Correlation Between Nice Information and Grand Korea
Can any of the company-specific risk be diversified away by investing in both Nice Information and Grand Korea 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 Nice Information and Grand Korea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nice Information Telecommunication and Grand Korea Leisure, you can compare the effects of market volatilities on Nice Information and Grand Korea 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 Nice Information with a short position of Grand Korea. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nice Information and Grand Korea.
Diversification Opportunities for Nice Information and Grand Korea
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nice and Grand is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Nice Information Telecommunica and Grand Korea Leisure in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand Korea Leisure and Nice Information 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 Nice Information Telecommunication are associated (or correlated) with Grand Korea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand Korea Leisure has no effect on the direction of Nice Information i.e., Nice Information and Grand Korea go up and down completely randomly.
Pair Corralation between Nice Information and Grand Korea
Assuming the 90 days trading horizon Nice Information Telecommunication is expected to generate 0.5 times more return on investment than Grand Korea. However, Nice Information Telecommunication is 1.98 times less risky than Grand Korea. It trades about -0.01 of its potential returns per unit of risk. Grand Korea Leisure is currently generating about -0.04 per unit of risk. If you would invest 1,894,000 in Nice Information Telecommunication on September 13, 2024 and sell it today you would lose (19,000) from holding Nice Information Telecommunication or give up 1.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nice Information Telecommunica vs. Grand Korea Leisure
Performance |
Timeline |
Nice Information Tel |
Grand Korea Leisure |
Nice Information and Grand Korea Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nice Information and Grand Korea
The main advantage of trading using opposite Nice Information and Grand Korea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nice Information position performs unexpectedly, Grand Korea 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 Grand Korea will offset losses from the drop in Grand Korea's long position.Nice Information vs. Cube Entertainment | Nice Information vs. Dreamus Company | Nice Information vs. LG Energy Solution | Nice Information vs. Dongwon System |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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