Correlation Between Kee Tai and Champion Building
Can any of the company-specific risk be diversified away by investing in both Kee Tai and Champion Building 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 Kee Tai and Champion Building into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kee Tai Properties and Champion Building Materials, you can compare the effects of market volatilities on Kee Tai and Champion Building 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 Kee Tai with a short position of Champion Building. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kee Tai and Champion Building.
Diversification Opportunities for Kee Tai and Champion Building
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kee and Champion is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Kee Tai Properties and Champion Building Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champion Building and Kee Tai 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 Kee Tai Properties are associated (or correlated) with Champion Building. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champion Building has no effect on the direction of Kee Tai i.e., Kee Tai and Champion Building go up and down completely randomly.
Pair Corralation between Kee Tai and Champion Building
Assuming the 90 days trading horizon Kee Tai Properties is expected to under-perform the Champion Building. But the stock apears to be less risky and, when comparing its historical volatility, Kee Tai Properties is 1.79 times less risky than Champion Building. The stock trades about -0.19 of its potential returns per unit of risk. The Champion Building Materials is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 1,170 in Champion Building Materials on August 31, 2024 and sell it today you would lose (130.00) from holding Champion Building Materials or give up 11.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kee Tai Properties vs. Champion Building Materials
Performance |
Timeline |
Kee Tai Properties |
Champion Building |
Kee Tai and Champion Building Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kee Tai and Champion Building
The main advantage of trading using opposite Kee Tai and Champion Building positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kee Tai position performs unexpectedly, Champion Building 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 Champion Building will offset losses from the drop in Champion Building's long position.Kee Tai vs. Hung Sheng Construction | Kee Tai vs. Chainqui Construction Development | Kee Tai vs. BES Engineering Co | Kee Tai vs. Long Bon International |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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