Correlation Between PayPal Holdings and Real Heart
Can any of the company-specific risk be diversified away by investing in both PayPal Holdings and Real Heart 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 PayPal Holdings and Real Heart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PayPal Holdings and Real Heart, you can compare the effects of market volatilities on PayPal Holdings and Real Heart 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 PayPal Holdings with a short position of Real Heart. Check out your portfolio center. Please also check ongoing floating volatility patterns of PayPal Holdings and Real Heart.
Diversification Opportunities for PayPal Holdings and Real Heart
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between PayPal and Real is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding PayPal Holdings and Real Heart in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Heart and PayPal Holdings 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 PayPal Holdings are associated (or correlated) with Real Heart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Heart has no effect on the direction of PayPal Holdings i.e., PayPal Holdings and Real Heart go up and down completely randomly.
Pair Corralation between PayPal Holdings and Real Heart
Given the investment horizon of 90 days PayPal Holdings is expected to under-perform the Real Heart. But the stock apears to be less risky and, when comparing its historical volatility, PayPal Holdings is 6.39 times less risky than Real Heart. The stock trades about -0.13 of its potential returns per unit of risk. The Real Heart is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,186 in Real Heart on December 29, 2024 and sell it today you would earn a total of 194.00 from holding Real Heart or generate 16.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
PayPal Holdings vs. Real Heart
Performance |
Timeline |
PayPal Holdings |
Real Heart |
PayPal Holdings and Real Heart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PayPal Holdings and Real Heart
The main advantage of trading using opposite PayPal Holdings and Real Heart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PayPal Holdings position performs unexpectedly, Real Heart 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 Real Heart will offset losses from the drop in Real Heart's long position.PayPal Holdings vs. SoFi Technologies | PayPal Holdings vs. Visa Class A | PayPal Holdings vs. Mastercard | PayPal Holdings vs. Capital One Financial |
Real Heart vs. Media and Games | Real Heart vs. GiG Software PLC | Real Heart vs. 24SevenOffice Scandinavia AB | Real Heart vs. Qleanair Holding AB |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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