Correlation Between Formosa Chemicals and Tang Eng
Can any of the company-specific risk be diversified away by investing in both Formosa Chemicals and Tang Eng 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 Chemicals and Tang Eng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Formosa Chemicals Fibre and Tang Eng Iron, you can compare the effects of market volatilities on Formosa Chemicals and Tang Eng 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 Chemicals with a short position of Tang Eng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Formosa Chemicals and Tang Eng.
Diversification Opportunities for Formosa Chemicals and Tang Eng
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Formosa and Tang is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Formosa Chemicals Fibre and Tang Eng Iron in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tang Eng Iron and Formosa Chemicals 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 Chemicals Fibre are associated (or correlated) with Tang Eng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tang Eng Iron has no effect on the direction of Formosa Chemicals i.e., Formosa Chemicals and Tang Eng go up and down completely randomly.
Pair Corralation between Formosa Chemicals and Tang Eng
Assuming the 90 days trading horizon Formosa Chemicals Fibre is expected to under-perform the Tang Eng. In addition to that, Formosa Chemicals is 1.66 times more volatile than Tang Eng Iron. It trades about -0.47 of its total potential returns per unit of risk. Tang Eng Iron is currently generating about -0.13 per unit of volatility. If you would invest 3,300 in Tang Eng Iron on September 22, 2024 and sell it today you would lose (115.00) from holding Tang Eng Iron or give up 3.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Formosa Chemicals Fibre vs. Tang Eng Iron
Performance |
Timeline |
Formosa Chemicals Fibre |
Tang Eng Iron |
Formosa Chemicals and Tang Eng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Formosa Chemicals and Tang Eng
The main advantage of trading using opposite Formosa Chemicals and Tang Eng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Formosa Chemicals position performs unexpectedly, Tang Eng 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 Tang Eng will offset losses from the drop in Tang Eng's long position.Formosa Chemicals vs. Formosa Plastics Corp | Formosa Chemicals vs. China Steel Corp | Formosa Chemicals vs. Formosa Petrochemical Corp | Formosa Chemicals vs. Cathay Financial Holding |
Tang Eng vs. Coxon Precise Industrial | Tang Eng vs. Chung Lien Transportation | Tang Eng vs. Skardin Industrial | Tang Eng vs. Formosa Chemicals Fibre |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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