Correlation Between Cheng Shin and Formosa Taffeta
Can any of the company-specific risk be diversified away by investing in both Cheng Shin and Formosa Taffeta 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 Cheng Shin and Formosa Taffeta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cheng Shin Rubber and Formosa Taffeta Co, you can compare the effects of market volatilities on Cheng Shin and Formosa Taffeta 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 Cheng Shin with a short position of Formosa Taffeta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheng Shin and Formosa Taffeta.
Diversification Opportunities for Cheng Shin and Formosa Taffeta
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Cheng and Formosa is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Cheng Shin Rubber and Formosa Taffeta Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Formosa Taffeta and Cheng Shin 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 Cheng Shin Rubber are associated (or correlated) with Formosa Taffeta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Formosa Taffeta has no effect on the direction of Cheng Shin i.e., Cheng Shin and Formosa Taffeta go up and down completely randomly.
Pair Corralation between Cheng Shin and Formosa Taffeta
Assuming the 90 days trading horizon Cheng Shin Rubber is expected to generate 1.85 times more return on investment than Formosa Taffeta. However, Cheng Shin is 1.85 times more volatile than Formosa Taffeta Co. It trades about 0.05 of its potential returns per unit of risk. Formosa Taffeta Co is currently generating about -0.08 per unit of risk. If you would invest 3,490 in Cheng Shin Rubber on October 10, 2024 and sell it today you would earn a total of 1,400 from holding Cheng Shin Rubber or generate 40.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cheng Shin Rubber vs. Formosa Taffeta Co
Performance |
Timeline |
Cheng Shin Rubber |
Formosa Taffeta |
Cheng Shin and Formosa Taffeta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheng Shin and Formosa Taffeta
The main advantage of trading using opposite Cheng Shin and Formosa Taffeta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheng Shin position performs unexpectedly, Formosa Taffeta 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 Taffeta will offset losses from the drop in Formosa Taffeta's long position.Cheng Shin vs. Uni President Enterprises Corp | Cheng Shin vs. Formosa Chemicals Fibre | Cheng Shin vs. Asia Cement Corp | Cheng Shin vs. Pou Chen Corp |
Formosa Taffeta vs. Far Eastern New | Formosa Taffeta vs. Formosa Chemicals Fibre | Formosa Taffeta vs. Nan Ya Plastics | Formosa Taffeta vs. Asia Cement 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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