Correlation Between Wei Chuan and Mitake Information
Can any of the company-specific risk be diversified away by investing in both Wei Chuan and Mitake Information 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 Mitake Information 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 Mitake Information, you can compare the effects of market volatilities on Wei Chuan and Mitake Information 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 Mitake Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wei Chuan and Mitake Information.
Diversification Opportunities for Wei Chuan and Mitake Information
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Wei and Mitake is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Wei Chuan Foods and Mitake Information in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mitake Information 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 Mitake Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mitake Information has no effect on the direction of Wei Chuan i.e., Wei Chuan and Mitake Information go up and down completely randomly.
Pair Corralation between Wei Chuan and Mitake Information
Assuming the 90 days trading horizon Wei Chuan Foods is expected to under-perform the Mitake Information. But the stock apears to be less risky and, when comparing its historical volatility, Wei Chuan Foods is 1.69 times less risky than Mitake Information. The stock trades about -0.01 of its potential returns per unit of risk. The Mitake Information is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 6,600 in Mitake Information on December 28, 2024 and sell it today you would earn a total of 380.00 from holding Mitake Information or generate 5.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Wei Chuan Foods vs. Mitake Information
Performance |
Timeline |
Wei Chuan Foods |
Mitake Information |
Wei Chuan and Mitake Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wei Chuan and Mitake Information
The main advantage of trading using opposite Wei Chuan and Mitake Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wei Chuan position performs unexpectedly, Mitake Information 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 Mitake Information will offset losses from the drop in Mitake Information's 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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