Correlation Between Short Term and Balanced Strategy
Can any of the company-specific risk be diversified away by investing in both Short Term and Balanced Strategy 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 Short Term and Balanced Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Short Term Government Fund and Balanced Strategy Fund, you can compare the effects of market volatilities on Short Term and Balanced Strategy 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 Short Term with a short position of Balanced Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Short Term and Balanced Strategy.
Diversification Opportunities for Short Term and Balanced Strategy
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Short and Balanced is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Short Term Government Fund and Balanced Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Balanced Strategy and Short Term 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 Short Term Government Fund are associated (or correlated) with Balanced Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Balanced Strategy has no effect on the direction of Short Term i.e., Short Term and Balanced Strategy go up and down completely randomly.
Pair Corralation between Short Term and Balanced Strategy
Assuming the 90 days horizon Short Term is expected to generate 3.31 times less return on investment than Balanced Strategy. But when comparing it to its historical volatility, Short Term Government Fund is 5.25 times less risky than Balanced Strategy. It trades about 0.1 of its potential returns per unit of risk. Balanced Strategy Fund is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 1,049 in Balanced Strategy Fund on July 23, 2025 and sell it today you would earn a total of 127.00 from holding Balanced Strategy Fund or generate 12.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Short Term Government Fund vs. Balanced Strategy Fund
Performance |
Timeline |
Short Term Government |
Balanced Strategy |
Short Term and Balanced Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Short Term and Balanced Strategy
The main advantage of trading using opposite Short Term and Balanced Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Short Term position performs unexpectedly, Balanced Strategy 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 Balanced Strategy will offset losses from the drop in Balanced Strategy's long position.Short Term vs. The National Tax Free | Short Term vs. Blackrock Pa Muni | Short Term vs. Fidelity California Municipal | Short Term vs. Gurtin California Muni |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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