Correlation Between Formosa Plastics and Ta Chen
Can any of the company-specific risk be diversified away by investing in both Formosa Plastics and Ta Chen 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 Ta Chen 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 Ta Chen Stainless, you can compare the effects of market volatilities on Formosa Plastics and Ta Chen 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 Ta Chen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Plastics and Ta Chen.
Diversification Opportunities for Formosa Plastics and Ta Chen
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Formosa and 2027 is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Plastics Corp and Ta Chen Stainless in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ta Chen Stainless 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 Ta Chen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ta Chen Stainless has no effect on the direction of Formosa Plastics i.e., Formosa Plastics and Ta Chen go up and down completely randomly.
Pair Corralation between Formosa Plastics and Ta Chen
Assuming the 90 days trading horizon Formosa Plastics Corp is expected to under-perform the Ta Chen. In addition to that, Formosa Plastics is 1.03 times more volatile than Ta Chen Stainless. It trades about -0.2 of its total potential returns per unit of risk. Ta Chen Stainless is currently generating about -0.08 per unit of volatility. If you would invest 3,380 in Ta Chen Stainless on September 23, 2024 and sell it today you would lose (395.00) from holding Ta Chen Stainless or give up 11.69% 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. Ta Chen Stainless
Performance |
Timeline |
Formosa Plastics Corp |
Ta Chen Stainless |
Formosa Plastics and Ta Chen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Plastics and Ta Chen
The main advantage of trading using opposite Formosa Plastics and Ta Chen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Plastics position performs unexpectedly, Ta Chen 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 Ta Chen will offset losses from the drop in Ta Chen'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 |
Ta Chen vs. Formosa Plastics Corp | Ta Chen vs. Formosa Chemicals Fibre | Ta Chen vs. China Steel Corp | Ta Chen 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 Global Correlations module to find global opportunities by holding instruments from different markets.
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