Correlation Between Ford and Mastercard
Can any of the company-specific risk be diversified away by investing in both Ford and Mastercard 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 Ford and Mastercard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Mastercard, you can compare the effects of market volatilities on Ford and Mastercard 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 Ford with a short position of Mastercard. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Mastercard.
Diversification Opportunities for Ford and Mastercard
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Mastercard is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Mastercard in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mastercard and Ford 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 Ford Motor are associated (or correlated) with Mastercard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mastercard has no effect on the direction of Ford i.e., Ford and Mastercard go up and down completely randomly.
Pair Corralation between Ford and Mastercard
Taking into account the 90-day investment horizon Ford is expected to generate 1.39 times less return on investment than Mastercard. In addition to that, Ford is 1.72 times more volatile than Mastercard. It trades about 0.04 of its total potential returns per unit of risk. Mastercard is currently generating about 0.09 per unit of volatility. If you would invest 52,476 in Mastercard on December 28, 2024 and sell it today you would earn a total of 3,281 from holding Mastercard or generate 6.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Mastercard
Performance |
Timeline |
Ford Motor |
Mastercard |
Ford and Mastercard Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Mastercard
The main advantage of trading using opposite Ford and Mastercard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Mastercard 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 Mastercard will offset losses from the drop in Mastercard's long position.The idea behind Ford Motor and Mastercard pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Mastercard vs. American Express | Mastercard vs. PayPal Holdings | Mastercard vs. Upstart Holdings | Mastercard vs. Capital One Financial |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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