Correlation Between Segall Bryant and Vanguard Small-cap
Can any of the company-specific risk be diversified away by investing in both Segall Bryant and Vanguard Small-cap 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 Segall Bryant and Vanguard Small-cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Segall Bryant Hamill and Vanguard Small Cap Index, you can compare the effects of market volatilities on Segall Bryant and Vanguard Small-cap 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 Segall Bryant with a short position of Vanguard Small-cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Segall Bryant and Vanguard Small-cap.
Diversification Opportunities for Segall Bryant and Vanguard Small-cap
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Segall and Vanguard is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Segall Bryant Hamill and Vanguard Small Cap Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Small Cap and Segall Bryant 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 Segall Bryant Hamill are associated (or correlated) with Vanguard Small-cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Small Cap has no effect on the direction of Segall Bryant i.e., Segall Bryant and Vanguard Small-cap go up and down completely randomly.
Pair Corralation between Segall Bryant and Vanguard Small-cap
Assuming the 90 days horizon Segall Bryant Hamill is expected to generate 1.21 times more return on investment than Vanguard Small-cap. However, Segall Bryant is 1.21 times more volatile than Vanguard Small Cap Index. It trades about 0.11 of its potential returns per unit of risk. Vanguard Small Cap Index is currently generating about 0.12 per unit of risk. If you would invest 1,417 in Segall Bryant Hamill on September 1, 2024 and sell it today you would earn a total of 271.00 from holding Segall Bryant Hamill or generate 19.12% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 99.21% |
| Values | Daily Returns |
Segall Bryant Hamill vs. Vanguard Small Cap Index
Performance |
| Timeline |
| Segall Bryant Hamill |
| Vanguard Small Cap |
Segall Bryant and Vanguard Small-cap Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Segall Bryant and Vanguard Small-cap
The main advantage of trading using opposite Segall Bryant and Vanguard Small-cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Segall Bryant position performs unexpectedly, Vanguard Small-cap 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 Vanguard Small-cap will offset losses from the drop in Vanguard Small-cap's long position.| Segall Bryant vs. The Gabelli Equity | Segall Bryant vs. Jpmorgan Equity Income | Segall Bryant vs. Ab Select Equity | Segall Bryant vs. Locorr Dynamic Equity |
| Vanguard Small-cap vs. Vanguard Mid Cap Index | Vanguard Small-cap vs. Vanguard 500 Index | Vanguard Small-cap vs. Vanguard Emerging Markets | Vanguard Small-cap vs. Vanguard Reit Index |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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