Correlation Between Mastercard and Perella Weinberg
Can any of the company-specific risk be diversified away by investing in both Mastercard and Perella Weinberg 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 Mastercard and Perella Weinberg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mastercard and Perella Weinberg Partners, you can compare the effects of market volatilities on Mastercard and Perella Weinberg 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 Mastercard with a short position of Perella Weinberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mastercard and Perella Weinberg.
Diversification Opportunities for Mastercard and Perella Weinberg
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mastercard and Perella is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Mastercard and Perella Weinberg Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perella Weinberg Partners and Mastercard 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 Mastercard are associated (or correlated) with Perella Weinberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perella Weinberg Partners has no effect on the direction of Mastercard i.e., Mastercard and Perella Weinberg go up and down completely randomly.
Pair Corralation between Mastercard and Perella Weinberg
Allowing for the 90-day total investment horizon Mastercard is expected to generate 4.59 times less return on investment than Perella Weinberg. But when comparing it to its historical volatility, Mastercard is 4.52 times less risky than Perella Weinberg. It trades about 0.24 of its potential returns per unit of risk. Perella Weinberg Partners is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 2,091 in Perella Weinberg Partners on September 2, 2024 and sell it today you would earn a total of 476.00 from holding Perella Weinberg Partners or generate 22.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mastercard vs. Perella Weinberg Partners
Performance |
Timeline |
Mastercard |
Perella Weinberg Partners |
Mastercard and Perella Weinberg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mastercard and Perella Weinberg
The main advantage of trading using opposite Mastercard and Perella Weinberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mastercard position performs unexpectedly, Perella Weinberg 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 Perella Weinberg will offset losses from the drop in Perella Weinberg's long position.Mastercard vs. American Express | Mastercard vs. PayPal Holdings | Mastercard vs. Upstart Holdings | Mastercard vs. Capital One Financial |
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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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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