Correlation Between Swancor Holding and Chung Hung
Can any of the company-specific risk be diversified away by investing in both Swancor Holding and Chung Hung 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 Swancor Holding and Chung Hung into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Swancor Holding Co and Chung Hung Steel, you can compare the effects of market volatilities on Swancor Holding and Chung Hung 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 Swancor Holding with a short position of Chung Hung. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swancor Holding and Chung Hung.
Diversification Opportunities for Swancor Holding and Chung Hung
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Swancor and Chung is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Swancor Holding Co and Chung Hung Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hung Steel and Swancor Holding 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 Swancor Holding Co are associated (or correlated) with Chung Hung. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hung Steel has no effect on the direction of Swancor Holding i.e., Swancor Holding and Chung Hung go up and down completely randomly.
Pair Corralation between Swancor Holding and Chung Hung
Assuming the 90 days trading horizon Swancor Holding Co is expected to under-perform the Chung Hung. In addition to that, Swancor Holding is 1.57 times more volatile than Chung Hung Steel. It trades about -0.07 of its total potential returns per unit of risk. Chung Hung Steel is currently generating about -0.04 per unit of volatility. If you would invest 2,255 in Chung Hung Steel on September 1, 2024 and sell it today you would lose (285.00) from holding Chung Hung Steel or give up 12.64% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 99.22% |
| Values | Daily Returns |
Swancor Holding Co vs. Chung Hung Steel
Performance |
| Timeline |
| Swancor Holding |
| Chung Hung Steel |
Swancor Holding and Chung Hung Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Swancor Holding and Chung Hung
The main advantage of trading using opposite Swancor Holding and Chung Hung positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swancor Holding position performs unexpectedly, Chung Hung 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 Chung Hung will offset losses from the drop in Chung Hung's long position.| Swancor Holding vs. Century Iron And | Swancor Holding vs. Yeong Guan Energy | Swancor Holding vs. Chung Hsin Electric Machinery | Swancor Holding vs. Unimicron Technology Corp |
| Chung Hung vs. China Steel Corp | Chung Hung vs. Yieh Phui Enterprise | Chung Hung vs. Ta Chen Stainless | Chung Hung vs. Yang Ming Marine |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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