Correlation Between Multisector Bond and Government Securities
Can any of the company-specific risk be diversified away by investing in both Multisector Bond and Government Securities 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 Multisector Bond and Government Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multisector Bond Sma and Government Securities Fund, you can compare the effects of market volatilities on Multisector Bond and Government Securities 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 Multisector Bond with a short position of Government Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multisector Bond and Government Securities.
Diversification Opportunities for Multisector Bond and Government Securities
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Multisector and Government is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Multisector Bond Sma and Government Securities Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Government Securities and Multisector Bond 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 Multisector Bond Sma are associated (or correlated) with Government Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Government Securities has no effect on the direction of Multisector Bond i.e., Multisector Bond and Government Securities go up and down completely randomly.
Pair Corralation between Multisector Bond and Government Securities
Assuming the 90 days horizon Multisector Bond Sma is expected to generate 0.92 times more return on investment than Government Securities. However, Multisector Bond Sma is 1.08 times less risky than Government Securities. It trades about 0.18 of its potential returns per unit of risk. Government Securities Fund is currently generating about 0.14 per unit of risk. If you would invest 1,365 in Multisector Bond Sma on September 12, 2024 and sell it today you would earn a total of 11.00 from holding Multisector Bond Sma or generate 0.81% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Multisector Bond Sma vs. Government Securities Fund
Performance |
| Timeline |
| Multisector Bond Sma |
| Government Securities |
Multisector Bond and Government Securities Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Multisector Bond and Government Securities
The main advantage of trading using opposite Multisector Bond and Government Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multisector Bond position performs unexpectedly, Government Securities 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 Government Securities will offset losses from the drop in Government Securities' long position.| Multisector Bond vs. SCOR PK | Multisector Bond vs. Morningstar Unconstrained Allocation | Multisector Bond vs. Thrivent High Yield | Multisector Bond vs. Via Renewables |
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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