Correlation Between Wei Chuan and Ligitek Electronics
Can any of the company-specific risk be diversified away by investing in both Wei Chuan and Ligitek Electronics 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 Wei Chuan and Ligitek Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wei Chuan Foods and Ligitek Electronics Co, you can compare the effects of market volatilities on Wei Chuan and Ligitek Electronics 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 Wei Chuan with a short position of Ligitek Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wei Chuan and Ligitek Electronics.
Diversification Opportunities for Wei Chuan and Ligitek Electronics
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Wei and Ligitek is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Wei Chuan Foods and Ligitek Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ligitek Electronics and Wei Chuan 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 Wei Chuan Foods are associated (or correlated) with Ligitek Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ligitek Electronics has no effect on the direction of Wei Chuan i.e., Wei Chuan and Ligitek Electronics go up and down completely randomly.
Pair Corralation between Wei Chuan and Ligitek Electronics
Assuming the 90 days trading horizon Wei Chuan is expected to generate 34.22 times less return on investment than Ligitek Electronics. But when comparing it to its historical volatility, Wei Chuan Foods is 8.65 times less risky than Ligitek Electronics. It trades about 0.03 of its potential returns per unit of risk. Ligitek Electronics Co is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 5,300 in Ligitek Electronics Co on December 21, 2024 and sell it today you would earn a total of 1,590 from holding Ligitek Electronics Co or generate 30.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wei Chuan Foods vs. Ligitek Electronics Co
Performance |
Timeline |
Wei Chuan Foods |
Ligitek Electronics |
Wei Chuan and Ligitek Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wei Chuan and Ligitek Electronics
The main advantage of trading using opposite Wei Chuan and Ligitek Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wei Chuan position performs unexpectedly, Ligitek Electronics 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 Ligitek Electronics will offset losses from the drop in Ligitek Electronics' long position.Wei Chuan vs. Uni President Enterprises Corp | Wei Chuan vs. Taisun Enterprise Co | Wei Chuan vs. AGV Products Corp | Wei Chuan vs. Great Wall Enterprise |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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