Correlation Between Young Poong and SP Systems
Can any of the company-specific risk be diversified away by investing in both Young Poong and SP Systems 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 SP Systems 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 SP Systems CoLtd, you can compare the effects of market volatilities on Young Poong and SP Systems 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 SP Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Young Poong and SP Systems.
Diversification Opportunities for Young Poong and SP Systems
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Young and 317830 is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Young Poong Precision and SP Systems CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SP Systems CoLtd 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 SP Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP Systems CoLtd has no effect on the direction of Young Poong i.e., Young Poong and SP Systems go up and down completely randomly.
Pair Corralation between Young Poong and SP Systems
Assuming the 90 days trading horizon Young Poong Precision is expected to generate 1.21 times more return on investment than SP Systems. However, Young Poong is 1.21 times more volatile than SP Systems CoLtd. It trades about 0.02 of its potential returns per unit of risk. SP Systems CoLtd is currently generating about -0.09 per unit of risk. If you would invest 1,308,684 in Young Poong Precision on September 12, 2024 and sell it today you would earn a total of 21,316 from holding Young Poong Precision or generate 1.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Young Poong Precision vs. SP Systems CoLtd
Performance |
Timeline |
Young Poong Precision |
SP Systems CoLtd |
Young Poong and SP Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Young Poong and SP Systems
The main advantage of trading using opposite Young Poong and SP Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Young Poong position performs unexpectedly, SP Systems 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 SP Systems will offset losses from the drop in SP Systems' long position.Young Poong vs. Rainbow Robotics | Young Poong vs. COWINTECH Co | Young Poong vs. CS BEARING CoLtd | Young Poong vs. DAEMO Engineering Co |
SP Systems vs. Rainbow Robotics | SP Systems vs. COWINTECH Co | SP Systems vs. CS BEARING CoLtd | SP Systems vs. Young Poong Precision |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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