Correlation Between Balanced Strategy and Simt High
Can any of the company-specific risk be diversified away by investing in both Balanced Strategy and Simt High 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 Balanced Strategy and Simt High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Strategy Fund and Simt High Yield, you can compare the effects of market volatilities on Balanced Strategy and Simt High 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 Balanced Strategy with a short position of Simt High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Strategy and Simt High.
Diversification Opportunities for Balanced Strategy and Simt High
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Balanced and Simt is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Strategy Fund and Simt High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt High Yield and Balanced Strategy 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 Balanced Strategy Fund are associated (or correlated) with Simt High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt High Yield has no effect on the direction of Balanced Strategy i.e., Balanced Strategy and Simt High go up and down completely randomly.
Pair Corralation between Balanced Strategy and Simt High
Assuming the 90 days horizon Balanced Strategy Fund is expected to generate 2.07 times more return on investment than Simt High. However, Balanced Strategy is 2.07 times more volatile than Simt High Yield. It trades about 0.18 of its potential returns per unit of risk. Simt High Yield is currently generating about 0.17 per unit of risk. If you would invest 1,073 in Balanced Strategy Fund on July 3, 2025 and sell it today you would earn a total of 45.00 from holding Balanced Strategy Fund or generate 4.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Strategy Fund vs. Simt High Yield
Performance |
Timeline |
Balanced Strategy |
Simt High Yield |
Balanced Strategy and Simt High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Strategy and Simt High
The main advantage of trading using opposite Balanced Strategy and Simt High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Strategy position performs unexpectedly, Simt High 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 Simt High will offset losses from the drop in Simt High's long position.Balanced Strategy vs. Nuveen Large Cap | Balanced Strategy vs. Profunds Large Cap Growth | Balanced Strategy vs. Vest Large Cap | Balanced Strategy vs. Qs Large Cap |
Simt High vs. Gabelli Global Financial | Simt High vs. Prudential Financial Services | Simt High vs. Vanguard Financials Index | Simt High vs. Putnam Global Financials |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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