Correlation Between Hwa Fong and Prince Housing
Can any of the company-specific risk be diversified away by investing in both Hwa Fong and Prince Housing 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 Hwa Fong and Prince Housing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hwa Fong Rubber and Prince Housing Development, you can compare the effects of market volatilities on Hwa Fong and Prince Housing 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 Hwa Fong with a short position of Prince Housing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hwa Fong and Prince Housing.
Diversification Opportunities for Hwa Fong and Prince Housing
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hwa and Prince is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Hwa Fong Rubber and Prince Housing Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prince Housing Devel and Hwa Fong 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 Hwa Fong Rubber are associated (or correlated) with Prince Housing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prince Housing Devel has no effect on the direction of Hwa Fong i.e., Hwa Fong and Prince Housing go up and down completely randomly.
Pair Corralation between Hwa Fong and Prince Housing
Assuming the 90 days trading horizon Hwa Fong Rubber is expected to generate 0.75 times more return on investment than Prince Housing. However, Hwa Fong Rubber is 1.33 times less risky than Prince Housing. It trades about 0.19 of its potential returns per unit of risk. Prince Housing Development is currently generating about 0.02 per unit of risk. If you would invest 1,800 in Hwa Fong Rubber on December 21, 2024 and sell it today you would earn a total of 130.00 from holding Hwa Fong Rubber or generate 7.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hwa Fong Rubber vs. Prince Housing Development
Performance |
Timeline |
Hwa Fong Rubber |
Prince Housing Devel |
Hwa Fong and Prince Housing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hwa Fong and Prince Housing
The main advantage of trading using opposite Hwa Fong and Prince Housing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hwa Fong position performs unexpectedly, Prince Housing 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 Prince Housing will offset losses from the drop in Prince Housing's long position.Hwa Fong vs. Kenda Rubber Industrial | Hwa Fong vs. Cheng Shin Rubber | Hwa Fong vs. Federal Corp | Hwa Fong vs. Nankang Rubber Tire |
Prince Housing vs. Taichung Commercial Bank | Prince Housing vs. O Bank Co | Prince Housing vs. Central Reinsurance Corp | Prince Housing vs. Simplo 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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