Correlation Between Tai Tung and Formosa Chemicals
Can any of the company-specific risk be diversified away by investing in both Tai Tung and Formosa Chemicals 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 Tai Tung and Formosa Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tai Tung Communication and Formosa Chemicals Fibre, you can compare the effects of market volatilities on Tai Tung and Formosa Chemicals 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 Tai Tung with a short position of Formosa Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tai Tung and Formosa Chemicals.
Diversification Opportunities for Tai Tung and Formosa Chemicals
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tai and Formosa is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Tai Tung Communication and Formosa Chemicals Fibre in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Chemicals Fibre and Tai Tung 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 Tai Tung Communication are associated (or correlated) with Formosa Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Chemicals Fibre has no effect on the direction of Tai Tung i.e., Tai Tung and Formosa Chemicals go up and down completely randomly.
Pair Corralation between Tai Tung and Formosa Chemicals
Assuming the 90 days trading horizon Tai Tung Communication is expected to generate 1.04 times more return on investment than Formosa Chemicals. However, Tai Tung is 1.04 times more volatile than Formosa Chemicals Fibre. It trades about -0.2 of its potential returns per unit of risk. Formosa Chemicals Fibre is currently generating about -0.52 per unit of risk. If you would invest 2,740 in Tai Tung Communication on September 27, 2024 and sell it today you would lose (225.00) from holding Tai Tung Communication or give up 8.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tai Tung Communication vs. Formosa Chemicals Fibre
Performance |
Timeline |
Tai Tung Communication |
Formosa Chemicals Fibre |
Tai Tung and Formosa Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tai Tung and Formosa Chemicals
The main advantage of trading using opposite Tai Tung and Formosa Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tai Tung position performs unexpectedly, Formosa Chemicals 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 Chemicals will offset losses from the drop in Formosa Chemicals' long position.Tai Tung vs. Century Wind Power | Tai Tung vs. Green World Fintech | Tai Tung vs. Ingentec | Tai Tung vs. Chaheng Precision Co |
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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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