Correlation Between Ching Feng and Cayenne Entertainment
Can any of the company-specific risk be diversified away by investing in both Ching Feng and Cayenne Entertainment 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 Ching Feng and Cayenne Entertainment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ching Feng Home and Cayenne Entertainment Technology, you can compare the effects of market volatilities on Ching Feng and Cayenne Entertainment 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 Ching Feng with a short position of Cayenne Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ching Feng and Cayenne Entertainment.
Diversification Opportunities for Ching Feng and Cayenne Entertainment
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ching and Cayenne is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Ching Feng Home and Cayenne Entertainment Technolo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cayenne Entertainment and Ching Feng 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 Ching Feng Home are associated (or correlated) with Cayenne Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cayenne Entertainment has no effect on the direction of Ching Feng i.e., Ching Feng and Cayenne Entertainment go up and down completely randomly.
Pair Corralation between Ching Feng and Cayenne Entertainment
Assuming the 90 days trading horizon Ching Feng Home is expected to under-perform the Cayenne Entertainment. In addition to that, Ching Feng is 1.2 times more volatile than Cayenne Entertainment Technology. It trades about -0.18 of its total potential returns per unit of risk. Cayenne Entertainment Technology is currently generating about 0.08 per unit of volatility. If you would invest 3,680 in Cayenne Entertainment Technology on October 6, 2024 and sell it today you would earn a total of 180.00 from holding Cayenne Entertainment Technology or generate 4.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ching Feng Home vs. Cayenne Entertainment Technolo
Performance |
Timeline |
Ching Feng Home |
Cayenne Entertainment |
Ching Feng and Cayenne Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ching Feng and Cayenne Entertainment
The main advantage of trading using opposite Ching Feng and Cayenne Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ching Feng position performs unexpectedly, Cayenne Entertainment 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 Cayenne Entertainment will offset losses from the drop in Cayenne Entertainment's long position.Ching Feng vs. Ability Enterprise Co | Ching Feng vs. Sunplus Technology Co | Ching Feng vs. ALi Corp | Ching Feng vs. Edom Technology 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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