Correlation Between PayPal Holdings and JPMIF Bond
Can any of the company-specific risk be diversified away by investing in both PayPal Holdings and JPMIF Bond 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 JPMIF Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PayPal Holdings and JPMIF Bond Fund, you can compare the effects of market volatilities on PayPal Holdings and JPMIF Bond 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 JPMIF Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of PayPal Holdings and JPMIF Bond.
Diversification Opportunities for PayPal Holdings and JPMIF Bond
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PayPal and JPMIF is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding PayPal Holdings and JPMIF Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMIF Bond Fund 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 JPMIF Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMIF Bond Fund has no effect on the direction of PayPal Holdings i.e., PayPal Holdings and JPMIF Bond go up and down completely randomly.
Pair Corralation between PayPal Holdings and JPMIF Bond
Given the investment horizon of 90 days PayPal Holdings is expected to generate 4.88 times more return on investment than JPMIF Bond. However, PayPal Holdings is 4.88 times more volatile than JPMIF Bond Fund. It trades about 0.15 of its potential returns per unit of risk. JPMIF Bond Fund is currently generating about 0.09 per unit of risk. If you would invest 5,909 in PayPal Holdings on October 4, 2024 and sell it today you would earn a total of 2,626 from holding PayPal Holdings or generate 44.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 97.62% |
Values | Daily Returns |
PayPal Holdings vs. JPMIF Bond Fund
Performance |
Timeline |
PayPal Holdings |
JPMIF Bond Fund |
PayPal Holdings and JPMIF Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PayPal Holdings and JPMIF Bond
The main advantage of trading using opposite PayPal Holdings and JPMIF Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PayPal Holdings position performs unexpectedly, JPMIF Bond 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 JPMIF Bond will offset losses from the drop in JPMIF Bond's long position.PayPal Holdings vs. SoFi Technologies | PayPal Holdings vs. Visa Class A | PayPal Holdings vs. Mastercard | PayPal Holdings vs. Capital One Financial |
JPMIF Bond vs. Groupama Entreprises N | JPMIF Bond vs. Renaissance Europe C | JPMIF Bond vs. SIVERS SEMICONDUCTORS AB | JPMIF Bond vs. The Bank of |
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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