Correlation Between Pax High and Pax Ellevate
Can any of the company-specific risk be diversified away by investing in both Pax High and Pax Ellevate 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 Pax High and Pax Ellevate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pax High Yield and Pax Ellevate Global, you can compare the effects of market volatilities on Pax High and Pax Ellevate 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 Pax High with a short position of Pax Ellevate. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pax High and Pax Ellevate.
Diversification Opportunities for Pax High and Pax Ellevate
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Pax and Pax is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Pax High Yield and Pax Ellevate Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax Ellevate Global and Pax High 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 Pax High Yield are associated (or correlated) with Pax Ellevate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax Ellevate Global has no effect on the direction of Pax High i.e., Pax High and Pax Ellevate go up and down completely randomly.
Pair Corralation between Pax High and Pax Ellevate
Assuming the 90 days horizon Pax High is expected to generate 5.43 times less return on investment than Pax Ellevate. But when comparing it to its historical volatility, Pax High Yield is 4.22 times less risky than Pax Ellevate. It trades about 0.12 of its potential returns per unit of risk. Pax Ellevate Global is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 3,377 in Pax Ellevate Global on September 12, 2024 and sell it today you would earn a total of 215.00 from holding Pax Ellevate Global or generate 6.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Pax High Yield vs. Pax Ellevate Global
Performance |
Timeline |
Pax High Yield |
Pax Ellevate Global |
Pax High and Pax Ellevate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pax High and Pax Ellevate
The main advantage of trading using opposite Pax High and Pax Ellevate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pax High position performs unexpectedly, Pax Ellevate 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 Pax Ellevate will offset losses from the drop in Pax Ellevate's long position.Pax High vs. Vanguard High Yield Corporate | Pax High vs. Vanguard High Yield Porate | Pax High vs. Blackrock Hi Yld | Pax High vs. Blackrock High Yield |
Pax Ellevate vs. Pax Global Environmental | Pax Ellevate vs. Pax Small Cap | Pax Ellevate vs. Pax Esg Beta | Pax Ellevate vs. Pax Balanced Fund |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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