Correlation Between NYSE Composite and Korea Closed
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Korea Closed at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining NYSE Composite and Korea Closed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Korea Closed, you can compare the effects of market volatilities on NYSE Composite and Korea Closed 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 NYSE Composite with a short position of Korea Closed. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Korea Closed.
Diversification Opportunities for NYSE Composite and Korea Closed
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between NYSE and Korea is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Korea Closed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Closed and NYSE 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 NYSE Composite are associated (or correlated) with Korea Closed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Closed has no effect on the direction of NYSE Composite i.e., NYSE Composite and Korea Closed go up and down completely randomly.
Pair Corralation between NYSE Composite and Korea Closed
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.86 times less return on investment than Korea Closed. But when comparing it to its historical volatility, NYSE Composite is 1.5 times less risky than Korea Closed. It trades about 0.05 of its potential returns per unit of risk. Korea Closed is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,853 in Korea Closed on December 28, 2024 and sell it today you would earn a total of 236.00 from holding Korea Closed or generate 12.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Korea Closed
Performance |
Timeline |
NYSE Composite and Korea Closed Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Korea Closed
Pair trading matchups for Korea Closed
Pair Trading with NYSE Composite and Korea Closed
The main advantage of trading using opposite NYSE Composite and Korea Closed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Korea Closed 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 Korea Closed will offset losses from the drop in Korea Closed's long position.NYSE Composite vs. Melco Resorts Entertainment | NYSE Composite vs. SLR Investment Corp | NYSE Composite vs. Stepstone Group | NYSE Composite vs. Greentown Management Holdings |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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