Correlation Between Huaku Development and Wah Lee
Can any of the company-specific risk be diversified away by investing in both Huaku Development and Wah Lee 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 Huaku Development and Wah Lee into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huaku Development Co and Wah Lee Industrial, you can compare the effects of market volatilities on Huaku Development and Wah Lee 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 Huaku Development with a short position of Wah Lee. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huaku Development and Wah Lee.
Diversification Opportunities for Huaku Development and Wah Lee
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Huaku and Wah is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Huaku Development Co and Wah Lee Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wah Lee Industrial and Huaku Development 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 Huaku Development Co are associated (or correlated) with Wah Lee. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wah Lee Industrial has no effect on the direction of Huaku Development i.e., Huaku Development and Wah Lee go up and down completely randomly.
Pair Corralation between Huaku Development and Wah Lee
Assuming the 90 days trading horizon Huaku Development Co is expected to generate 1.18 times more return on investment than Wah Lee. However, Huaku Development is 1.18 times more volatile than Wah Lee Industrial. It trades about 0.05 of its potential returns per unit of risk. Wah Lee Industrial is currently generating about 0.05 per unit of risk. If you would invest 9,470 in Huaku Development Co on August 25, 2024 and sell it today you would earn a total of 2,730 from holding Huaku Development Co or generate 28.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Huaku Development Co vs. Wah Lee Industrial
Performance |
| Timeline |
| Huaku Development |
| Wah Lee Industrial |
Huaku Development and Wah Lee Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Huaku Development and Wah Lee
The main advantage of trading using opposite Huaku Development and Wah Lee positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huaku Development position performs unexpectedly, Wah Lee 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 Wah Lee will offset losses from the drop in Wah Lee's long position.| Huaku Development vs. Chainqui Construction Development | Huaku Development vs. Kee Tai Properties | Huaku Development vs. Zinwell | Huaku Development vs. Symtek Automation Asia |
| Wah Lee vs. Huaku Development Co | Wah Lee vs. Topco Scientific Co | Wah Lee vs. Test Research | Wah Lee vs. Shinkong Insurance 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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