Correlation Between General Plastic and Hwa Fong
Can any of the company-specific risk be diversified away by investing in both General Plastic and Hwa Fong 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 General Plastic and Hwa Fong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Plastic Industrial and Hwa Fong Rubber, you can compare the effects of market volatilities on General Plastic and Hwa Fong 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 General Plastic with a short position of Hwa Fong. Check out your portfolio center. Please also check ongoing floating volatility patterns of General Plastic and Hwa Fong.
Diversification Opportunities for General Plastic and Hwa Fong
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between General and Hwa is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding General Plastic Industrial and Hwa Fong Rubber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwa Fong Rubber and General Plastic 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 General Plastic Industrial are associated (or correlated) with Hwa Fong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwa Fong Rubber has no effect on the direction of General Plastic i.e., General Plastic and Hwa Fong go up and down completely randomly.
Pair Corralation between General Plastic and Hwa Fong
Assuming the 90 days trading horizon General Plastic Industrial is expected to generate 2.18 times more return on investment than Hwa Fong. However, General Plastic is 2.18 times more volatile than Hwa Fong Rubber. It trades about 0.38 of its potential returns per unit of risk. Hwa Fong Rubber is currently generating about 0.36 per unit of risk. If you would invest 3,385 in General Plastic Industrial on December 4, 2024 and sell it today you would earn a total of 215.00 from holding General Plastic Industrial or generate 6.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
General Plastic Industrial vs. Hwa Fong Rubber
Performance |
Timeline |
General Plastic Indu |
Hwa Fong Rubber |
General Plastic and Hwa Fong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with General Plastic and Hwa Fong
The main advantage of trading using opposite General Plastic and Hwa Fong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if General Plastic position performs unexpectedly, Hwa Fong 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 Hwa Fong will offset losses from the drop in Hwa Fong's long position.General Plastic vs. I Sheng Electric Wire | General Plastic vs. LK Engineering Co | General Plastic vs. Aten International Co | General Plastic vs. Flytech Technology Co |
Hwa Fong vs. Kenda Rubber Industrial | Hwa Fong vs. Cheng Shin Rubber | Hwa Fong vs. Federal Corp | Hwa Fong vs. Nankang Rubber Tire |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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