Correlation Between Visa and GXO Logistics
Can any of the company-specific risk be diversified away by investing in both Visa and GXO Logistics 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 GXO Logistics 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 GXO Logistics, you can compare the effects of market volatilities on Visa and GXO Logistics 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 GXO Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and GXO Logistics.
Diversification Opportunities for Visa and GXO Logistics
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Visa and GXO is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and GXO Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GXO Logistics 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 GXO Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GXO Logistics has no effect on the direction of Visa i.e., Visa and GXO Logistics go up and down completely randomly.
Pair Corralation between Visa and GXO Logistics
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.36 times more return on investment than GXO Logistics. However, Visa Class A is 2.78 times less risky than GXO Logistics. It trades about 0.08 of its potential returns per unit of risk. GXO Logistics is currently generating about -0.02 per unit of risk. If you would invest 32,037 in Visa Class A on December 25, 2024 and sell it today you would earn a total of 1,529 from holding Visa Class A or generate 4.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Visa Class A vs. GXO Logistics
Performance |
Timeline |
Visa Class A |
GXO Logistics |
Visa and GXO Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and GXO Logistics
The main advantage of trading using opposite Visa and GXO Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, GXO Logistics 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 GXO Logistics will offset losses from the drop in GXO Logistics' long position.Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
GXO Logistics vs. Forward Air | GXO Logistics vs. Landstar System | GXO Logistics vs. JB Hunt Transport | GXO Logistics vs. Expeditors International of |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Other Complementary Tools
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |