Correlation Between X Financial and Vornado Realty
Can any of the company-specific risk be diversified away by investing in both X Financial and Vornado Realty 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 X Financial and Vornado Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between X Financial Class and Vornado Realty Trust, you can compare the effects of market volatilities on X Financial and Vornado Realty 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 X Financial with a short position of Vornado Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of X Financial and Vornado Realty.
Diversification Opportunities for X Financial and Vornado Realty
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between XYF and Vornado is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding X Financial Class and Vornado Realty Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vornado Realty Trust and X 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 X Financial Class are associated (or correlated) with Vornado Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vornado Realty Trust has no effect on the direction of X Financial i.e., X Financial and Vornado Realty go up and down completely randomly.
Pair Corralation between X Financial and Vornado Realty
Considering the 90-day investment horizon X Financial Class is expected to generate 2.53 times more return on investment than Vornado Realty. However, X Financial is 2.53 times more volatile than Vornado Realty Trust. It trades about 0.09 of its potential returns per unit of risk. Vornado Realty Trust is currently generating about 0.05 per unit of risk. If you would invest 254.00 in X Financial Class on October 5, 2024 and sell it today you would earn a total of 587.00 from holding X Financial Class or generate 231.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.78% |
Values | Daily Returns |
X Financial Class vs. Vornado Realty Trust
Performance |
Timeline |
X Financial Class |
Vornado Realty Trust |
X Financial and Vornado Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with X Financial and Vornado Realty
The main advantage of trading using opposite X Financial and Vornado Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if X Financial position performs unexpectedly, Vornado Realty 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 Vornado Realty will offset losses from the drop in Vornado Realty's long position.X Financial vs. LM Funding America | X Financial vs. Nisun International Enterprise | X Financial vs. Qudian Inc | X Financial vs. FinVolution Group |
Vornado Realty vs. Westrock Coffee | Vornado Realty vs. Scandinavian Tobacco Group | Vornado Realty vs. Coty Inc | Vornado Realty vs. Apogee Enterprises |
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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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