Correlation Between Tah Tong and Universal Textile
Can any of the company-specific risk be diversified away by investing in both Tah Tong and Universal Textile 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 Tah Tong and Universal Textile into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tah Tong Textile and Universal Textile Co, you can compare the effects of market volatilities on Tah Tong and Universal Textile 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 Tah Tong with a short position of Universal Textile. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tah Tong and Universal Textile.
Diversification Opportunities for Tah Tong and Universal Textile
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Tah and Universal is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Tah Tong Textile and Universal Textile Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Textile and Tah Tong 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 Tah Tong Textile are associated (or correlated) with Universal Textile. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Textile has no effect on the direction of Tah Tong i.e., Tah Tong and Universal Textile go up and down completely randomly.
Pair Corralation between Tah Tong and Universal Textile
Assuming the 90 days trading horizon Tah Tong Textile is expected to under-perform the Universal Textile. In addition to that, Tah Tong is 1.13 times more volatile than Universal Textile Co. It trades about -0.16 of its total potential returns per unit of risk. Universal Textile Co is currently generating about -0.16 per unit of volatility. If you would invest 1,920 in Universal Textile Co on September 15, 2024 and sell it today you would lose (215.00) from holding Universal Textile Co or give up 11.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Tah Tong Textile vs. Universal Textile Co
Performance |
Timeline |
Tah Tong Textile |
Universal Textile |
Tah Tong and Universal Textile Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tah Tong and Universal Textile
The main advantage of trading using opposite Tah Tong and Universal Textile positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tah Tong position performs unexpectedly, Universal Textile 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 Universal Textile will offset losses from the drop in Universal Textile's long position.Tah Tong vs. Rafael Microelectronics | Tah Tong vs. Asustek Computer | Tah Tong vs. Tung Thih Electronic | Tah Tong vs. Cameo Communications |
Universal Textile vs. Taiwan Taffeta Fabric | Universal Textile vs. Wisher Industrial Co | Universal Textile vs. Yi Jinn Industrial | Universal Textile vs. Tah Tong Textile |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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