Correlation Between Blackstone Gso and Saba Capital
Can any of the company-specific risk be diversified away by investing in both Blackstone Gso and Saba Capital 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 Blackstone Gso and Saba Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blackstone Gso Long and Saba Capital Income, you can compare the effects of market volatilities on Blackstone Gso and Saba Capital 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 Blackstone Gso with a short position of Saba Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blackstone Gso and Saba Capital.
Diversification Opportunities for Blackstone Gso and Saba Capital
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Blackstone and Saba is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Blackstone Gso Long and Saba Capital Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saba Capital Income and Blackstone Gso 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 Blackstone Gso Long are associated (or correlated) with Saba Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saba Capital Income has no effect on the direction of Blackstone Gso i.e., Blackstone Gso and Saba Capital go up and down completely randomly.
Pair Corralation between Blackstone Gso and Saba Capital
Considering the 90-day investment horizon Blackstone Gso Long is expected to under-perform the Saba Capital. But the fund apears to be less risky and, when comparing its historical volatility, Blackstone Gso Long is 1.09 times less risky than Saba Capital. The fund trades about -0.05 of its potential returns per unit of risk. The Saba Capital Income is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 737.00 in Saba Capital Income on December 28, 2024 and sell it today you would earn a total of 41.00 from holding Saba Capital Income or generate 5.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Blackstone Gso Long vs. Saba Capital Income
Performance |
Timeline |
Blackstone Gso Long |
Saba Capital Income |
Blackstone Gso and Saba Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Blackstone Gso and Saba Capital
The main advantage of trading using opposite Blackstone Gso and Saba Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blackstone Gso position performs unexpectedly, Saba Capital 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 Capital will offset losses from the drop in Saba Capital's long position.Blackstone Gso vs. First Trust Senior | Blackstone Gso vs. Eaton Vance Senior | Blackstone Gso vs. Blackrock International Growth | Blackstone Gso vs. BlackRock Municipal Income |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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