Correlation Between Fulin Plastic and Formosan Rubber
Can any of the company-specific risk be diversified away by investing in both Fulin Plastic and Formosan Rubber 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 Fulin Plastic and Formosan Rubber into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fulin Plastic Industry and Formosan Rubber Group, you can compare the effects of market volatilities on Fulin Plastic and Formosan Rubber 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 Fulin Plastic with a short position of Formosan Rubber. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fulin Plastic and Formosan Rubber.
Diversification Opportunities for Fulin Plastic and Formosan Rubber
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Fulin and Formosan is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Fulin Plastic Industry and Formosan Rubber Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosan Rubber Group and Fulin 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 Fulin Plastic Industry are associated (or correlated) with Formosan Rubber. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosan Rubber Group has no effect on the direction of Fulin Plastic i.e., Fulin Plastic and Formosan Rubber go up and down completely randomly.
Pair Corralation between Fulin Plastic and Formosan Rubber
Assuming the 90 days trading horizon Fulin Plastic Industry is expected to generate 1.24 times more return on investment than Formosan Rubber. However, Fulin Plastic is 1.24 times more volatile than Formosan Rubber Group. It trades about 0.0 of its potential returns per unit of risk. Formosan Rubber Group is currently generating about -0.01 per unit of risk. If you would invest 6,720 in Fulin Plastic Industry on September 17, 2024 and sell it today you would lose (10.00) from holding Fulin Plastic Industry or give up 0.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Fulin Plastic Industry vs. Formosan Rubber Group
Performance |
Timeline |
Fulin Plastic Industry |
Formosan Rubber Group |
Fulin Plastic and Formosan Rubber Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fulin Plastic and Formosan Rubber
The main advantage of trading using opposite Fulin Plastic and Formosan Rubber positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fulin Plastic position performs unexpectedly, Formosan Rubber 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 Formosan Rubber will offset losses from the drop in Formosan Rubber's long position.Fulin Plastic vs. Tah Hsin Industrial | Fulin Plastic vs. Universal | Fulin Plastic vs. Taita Chemical Co | Fulin Plastic vs. San Fang Chemical |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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