Correlation Between Formosa Plastics and China Man
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and China Man 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 Formosa Plastics and China Man into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Plastics Corp and China Man Made Fiber, you can compare the effects of market volatilities on Formosa Plastics and China Man 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 Formosa Plastics with a short position of China Man. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and China Man.
Diversification Opportunities for Formosa Plastics and China Man
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Formosa and China is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and China Man Made Fiber in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Man Made and Formosa Plastics 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 Formosa Plastics Corp are associated (or correlated) with China Man. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Man Made has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and China Man go up and down completely randomly.
Pair Corralation between Formosa Plastics and China Man
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to under-perform the China Man. In addition to that, Formosa Plastics is 1.46 times more volatile than China Man Made Fiber. It trades about -0.48 of its total potential returns per unit of risk. China Man Made Fiber is currently generating about -0.35 per unit of volatility. If you would invest 805.00 in China Man Made Fiber on September 22, 2024 and sell it today you would lose (71.00) from holding China Man Made Fiber or give up 8.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. China Man Made Fiber
Performance |
Timeline |
Formosa Plastics Corp |
China Man Made |
Formosa Plastics and China Man Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and China Man
The main advantage of trading using opposite Formosa Plastics and China Man positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, China Man 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 China Man will offset losses from the drop in China Man's long position.Formosa Plastics vs. Nan Ya Plastics | Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics vs. Formosa Petrochemical Corp |
China Man vs. Formosa Plastics Corp | China Man vs. Formosa Chemicals Fibre | China Man vs. China Steel Corp | China Man vs. Formosa Petrochemical Corp |
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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