Correlation Between Shui Mu and Kingcan Holdings
Can any of the company-specific risk be diversified away by investing in both Shui Mu and Kingcan Holdings 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 Shui Mu and Kingcan Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shui Mu International Co and Kingcan Holdings, you can compare the effects of market volatilities on Shui Mu and Kingcan Holdings 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 Shui Mu with a short position of Kingcan Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shui Mu and Kingcan Holdings.
Diversification Opportunities for Shui Mu and Kingcan Holdings
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Shui and Kingcan is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Shui Mu International Co and Kingcan Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kingcan Holdings and Shui Mu 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 Shui Mu International Co are associated (or correlated) with Kingcan Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kingcan Holdings has no effect on the direction of Shui Mu i.e., Shui Mu and Kingcan Holdings go up and down completely randomly.
Pair Corralation between Shui Mu and Kingcan Holdings
Assuming the 90 days trading horizon Shui Mu International Co is expected to generate 0.67 times more return on investment than Kingcan Holdings. However, Shui Mu International Co is 1.49 times less risky than Kingcan Holdings. It trades about -0.03 of its potential returns per unit of risk. Kingcan Holdings is currently generating about -0.08 per unit of risk. If you would invest 1,170 in Shui Mu International Co on September 17, 2024 and sell it today you would lose (20.00) from holding Shui Mu International Co or give up 1.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shui Mu International Co vs. Kingcan Holdings
Performance |
Timeline |
Shui Mu International |
Kingcan Holdings |
Shui Mu and Kingcan Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shui Mu and Kingcan Holdings
The main advantage of trading using opposite Shui Mu and Kingcan Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shui Mu position performs unexpectedly, Kingcan Holdings 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 Kingcan Holdings will offset losses from the drop in Kingcan Holdings' long position.Shui Mu vs. Jinli Group Holdings | Shui Mu vs. New Palace International | Shui Mu vs. Les Enphants Co | Shui Mu vs. Shin Shin Co |
Kingcan Holdings vs. Tainan Spinning Co | Kingcan Holdings vs. Lealea Enterprise Co | Kingcan Holdings vs. China Petrochemical Development | Kingcan Holdings vs. Ruentex Development 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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