Correlation Between Xinhua Winshare and SOFI TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both Xinhua Winshare and SOFI TECHNOLOGIES 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 Xinhua Winshare and SOFI TECHNOLOGIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xinhua Winshare Publishing and SOFI TECHNOLOGIES, you can compare the effects of market volatilities on Xinhua Winshare and SOFI TECHNOLOGIES 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 Xinhua Winshare with a short position of SOFI TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinhua Winshare and SOFI TECHNOLOGIES.
Diversification Opportunities for Xinhua Winshare and SOFI TECHNOLOGIES
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xinhua and SOFI is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Xinhua Winshare Publishing and SOFI TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFI TECHNOLOGIES and Xinhua Winshare 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 Xinhua Winshare Publishing are associated (or correlated) with SOFI TECHNOLOGIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOFI TECHNOLOGIES has no effect on the direction of Xinhua Winshare i.e., Xinhua Winshare and SOFI TECHNOLOGIES go up and down completely randomly.
Pair Corralation between Xinhua Winshare and SOFI TECHNOLOGIES
Assuming the 90 days horizon Xinhua Winshare Publishing is expected to generate 0.61 times more return on investment than SOFI TECHNOLOGIES. However, Xinhua Winshare Publishing is 1.64 times less risky than SOFI TECHNOLOGIES. It trades about 0.15 of its potential returns per unit of risk. SOFI TECHNOLOGIES is currently generating about -0.1 per unit of risk. If you would invest 127.00 in Xinhua Winshare Publishing on October 13, 2024 and sell it today you would earn a total of 7.00 from holding Xinhua Winshare Publishing or generate 5.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Xinhua Winshare Publishing vs. SOFI TECHNOLOGIES
Performance |
Timeline |
Xinhua Winshare Publ |
SOFI TECHNOLOGIES |
Xinhua Winshare and SOFI TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinhua Winshare and SOFI TECHNOLOGIES
The main advantage of trading using opposite Xinhua Winshare and SOFI TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinhua Winshare position performs unexpectedly, SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES will offset losses from the drop in SOFI TECHNOLOGIES's long position.Xinhua Winshare vs. GWILLI FOOD | Xinhua Winshare vs. MTY Food Group | Xinhua Winshare vs. Thai Beverage Public | Xinhua Winshare vs. MUTUIONLINE |
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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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