Correlation Between Saba Capital and First Trust
Can any of the company-specific risk be diversified away by investing in both Saba Capital and First Trust 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 Saba Capital and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saba Capital Income and First Trust Exchange Traded, you can compare the effects of market volatilities on Saba Capital and First Trust 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 Saba Capital with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saba Capital and First Trust.
Diversification Opportunities for Saba Capital and First Trust
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Saba and First is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Saba Capital Income and First Trust Exchange Traded in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Exchange and Saba Capital 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 Saba Capital Income are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Exchange has no effect on the direction of Saba Capital i.e., Saba Capital and First Trust go up and down completely randomly.
Pair Corralation between Saba Capital and First Trust
Given the investment horizon of 90 days Saba Capital Income is expected to generate 10.65 times more return on investment than First Trust. However, Saba Capital is 10.65 times more volatile than First Trust Exchange Traded. It trades about 0.13 of its potential returns per unit of risk. First Trust Exchange Traded is currently generating about 0.32 per unit of risk. If you would invest 864.00 in Saba Capital Income on September 22, 2024 and sell it today you would earn a total of 25.00 from holding Saba Capital Income or generate 2.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Saba Capital Income vs. First Trust Exchange Traded
Performance |
Timeline |
Saba Capital Income |
First Trust Exchange |
Saba Capital and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saba Capital and First Trust
The main advantage of trading using opposite Saba Capital and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saba Capital position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.Saba Capital vs. Vanguard Total Stock | Saba Capital vs. SPDR SP 500 | Saba Capital vs. iShares Core SP | Saba Capital vs. Vanguard Total Bond |
First Trust vs. FT Cboe Vest | First Trust vs. FT Cboe Vest | First Trust vs. First Trust Exchange Traded | First Trust vs. FT Cboe Vest |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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