Correlation Between Visa and Yi Jinn
Can any of the company-specific risk be diversified away by investing in both Visa and Yi Jinn 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 Visa and Yi Jinn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and Yi Jinn Industrial, you can compare the effects of market volatilities on Visa and Yi Jinn 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 Visa with a short position of Yi Jinn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Yi Jinn.
Diversification Opportunities for Visa and Yi Jinn
Good diversification
The 3 months correlation between Visa and 1457 is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Yi Jinn Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yi Jinn Industrial and Visa 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 Visa Class A are associated (or correlated) with Yi Jinn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yi Jinn Industrial has no effect on the direction of Visa i.e., Visa and Yi Jinn go up and down completely randomly.
Pair Corralation between Visa and Yi Jinn
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.88 times more return on investment than Yi Jinn. However, Visa Class A is 1.14 times less risky than Yi Jinn. It trades about 0.09 of its potential returns per unit of risk. Yi Jinn Industrial is currently generating about 0.02 per unit of risk. If you would invest 20,311 in Visa Class A on September 17, 2024 and sell it today you would earn a total of 11,163 from holding Visa Class A or generate 54.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 96.77% |
Values | Daily Returns |
Visa Class A vs. Yi Jinn Industrial
Performance |
Timeline |
Visa Class A |
Yi Jinn Industrial |
Visa and Yi Jinn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Yi Jinn
The main advantage of trading using opposite Visa and Yi Jinn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Yi Jinn 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 Yi Jinn will offset losses from the drop in Yi Jinn's long position.The idea behind Visa Class A and Yi Jinn Industrial pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Yi Jinn vs. Zig Sheng Industrial | Yi Jinn vs. Hong Yi Fiber | Yi Jinn vs. Lealea Enterprise Co | Yi Jinn vs. Shinkong Synthetic Fiber |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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