Correlation Between Formosa Plastics and Ton Yi
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and Ton Yi 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 Ton Yi 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 Ton Yi Industrial, you can compare the effects of market volatilities on Formosa Plastics and Ton Yi 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 Ton Yi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and Ton Yi.
Diversification Opportunities for Formosa Plastics and Ton Yi
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Formosa and Ton is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and Ton Yi Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ton Yi Industrial 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 Ton Yi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ton Yi Industrial has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and Ton Yi go up and down completely randomly.
Pair Corralation between Formosa Plastics and Ton Yi
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to under-perform the Ton Yi. In addition to that, Formosa Plastics is 1.28 times more volatile than Ton Yi Industrial. It trades about -0.17 of its total potential returns per unit of risk. Ton Yi Industrial is currently generating about 0.0 per unit of volatility. If you would invest 1,530 in Ton Yi Industrial on September 26, 2024 and sell it today you would lose (15.00) from holding Ton Yi Industrial or give up 0.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Plastics Corp vs. Ton Yi Industrial
Performance |
Timeline |
Formosa Plastics Corp |
Ton Yi Industrial |
Formosa Plastics and Ton Yi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and Ton Yi
The main advantage of trading using opposite Formosa Plastics and Ton Yi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, Ton Yi 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 Ton Yi will offset losses from the drop in Ton Yi's long position.Formosa Plastics vs. Formosa Chemicals Fibre | Formosa Plastics vs. China Steel Corp | Formosa Plastics vs. Formosa Petrochemical Corp | Formosa Plastics vs. Cathay Financial Holding |
Ton Yi vs. Formosa Chemicals Fibre | Ton Yi vs. China Steel Corp | Ton Yi vs. Formosa Petrochemical Corp | Ton Yi 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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