Correlation Between Kindom Construction and Da Cin
Can any of the company-specific risk be diversified away by investing in both Kindom Construction and Da Cin 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 Kindom Construction and Da Cin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kindom Construction Corp and Da Cin Construction Co, you can compare the effects of market volatilities on Kindom Construction and Da Cin 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 Kindom Construction with a short position of Da Cin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kindom Construction and Da Cin.
Diversification Opportunities for Kindom Construction and Da Cin
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Kindom and 2535 is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Kindom Construction Corp and Da Cin Construction Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Da Cin Construction and Kindom Construction 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 Kindom Construction Corp are associated (or correlated) with Da Cin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Da Cin Construction has no effect on the direction of Kindom Construction i.e., Kindom Construction and Da Cin go up and down completely randomly.
Pair Corralation between Kindom Construction and Da Cin
Assuming the 90 days trading horizon Kindom Construction Corp is expected to generate 2.13 times more return on investment than Da Cin. However, Kindom Construction is 2.13 times more volatile than Da Cin Construction Co. It trades about 0.26 of its potential returns per unit of risk. Da Cin Construction Co is currently generating about -0.01 per unit of risk. If you would invest 4,860 in Kindom Construction Corp on August 31, 2024 and sell it today you would earn a total of 920.00 from holding Kindom Construction Corp or generate 18.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kindom Construction Corp vs. Da Cin Construction Co
Performance |
Timeline |
Kindom Construction Corp |
Da Cin Construction |
Kindom Construction and Da Cin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kindom Construction and Da Cin
The main advantage of trading using opposite Kindom Construction and Da Cin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kindom Construction position performs unexpectedly, Da Cin 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 Da Cin will offset losses from the drop in Da Cin's long position.Kindom Construction vs. Huaku Development Co | Kindom Construction vs. Ruentex Development Co | Kindom Construction vs. CTCI Corp | Kindom Construction vs. Information Technology Total |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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