Correlation Between Cheng Shin and Ching Feng
Can any of the company-specific risk be diversified away by investing in both Cheng Shin and Ching Feng 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 Ching Feng 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 Ching Feng Home, you can compare the effects of market volatilities on Cheng Shin and Ching Feng 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 Ching Feng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cheng Shin and Ching Feng.
Diversification Opportunities for Cheng Shin and Ching Feng
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cheng and Ching is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Cheng Shin Rubber and Ching Feng Home in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ching Feng Home 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 Ching Feng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ching Feng Home has no effect on the direction of Cheng Shin i.e., Cheng Shin and Ching Feng go up and down completely randomly.
Pair Corralation between Cheng Shin and Ching Feng
Assuming the 90 days trading horizon Cheng Shin Rubber is expected to under-perform the Ching Feng. But the stock apears to be less risky and, when comparing its historical volatility, Cheng Shin Rubber is 1.08 times less risky than Ching Feng. The stock trades about -0.07 of its potential returns per unit of risk. The Ching Feng Home is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 2,965 in Ching Feng Home on October 15, 2024 and sell it today you would lose (10.00) from holding Ching Feng Home or give up 0.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cheng Shin Rubber vs. Ching Feng Home
Performance |
Timeline |
Cheng Shin Rubber |
Ching Feng Home |
Cheng Shin and Ching Feng Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cheng Shin and Ching Feng
The main advantage of trading using opposite Cheng Shin and Ching Feng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cheng Shin position performs unexpectedly, Ching Feng 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 Ching Feng will offset losses from the drop in Ching Feng'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 |
Ching Feng vs. Globe Union Industrial | Ching Feng vs. Taiwan Fu Hsing | Ching Feng vs. Taiwan Hon Chuan | Ching Feng vs. Feng Tay Enterprises |
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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