Correlation Between Wisher Industrial and Tah Tong
Can any of the company-specific risk be diversified away by investing in both Wisher Industrial and Tah Tong 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 Wisher Industrial and Tah Tong into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wisher Industrial Co and Tah Tong Textile, you can compare the effects of market volatilities on Wisher Industrial and Tah Tong 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 Wisher Industrial with a short position of Tah Tong. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wisher Industrial and Tah Tong.
Diversification Opportunities for Wisher Industrial and Tah Tong
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Wisher and Tah is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Wisher Industrial Co and Tah Tong Textile in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tah Tong Textile and Wisher Industrial 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 Wisher Industrial Co are associated (or correlated) with Tah Tong. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tah Tong Textile has no effect on the direction of Wisher Industrial i.e., Wisher Industrial and Tah Tong go up and down completely randomly.
Pair Corralation between Wisher Industrial and Tah Tong
Assuming the 90 days trading horizon Wisher Industrial is expected to generate 2.14 times less return on investment than Tah Tong. But when comparing it to its historical volatility, Wisher Industrial Co is 2.86 times less risky than Tah Tong. It trades about 0.16 of its potential returns per unit of risk. Tah Tong Textile is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 1,365 in Tah Tong Textile on December 4, 2024 and sell it today you would earn a total of 40.00 from holding Tah Tong Textile or generate 2.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wisher Industrial Co vs. Tah Tong Textile
Performance |
Timeline |
Wisher Industrial |
Tah Tong Textile |
Wisher Industrial and Tah Tong Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wisher Industrial and Tah Tong
The main advantage of trading using opposite Wisher Industrial and Tah Tong positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wisher Industrial position performs unexpectedly, Tah Tong 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 Tah Tong will offset losses from the drop in Tah Tong's long position.Wisher Industrial vs. De Licacy Industrial | Wisher Industrial vs. Nien Hsing Textile | Wisher Industrial vs. Tainan Enterprises Co | Wisher Industrial vs. Tex Ray Industrial 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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