Correlation Between Pacer BlueStar and Pacer Lunt
Can any of the company-specific risk be diversified away by investing in both Pacer BlueStar and Pacer Lunt 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 Pacer BlueStar and Pacer Lunt into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pacer BlueStar Engineering and Pacer Lunt Large, you can compare the effects of market volatilities on Pacer BlueStar and Pacer Lunt 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 Pacer BlueStar with a short position of Pacer Lunt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pacer BlueStar and Pacer Lunt.
Diversification Opportunities for Pacer BlueStar and Pacer Lunt
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pacer and Pacer is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Pacer BlueStar Engineering and Pacer Lunt Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pacer Lunt Large and Pacer BlueStar 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 Pacer BlueStar Engineering are associated (or correlated) with Pacer Lunt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pacer Lunt Large has no effect on the direction of Pacer BlueStar i.e., Pacer BlueStar and Pacer Lunt go up and down completely randomly.
Pair Corralation between Pacer BlueStar and Pacer Lunt
Given the investment horizon of 90 days Pacer BlueStar Engineering is expected to generate 1.32 times more return on investment than Pacer Lunt. However, Pacer BlueStar is 1.32 times more volatile than Pacer Lunt Large. It trades about -0.08 of its potential returns per unit of risk. Pacer Lunt Large is currently generating about -0.27 per unit of risk. If you would invest 2,261 in Pacer BlueStar Engineering on October 9, 2024 and sell it today you would lose (48.00) from holding Pacer BlueStar Engineering or give up 2.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pacer BlueStar Engineering vs. Pacer Lunt Large
Performance |
Timeline |
Pacer BlueStar Engin |
Pacer Lunt Large |
Pacer BlueStar and Pacer Lunt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pacer BlueStar and Pacer Lunt
The main advantage of trading using opposite Pacer BlueStar and Pacer Lunt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pacer BlueStar position performs unexpectedly, Pacer Lunt 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 Pacer Lunt will offset losses from the drop in Pacer Lunt's long position.Pacer BlueStar vs. Pacer Emerging Markets | Pacer BlueStar vs. Pacer Funds Trust | Pacer BlueStar vs. Pacer Funds Trust | Pacer BlueStar vs. Invesco BulletShares 2031 |
Pacer Lunt vs. Pacer Lunt Large | Pacer Lunt vs. Pacer Lunt MidCap | Pacer Lunt vs. Pacer Trendpilot Bond | Pacer Lunt vs. Pacer Small Cap |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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