Correlation Between Young Poong and Nice Information
Can any of the company-specific risk be diversified away by investing in both Young Poong and Nice Information 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 Young Poong and Nice Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Young Poong Precision and Nice Information Telecommunication, you can compare the effects of market volatilities on Young Poong 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 Young Poong with a short position of Nice Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Young Poong and Nice Information.
Diversification Opportunities for Young Poong and Nice Information
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Young and Nice is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Young Poong Precision and Nice Information Telecommunica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nice Information Tel and Young Poong 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 Young Poong Precision 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 Tel has no effect on the direction of Young Poong i.e., Young Poong and Nice Information go up and down completely randomly.
Pair Corralation between Young Poong and Nice Information
Assuming the 90 days trading horizon Young Poong Precision is expected to generate 6.69 times more return on investment than Nice Information. However, Young Poong is 6.69 times more volatile than Nice Information Telecommunication. It trades about 0.06 of its potential returns per unit of risk. Nice Information Telecommunication is currently generating about -0.1 per unit of risk. If you would invest 1,055,038 in Young Poong Precision on October 10, 2024 and sell it today you would earn a total of 217,962 from holding Young Poong Precision or generate 20.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Young Poong Precision vs. Nice Information Telecommunica
Performance |
Timeline |
Young Poong Precision |
Nice Information Tel |
Young Poong and Nice Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Young Poong and Nice Information
The main advantage of trading using opposite Young Poong and Nice Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Young Poong 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.Young Poong vs. Rainbow Robotics | Young Poong vs. COWINTECH Co | Young Poong vs. CS BEARING CoLtd | Young Poong vs. SP Systems CoLtd |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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