Correlation Between Pax High and Hartford Emerging
Can any of the company-specific risk be diversified away by investing in both Pax High and Hartford Emerging 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 Hartford Emerging 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 The Hartford Emerging, you can compare the effects of market volatilities on Pax High and Hartford Emerging 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 Hartford Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pax High and Hartford Emerging.
Diversification Opportunities for Pax High and Hartford Emerging
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Pax and Hartford is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Pax High Yield and The Hartford Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford Emerging 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 Hartford Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Emerging has no effect on the direction of Pax High i.e., Pax High and Hartford Emerging go up and down completely randomly.
Pair Corralation between Pax High and Hartford Emerging
Assuming the 90 days horizon Pax High Yield is expected to generate 0.48 times more return on investment than Hartford Emerging. However, Pax High Yield is 2.08 times less risky than Hartford Emerging. It trades about -0.18 of its potential returns per unit of risk. The Hartford Emerging is currently generating about -0.21 per unit of risk. If you would invest 609.00 in Pax High Yield on September 23, 2024 and sell it today you would lose (4.00) from holding Pax High Yield or give up 0.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pax High Yield vs. The Hartford Emerging
Performance |
Timeline |
Pax High Yield |
Hartford Emerging |
Pax High and Hartford Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pax High and Hartford Emerging
The main advantage of trading using opposite Pax High and Hartford Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pax High position performs unexpectedly, Hartford Emerging 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 Hartford Emerging will offset losses from the drop in Hartford Emerging's long position.Pax High vs. Pax E Bond | Pax High vs. Pax Global Environmental | Pax High vs. Pax Esg Beta | Pax High vs. Pax Global Opportunities |
Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth | Hartford Emerging vs. The Hartford Growth |
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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