Correlation Between Hartford Financial and Xinhua Winshare
Can any of the company-specific risk be diversified away by investing in both Hartford Financial and Xinhua Winshare 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 Hartford Financial and Xinhua Winshare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Hartford Financial and Xinhua Winshare Publishing, you can compare the effects of market volatilities on Hartford Financial and Xinhua Winshare 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 Hartford Financial with a short position of Xinhua Winshare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hartford Financial and Xinhua Winshare.
Diversification Opportunities for Hartford Financial and Xinhua Winshare
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hartford and Xinhua is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding The Hartford Financial and Xinhua Winshare Publishing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinhua Winshare Publ and Hartford Financial 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 The Hartford Financial are associated (or correlated) with Xinhua Winshare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinhua Winshare Publ has no effect on the direction of Hartford Financial i.e., Hartford Financial and Xinhua Winshare go up and down completely randomly.
Pair Corralation between Hartford Financial and Xinhua Winshare
If you would invest 27.00 in Xinhua Winshare Publishing on September 2, 2024 and sell it today you would earn a total of 89.00 from holding Xinhua Winshare Publishing or generate 329.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 0.0% |
| Values | Daily Returns |
The Hartford Financial vs. Xinhua Winshare Publishing
Performance |
| Timeline |
| The Hartford Financial |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
| Xinhua Winshare Publ |
Hartford Financial and Xinhua Winshare Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hartford Financial and Xinhua Winshare
The main advantage of trading using opposite Hartford Financial and Xinhua Winshare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hartford Financial position performs unexpectedly, Xinhua Winshare 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 Xinhua Winshare will offset losses from the drop in Xinhua Winshare's long position.| Hartford Financial vs. MAGIC SOFTWARE ENTR | Hartford Financial vs. Tsingtao Brewery | Hartford Financial vs. Fevertree Drinks PLC | Hartford Financial vs. American Eagle Outfitters |
| Xinhua Winshare vs. Superior Plus Corp | Xinhua Winshare vs. NMI Holdings | Xinhua Winshare vs. Origin Agritech | Xinhua Winshare vs. SIVERS SEMICONDUCTORS AB |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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