Correlation Between Taiwan Navigation and Walsin Lihwa
Can any of the company-specific risk be diversified away by investing in both Taiwan Navigation 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 Taiwan Navigation and Walsin Lihwa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Taiwan Navigation Co and Walsin Lihwa Corp, you can compare the effects of market volatilities on Taiwan Navigation 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 Taiwan Navigation with a short position of Walsin Lihwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Taiwan Navigation and Walsin Lihwa.
Diversification Opportunities for Taiwan Navigation and Walsin Lihwa
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Taiwan and Walsin is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Taiwan Navigation Co 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 Taiwan Navigation 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 Taiwan Navigation Co 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 Taiwan Navigation i.e., Taiwan Navigation and Walsin Lihwa go up and down completely randomly.
Pair Corralation between Taiwan Navigation and Walsin Lihwa
Assuming the 90 days trading horizon Taiwan Navigation is expected to generate 1.02 times less return on investment than Walsin Lihwa. But when comparing it to its historical volatility, Taiwan Navigation Co is 2.23 times less risky than Walsin Lihwa. It trades about 0.13 of its potential returns per unit of risk. Walsin Lihwa Corp is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2,425 in Walsin Lihwa Corp on December 28, 2024 and sell it today you would earn a total of 170.00 from holding Walsin Lihwa Corp or generate 7.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Taiwan Navigation Co vs. Walsin Lihwa Corp
Performance |
Timeline |
Taiwan Navigation |
Walsin Lihwa Corp |
Taiwan Navigation and Walsin Lihwa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Taiwan Navigation and Walsin Lihwa
The main advantage of trading using opposite Taiwan Navigation and Walsin Lihwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Taiwan Navigation 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.Taiwan Navigation vs. U Ming Marine Transport | Taiwan Navigation vs. Sincere Navigation Corp | Taiwan Navigation vs. Wan Hai Lines | Taiwan Navigation vs. Chinese Maritime Transport |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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