days trading horizon Kosdaq Composite Index is expected to under-perform the NICE Information. But the index apears to be less risky and, when comparing its historical volatility, Kosdaq Composite Index is 1.21 times less risky than NICE Information. The index trades about -0.06 of its potential returns per unit of risk. The NICE Information Service is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,005,000 in NICE Information Service on September 20, 2024 and sell it today you would earn a total of 242,000 from holding NICE Information Service or generate 24.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kosdaq Composite Index vs. NICE Information Service
Performance |
Timeline |
Kosdaq Composite and NICE Information Volatility Contrast
Predicted Return Density |
Returns |
Kosdaq Composite Index
Pair trading matchups for Kosdaq Composite
NICE Information Service
Pair trading matchups for NICE Information
Pair Trading with Kosdaq Composite and NICE Information
The main advantage of trading using opposite Kosdaq Composite and NICE Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kosdaq Composite position performs unexpectedly, NICE Information 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 NICE Information will offset losses from the drop in NICE Information's long position.Kosdaq Composite vs. Dongbu Insurance Co | Kosdaq Composite vs. Jin Air Co | Kosdaq Composite vs. Kbi Metal Co | Kosdaq Composite vs. BNK Financial Group |
NICE Information vs. Korea New Network | NICE Information vs. Solution Advanced Technology | NICE Information vs. Busan Industrial Co | NICE Information vs. Busan Ind |
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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