Correlation Between Kingcan Holdings and Shinih Enterprise
Can any of the company-specific risk be diversified away by investing in both Kingcan Holdings and Shinih Enterprise 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 Kingcan Holdings and Shinih Enterprise into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kingcan Holdings and Shinih Enterprise Co, you can compare the effects of market volatilities on Kingcan Holdings and Shinih Enterprise 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 Kingcan Holdings with a short position of Shinih Enterprise. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingcan Holdings and Shinih Enterprise.
Diversification Opportunities for Kingcan Holdings and Shinih Enterprise
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Kingcan and Shinih is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Kingcan Holdings and Shinih Enterprise Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinih Enterprise and Kingcan Holdings 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 Kingcan Holdings are associated (or correlated) with Shinih Enterprise. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinih Enterprise has no effect on the direction of Kingcan Holdings i.e., Kingcan Holdings and Shinih Enterprise go up and down completely randomly.
Pair Corralation between Kingcan Holdings and Shinih Enterprise
Assuming the 90 days trading horizon Kingcan Holdings is expected to under-perform the Shinih Enterprise. In addition to that, Kingcan Holdings is 2.27 times more volatile than Shinih Enterprise Co. It trades about -0.09 of its total potential returns per unit of risk. Shinih Enterprise Co is currently generating about -0.02 per unit of volatility. If you would invest 2,065 in Shinih Enterprise Co on September 1, 2024 and sell it today you would lose (15.00) from holding Shinih Enterprise Co or give up 0.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Kingcan Holdings vs. Shinih Enterprise Co
Performance |
Timeline |
Kingcan Holdings |
Shinih Enterprise |
Kingcan Holdings and Shinih Enterprise Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingcan Holdings and Shinih Enterprise
The main advantage of trading using opposite Kingcan Holdings and Shinih Enterprise positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingcan Holdings position performs unexpectedly, Shinih Enterprise 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 Shinih Enterprise will offset losses from the drop in Shinih Enterprise's long position.Kingcan Holdings vs. Jinli Group Holdings | Kingcan Holdings vs. Shinih Enterprise Co | Kingcan Holdings vs. Super Dragon Technology | Kingcan Holdings vs. Shui Mu International Co |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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