Correlation Between COWINTECH and Young Poong
Can any of the company-specific risk be diversified away by investing in both COWINTECH and Young Poong 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 COWINTECH and Young Poong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COWINTECH Co and Young Poong Precision, you can compare the effects of market volatilities on COWINTECH and Young Poong 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 COWINTECH with a short position of Young Poong. Check out your portfolio center. Please also check ongoing floating volatility patterns of COWINTECH and Young Poong.
Diversification Opportunities for COWINTECH and Young Poong
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between COWINTECH and Young is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding COWINTECH Co and Young Poong Precision in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Young Poong Precision and COWINTECH 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 COWINTECH Co are associated (or correlated) with Young Poong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Young Poong Precision has no effect on the direction of COWINTECH i.e., COWINTECH and Young Poong go up and down completely randomly.
Pair Corralation between COWINTECH and Young Poong
Assuming the 90 days trading horizon COWINTECH Co is expected to under-perform the Young Poong. But the stock apears to be less risky and, when comparing its historical volatility, COWINTECH Co is 2.12 times less risky than Young Poong. The stock trades about -0.01 of its potential returns per unit of risk. The Young Poong Precision is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 937,000 in Young Poong Precision on September 12, 2024 and sell it today you would earn a total of 393,000 from holding Young Poong Precision or generate 41.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COWINTECH Co vs. Young Poong Precision
Performance |
Timeline |
COWINTECH |
Young Poong Precision |
COWINTECH and Young Poong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COWINTECH and Young Poong
The main advantage of trading using opposite COWINTECH and Young Poong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COWINTECH position performs unexpectedly, Young Poong 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 Young Poong will offset losses from the drop in Young Poong's long position.COWINTECH vs. Rainbow Robotics | COWINTECH vs. CS BEARING CoLtd | COWINTECH vs. Young Poong Precision | COWINTECH vs. DAEMO Engineering Co |
Young Poong vs. Rainbow Robotics | Young Poong vs. COWINTECH Co | Young Poong vs. CS BEARING CoLtd | Young Poong vs. DAEMO Engineering Co |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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