Correlation Between Xinhua Winshare and BRUNELLO C
Can any of the company-specific risk be diversified away by investing in both Xinhua Winshare and BRUNELLO C 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 BRUNELLO C 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 BRUNELLO C SPA, you can compare the effects of market volatilities on Xinhua Winshare and BRUNELLO C 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 BRUNELLO C. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinhua Winshare and BRUNELLO C.
Diversification Opportunities for Xinhua Winshare and BRUNELLO C
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xinhua and BRUNELLO is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Xinhua Winshare Publishing and BRUNELLO C SPA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BRUNELLO C SPA 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 BRUNELLO C. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BRUNELLO C SPA has no effect on the direction of Xinhua Winshare i.e., Xinhua Winshare and BRUNELLO C go up and down completely randomly.
Pair Corralation between Xinhua Winshare and BRUNELLO C
Assuming the 90 days horizon Xinhua Winshare Publishing is expected to generate 0.99 times more return on investment than BRUNELLO C. However, Xinhua Winshare Publishing is 1.01 times less risky than BRUNELLO C. It trades about 0.78 of its potential returns per unit of risk. BRUNELLO C SPA is currently generating about 0.36 per unit of risk. If you would invest 113.00 in Xinhua Winshare Publishing on September 29, 2024 and sell it today you would earn a total of 30.00 from holding Xinhua Winshare Publishing or generate 26.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.0% |
Values | Daily Returns |
Xinhua Winshare Publishing vs. BRUNELLO C SPA
Performance |
Timeline |
Xinhua Winshare Publ |
BRUNELLO C SPA |
Xinhua Winshare and BRUNELLO C Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinhua Winshare and BRUNELLO C
The main advantage of trading using opposite Xinhua Winshare and BRUNELLO C positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinhua Winshare position performs unexpectedly, BRUNELLO C 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 BRUNELLO C will offset losses from the drop in BRUNELLO C's long position.Xinhua Winshare vs. RELX PLC | Xinhua Winshare vs. Relx PLC ADR | Xinhua Winshare vs. Wolters Kluwer NV | Xinhua Winshare vs. WOLTERS KLUWER ADR |
BRUNELLO C vs. Xinhua Winshare Publishing | BRUNELLO C vs. United Airlines Holdings | BRUNELLO C vs. Perdoceo Education | BRUNELLO C vs. IDP EDUCATION LTD |
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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