Correlation Between Visa and Freightcar America
Can any of the company-specific risk be diversified away by investing in both Visa and Freightcar America 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 Freightcar America 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 Freightcar America, you can compare the effects of market volatilities on Visa and Freightcar America 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 Freightcar America. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Freightcar America.
Diversification Opportunities for Visa and Freightcar America
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Visa and Freightcar is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Freightcar America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Freightcar America 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 Freightcar America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Freightcar America has no effect on the direction of Visa i.e., Visa and Freightcar America go up and down completely randomly.
Pair Corralation between Visa and Freightcar America
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.21 times more return on investment than Freightcar America. However, Visa Class A is 4.85 times less risky than Freightcar America. It trades about 0.17 of its potential returns per unit of risk. Freightcar America is currently generating about -0.11 per unit of risk. If you would invest 31,478 in Visa Class A on December 28, 2024 and sell it today you would earn a total of 3,508 from holding Visa Class A or generate 11.14% 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. Freightcar America
Performance |
Timeline |
Visa Class A |
Freightcar America |
Visa and Freightcar America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Freightcar America
The main advantage of trading using opposite Visa and Freightcar America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Freightcar America 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 Freightcar America will offset losses from the drop in Freightcar America's long position.Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
Freightcar America vs. Greenbrier Companies | Freightcar America vs. LB Foster | Freightcar America vs. Westinghouse Air Brake | Freightcar America vs. CSX Corporation |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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