Correlation Between Walsin Lihwa and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Walsin Lihwa and Chung Hsin 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 Chung Hsin 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 Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Walsin Lihwa and Chung Hsin 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 Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Walsin Lihwa and Chung Hsin.
Diversification Opportunities for Walsin Lihwa and Chung Hsin
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Walsin and Chung is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Walsin Lihwa Corp and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric 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 Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Walsin Lihwa i.e., Walsin Lihwa and Chung Hsin go up and down completely randomly.
Pair Corralation between Walsin Lihwa and Chung Hsin
Assuming the 90 days trading horizon Walsin Lihwa Corp is expected to generate 1.42 times more return on investment than Chung Hsin. However, Walsin Lihwa is 1.42 times more volatile than Chung Hsin Electric Machinery. It trades about 0.03 of its potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about -0.04 per unit of risk. If you would invest 2,425 in Walsin Lihwa Corp on December 29, 2024 and sell it today you would earn a total of 45.00 from holding Walsin Lihwa Corp or generate 1.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Walsin Lihwa Corp vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Walsin Lihwa Corp |
Chung Hsin Electric |
Walsin Lihwa and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Walsin Lihwa and Chung Hsin
The main advantage of trading using opposite Walsin Lihwa and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Walsin Lihwa position performs unexpectedly, Chung Hsin 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 Hsin will offset losses from the drop in Chung Hsin's long position.Walsin Lihwa vs. TECO Electric Machinery | Walsin Lihwa vs. Far Eastern New | Walsin Lihwa vs. Nan Ya Plastics | Walsin Lihwa vs. Winbond Electronics Corp |
Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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