Correlation Between Visa and SoFi Technologies
Can any of the company-specific risk be diversified away by investing in both Visa 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 Visa and SoFi Technologies 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 SoFi Technologies, you can compare the effects of market volatilities on Visa 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 Visa with a short position of SoFi Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and SoFi Technologies.
Diversification Opportunities for Visa and SoFi Technologies
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Visa and SoFi is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and SoFi Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoFi Technologies 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 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 Visa i.e., Visa and SoFi Technologies go up and down completely randomly.
Pair Corralation between Visa and SoFi Technologies
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.26 times more return on investment than SoFi Technologies. However, Visa Class A is 3.9 times less risky than SoFi Technologies. It trades about 0.13 of its potential returns per unit of risk. SoFi Technologies is currently generating about -0.06 per unit of risk. If you would invest 31,812 in Visa Class A on December 27, 2024 and sell it today you would earn a total of 2,606 from holding Visa Class A or generate 8.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Visa Class A vs. SoFi Technologies
Performance |
Timeline |
Visa Class A |
SoFi Technologies |
Visa and SoFi Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and SoFi Technologies
The main advantage of trading using opposite Visa and SoFi Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa 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' long position.Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
SoFi Technologies vs. Upstart Holdings | SoFi Technologies vs. Affirm Holdings | SoFi Technologies vs. Lucid Group | SoFi Technologies vs. Palantir Technologies Class |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |