Correlation Between Sunko Ink and Formosa Plastics
Can any of the company-specific risk be diversified away by investing in both Sunko Ink and Formosa Plastics 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 Sunko Ink and Formosa Plastics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sunko Ink Co and Formosa Plastics Corp, you can compare the effects of market volatilities on Sunko Ink and Formosa Plastics 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 Sunko Ink with a short position of Formosa Plastics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sunko Ink and Formosa Plastics.
Diversification Opportunities for Sunko Ink and Formosa Plastics
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sunko and Formosa is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Sunko Ink Co and Formosa Plastics Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Plastics Corp and Sunko Ink 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 Sunko Ink Co are associated (or correlated) with Formosa Plastics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Plastics Corp has no effect on the direction of Sunko Ink i.e., Sunko Ink and Formosa Plastics go up and down completely randomly.
Pair Corralation between Sunko Ink and Formosa Plastics
Assuming the 90 days trading horizon Sunko Ink Co is expected to under-perform the Formosa Plastics. In addition to that, Sunko Ink is 1.39 times more volatile than Formosa Plastics Corp. It trades about -0.2 of its total potential returns per unit of risk. Formosa Plastics Corp is currently generating about -0.21 per unit of volatility. If you would invest 5,010 in Formosa Plastics Corp on September 26, 2024 and sell it today you would lose (1,255) from holding Formosa Plastics Corp or give up 25.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sunko Ink Co vs. Formosa Plastics Corp
Performance |
Timeline |
Sunko Ink |
Formosa Plastics Corp |
Sunko Ink and Formosa Plastics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sunko Ink and Formosa Plastics
The main advantage of trading using opposite Sunko Ink and Formosa Plastics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sunko Ink position performs unexpectedly, Formosa Plastics 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 Formosa Plastics will offset losses from the drop in Formosa Plastics' long position.Sunko Ink vs. Formosa Plastics Corp | Sunko Ink vs. Formosa Chemicals Fibre | Sunko Ink vs. China Steel Corp | Sunko Ink vs. Formosa Petrochemical Corp |
Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics vs. Formosa Petrochemical Corp | Formosa Plastics vs. Cathay Financial Holding |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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