Correlation Between BetaPro SP and Invesco FTSE
Can any of the company-specific risk be diversified away by investing in both BetaPro SP and Invesco FTSE 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 BetaPro SP and Invesco FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BetaPro SP 500 and Invesco FTSE RAFI, you can compare the effects of market volatilities on BetaPro SP and Invesco FTSE 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 BetaPro SP with a short position of Invesco FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of BetaPro SP and Invesco FTSE.
Diversification Opportunities for BetaPro SP and Invesco FTSE
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between BetaPro and Invesco is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding BetaPro SP 500 and Invesco FTSE RAFI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco FTSE RAFI and BetaPro SP 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 BetaPro SP 500 are associated (or correlated) with Invesco FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco FTSE RAFI has no effect on the direction of BetaPro SP i.e., BetaPro SP and Invesco FTSE go up and down completely randomly.
Pair Corralation between BetaPro SP and Invesco FTSE
Assuming the 90 days trading horizon BetaPro SP 500 is expected to under-perform the Invesco FTSE. In addition to that, BetaPro SP is 1.9 times more volatile than Invesco FTSE RAFI. It trades about -0.04 of its total potential returns per unit of risk. Invesco FTSE RAFI is currently generating about 0.28 per unit of volatility. If you would invest 2,485 in Invesco FTSE RAFI on October 24, 2024 and sell it today you would earn a total of 61.00 from holding Invesco FTSE RAFI or generate 2.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BetaPro SP 500 vs. Invesco FTSE RAFI
Performance |
Timeline |
BetaPro SP 500 |
Invesco FTSE RAFI |
BetaPro SP and Invesco FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BetaPro SP and Invesco FTSE
The main advantage of trading using opposite BetaPro SP and Invesco FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BetaPro SP position performs unexpectedly, Invesco FTSE 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 Invesco FTSE will offset losses from the drop in Invesco FTSE's long position.BetaPro SP vs. BetaPro SPTSX 60 | BetaPro SP vs. BetaPro NASDAQ 100 2x | BetaPro SP vs. BetaPro SP 500 | BetaPro SP vs. BetaPro Gold Bullion |
Invesco FTSE vs. Invesco SP International | Invesco FTSE vs. Invesco FTSE RAFI | Invesco FTSE vs. Invesco ESG NASDAQ | Invesco FTSE vs. Invesco SP International |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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