Correlation Between Hiwin Mikrosystem and Walsin Lihwa
Can any of the company-specific risk be diversified away by investing in both Hiwin Mikrosystem and Walsin Lihwa 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 Hiwin Mikrosystem and Walsin Lihwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hiwin Mikrosystem Corp and Walsin Lihwa Corp, you can compare the effects of market volatilities on Hiwin Mikrosystem and Walsin Lihwa 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 Hiwin Mikrosystem with a short position of Walsin Lihwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hiwin Mikrosystem and Walsin Lihwa.
Diversification Opportunities for Hiwin Mikrosystem and Walsin Lihwa
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hiwin and Walsin is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Hiwin Mikrosystem Corp and Walsin Lihwa Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Walsin Lihwa Corp and Hiwin Mikrosystem 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 Hiwin Mikrosystem Corp are associated (or correlated) with Walsin Lihwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Walsin Lihwa Corp has no effect on the direction of Hiwin Mikrosystem i.e., Hiwin Mikrosystem and Walsin Lihwa go up and down completely randomly.
Pair Corralation between Hiwin Mikrosystem and Walsin Lihwa
Assuming the 90 days trading horizon Hiwin Mikrosystem Corp is expected to generate 1.97 times more return on investment than Walsin Lihwa. However, Hiwin Mikrosystem is 1.97 times more volatile than Walsin Lihwa Corp. It trades about 0.11 of its potential returns per unit of risk. Walsin Lihwa Corp is currently generating about -0.09 per unit of risk. If you would invest 6,372 in Hiwin Mikrosystem Corp on October 10, 2024 and sell it today you would earn a total of 8,428 from holding Hiwin Mikrosystem Corp or generate 132.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hiwin Mikrosystem Corp vs. Walsin Lihwa Corp
Performance |
Timeline |
Hiwin Mikrosystem Corp |
Walsin Lihwa Corp |
Hiwin Mikrosystem and Walsin Lihwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hiwin Mikrosystem and Walsin Lihwa
The main advantage of trading using opposite Hiwin Mikrosystem and Walsin Lihwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hiwin Mikrosystem position performs unexpectedly, Walsin Lihwa 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 Walsin Lihwa will offset losses from the drop in Walsin Lihwa's long position.Hiwin Mikrosystem vs. Hiwin Technologies Corp | Hiwin Mikrosystem vs. Kung Long Batteries | Hiwin Mikrosystem vs. Airtac International Group | Hiwin Mikrosystem vs. Fortune Electric Co |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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