Correlation Between Wistron Information and Lian Hwa
Can any of the company-specific risk be diversified away by investing in both Wistron Information and Lian Hwa 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 Wistron Information and Lian Hwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wistron Information Technology and Lian Hwa Foods, you can compare the effects of market volatilities on Wistron Information and Lian Hwa 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 Wistron Information with a short position of Lian Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wistron Information and Lian Hwa.
Diversification Opportunities for Wistron Information and Lian Hwa
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Wistron and Lian is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Wistron Information Technology and Lian Hwa Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lian Hwa Foods and Wistron Information 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 Wistron Information Technology are associated (or correlated) with Lian Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lian Hwa Foods has no effect on the direction of Wistron Information i.e., Wistron Information and Lian Hwa go up and down completely randomly.
Pair Corralation between Wistron Information and Lian Hwa
Assuming the 90 days trading horizon Wistron Information Technology is expected to under-perform the Lian Hwa. In addition to that, Wistron Information is 1.23 times more volatile than Lian Hwa Foods. It trades about -0.03 of its total potential returns per unit of risk. Lian Hwa Foods is currently generating about 0.09 per unit of volatility. If you would invest 8,880 in Lian Hwa Foods on September 2, 2024 and sell it today you would earn a total of 3,070 from holding Lian Hwa Foods or generate 34.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Wistron Information Technology vs. Lian Hwa Foods
Performance |
| Timeline |
| Wistron Information |
| Lian Hwa Foods |
Wistron Information and Lian Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Wistron Information and Lian Hwa
The main advantage of trading using opposite Wistron Information and Lian Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wistron Information position performs unexpectedly, Lian Hwa 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 Lian Hwa will offset losses from the drop in Lian Hwa's long position.| Wistron Information vs. Acer E Enabling Service | Wistron Information vs. Green World Fintech | Wistron Information vs. Syscom Computer Engineering |
| Lian Hwa vs. Lien Hwa Industrial | Lian Hwa vs. Charoen Pokphand Enterprise | Lian Hwa vs. Great Wall Enterprise | Lian Hwa vs. Uni President Enterprises 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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