Correlation Between Walsin Lihwa and China Electric
Can any of the company-specific risk be diversified away by investing in both Walsin Lihwa and China Electric 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 Walsin Lihwa and China Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Walsin Lihwa Corp and China Electric Manufacturing, you can compare the effects of market volatilities on Walsin Lihwa and China Electric 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 Walsin Lihwa with a short position of China Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walsin Lihwa and China Electric.
Diversification Opportunities for Walsin Lihwa and China Electric
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Walsin and China is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Walsin Lihwa Corp and China Electric Manufacturing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Electric Manuf and Walsin Lihwa 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 Walsin Lihwa Corp are associated (or correlated) with China Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Electric Manuf has no effect on the direction of Walsin Lihwa i.e., Walsin Lihwa and China Electric go up and down completely randomly.
Pair Corralation between Walsin Lihwa and China Electric
Assuming the 90 days trading horizon Walsin Lihwa Corp is expected to under-perform the China Electric. But the stock apears to be less risky and, when comparing its historical volatility, Walsin Lihwa Corp is 1.12 times less risky than China Electric. The stock trades about -0.05 of its potential returns per unit of risk. The China Electric Manufacturing is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,400 in China Electric Manufacturing on August 30, 2024 and sell it today you would earn a total of 350.00 from holding China Electric Manufacturing or generate 25.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Walsin Lihwa Corp vs. China Electric Manufacturing
Performance |
Timeline |
Walsin Lihwa Corp |
China Electric Manuf |
Walsin Lihwa and China Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walsin Lihwa and China Electric
The main advantage of trading using opposite Walsin Lihwa and China Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walsin Lihwa position performs unexpectedly, China Electric 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 China Electric will offset losses from the drop in China Electric's long position.Walsin Lihwa vs. Yulon Motor Co | Walsin Lihwa vs. Far Eastern Department | Walsin Lihwa vs. China Steel Corp | Walsin Lihwa vs. Chang Hwa Commercial |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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