Correlation Between FT Cboe and Saba Closed
Can any of the company-specific risk be diversified away by investing in both FT Cboe and Saba Closed 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 FT Cboe and Saba Closed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and Saba Closed End Funds, you can compare the effects of market volatilities on FT Cboe and Saba Closed 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 FT Cboe with a short position of Saba Closed. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and Saba Closed.
Diversification Opportunities for FT Cboe and Saba Closed
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DNOV and Saba is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and Saba Closed End Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saba Closed End and FT Cboe 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 FT Cboe Vest are associated (or correlated) with Saba Closed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saba Closed End has no effect on the direction of FT Cboe i.e., FT Cboe and Saba Closed go up and down completely randomly.
Pair Corralation between FT Cboe and Saba Closed
Given the investment horizon of 90 days FT Cboe Vest is expected to generate 0.78 times more return on investment than Saba Closed. However, FT Cboe Vest is 1.29 times less risky than Saba Closed. It trades about -0.08 of its potential returns per unit of risk. Saba Closed End Funds is currently generating about -0.1 per unit of risk. If you would invest 4,354 in FT Cboe Vest on October 7, 2024 and sell it today you would lose (37.00) from holding FT Cboe Vest or give up 0.85% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FT Cboe Vest vs. Saba Closed End Funds
Performance |
Timeline |
FT Cboe Vest |
Saba Closed End |
FT Cboe and Saba Closed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FT Cboe and Saba Closed
The main advantage of trading using opposite FT Cboe and Saba Closed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, Saba Closed 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 Saba Closed will offset losses from the drop in Saba Closed's long position.The idea behind FT Cboe Vest and Saba Closed End Funds pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Saba Closed vs. First Trust Income | Saba Closed vs. Invesco CEF Income | Saba Closed vs. GraniteShares HIPS High | Saba Closed vs. Amplify High Income |
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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