Correlation Between Tang Eng and Cathay Financial
Can any of the company-specific risk be diversified away by investing in both Tang Eng and Cathay Financial 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 Tang Eng and Cathay Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tang Eng Iron and Cathay Financial Holding, you can compare the effects of market volatilities on Tang Eng and Cathay Financial 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 Tang Eng with a short position of Cathay Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tang Eng and Cathay Financial.
Diversification Opportunities for Tang Eng and Cathay Financial
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Tang and Cathay is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Tang Eng Iron and Cathay Financial Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cathay Financial Holding and Tang Eng 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 Tang Eng Iron are associated (or correlated) with Cathay Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cathay Financial Holding has no effect on the direction of Tang Eng i.e., Tang Eng and Cathay Financial go up and down completely randomly.
Pair Corralation between Tang Eng and Cathay Financial
Assuming the 90 days trading horizon Tang Eng Iron is expected to under-perform the Cathay Financial. In addition to that, Tang Eng is 3.24 times more volatile than Cathay Financial Holding. It trades about -0.04 of its total potential returns per unit of risk. Cathay Financial Holding is currently generating about 0.28 per unit of volatility. If you would invest 5,660 in Cathay Financial Holding on October 3, 2024 and sell it today you would earn a total of 350.00 from holding Cathay Financial Holding or generate 6.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tang Eng Iron vs. Cathay Financial Holding
Performance |
Timeline |
Tang Eng Iron |
Cathay Financial Holding |
Tang Eng and Cathay Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tang Eng and Cathay Financial
The main advantage of trading using opposite Tang Eng and Cathay Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tang Eng position performs unexpectedly, Cathay Financial 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 Cathay Financial will offset losses from the drop in Cathay Financial's long position.Tang Eng vs. Yeou Yih Steel | Tang Eng vs. Fubon MSCI Taiwan | Tang Eng vs. YuantaP shares Taiwan Top | Tang Eng vs. YuantaP shares Taiwan Mid Cap |
Cathay Financial vs. Cathay Financial Holding | Cathay Financial vs. Fubon Financial Holding | Cathay Financial vs. Mercuries Life Insurance |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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