Correlation Between Shinkong Textile and Tung Ho
Can any of the company-specific risk be diversified away by investing in both Shinkong Textile and Tung Ho 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 Shinkong Textile and Tung Ho into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinkong Textile Co and Tung Ho Textile, you can compare the effects of market volatilities on Shinkong Textile and Tung Ho 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 Shinkong Textile with a short position of Tung Ho. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinkong Textile and Tung Ho.
Diversification Opportunities for Shinkong Textile and Tung Ho
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Shinkong and Tung is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Shinkong Textile Co and Tung Ho Textile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tung Ho Textile and Shinkong Textile 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 Shinkong Textile Co are associated (or correlated) with Tung Ho. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tung Ho Textile has no effect on the direction of Shinkong Textile i.e., Shinkong Textile and Tung Ho go up and down completely randomly.
Pair Corralation between Shinkong Textile and Tung Ho
Assuming the 90 days trading horizon Shinkong Textile Co is expected to under-perform the Tung Ho. But the stock apears to be less risky and, when comparing its historical volatility, Shinkong Textile Co is 1.47 times less risky than Tung Ho. The stock trades about -0.11 of its potential returns per unit of risk. The Tung Ho Textile is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,245 in Tung Ho Textile on October 23, 2024 and sell it today you would earn a total of 205.00 from holding Tung Ho Textile or generate 9.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shinkong Textile Co vs. Tung Ho Textile
Performance |
Timeline |
Shinkong Textile |
Tung Ho Textile |
Shinkong Textile and Tung Ho Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinkong Textile and Tung Ho
The main advantage of trading using opposite Shinkong Textile and Tung Ho positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinkong Textile position performs unexpectedly, Tung Ho 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 Tung Ho will offset losses from the drop in Tung Ho's long position.Shinkong Textile vs. Shinkong Synthetic Fiber | Shinkong Textile vs. Formosa Taffeta Co | Shinkong Textile vs. Far Eastern New | Shinkong Textile vs. Tainan Spinning Co |
Tung Ho vs. Shinkong Synthetic Fiber | Tung Ho vs. Tainan Spinning Co | Tung Ho vs. Zig Sheng Industrial | Tung Ho vs. Lealea Enterprise Co |
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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