Correlation Between New World and Segall Bryant
Can any of the company-specific risk be diversified away by investing in both New World and Segall Bryant 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 New World and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New World Fund and Segall Bryant Hamill, you can compare the effects of market volatilities on New World and Segall Bryant 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 New World with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of New World and Segall Bryant.
Diversification Opportunities for New World and Segall Bryant
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between New and Segall is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding New World Fund and Segall Bryant Hamill in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamill and New World 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 New World Fund are associated (or correlated) with Segall Bryant. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Segall Bryant Hamill has no effect on the direction of New World i.e., New World and Segall Bryant go up and down completely randomly.
Pair Corralation between New World and Segall Bryant
Assuming the 90 days horizon New World is expected to generate 1.48 times less return on investment than Segall Bryant. But when comparing it to its historical volatility, New World Fund is 1.17 times less risky than Segall Bryant. It trades about 0.06 of its potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 703.00 in Segall Bryant Hamill on August 30, 2024 and sell it today you would earn a total of 253.00 from holding Segall Bryant Hamill or generate 35.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
New World Fund vs. Segall Bryant Hamill
Performance |
| Timeline |
| New World Fund |
| Segall Bryant Hamill |
New World and Segall Bryant Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with New World and Segall Bryant
The main advantage of trading using opposite New World and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New World position performs unexpectedly, Segall Bryant 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 Segall Bryant will offset losses from the drop in Segall Bryant's long position.| New World vs. Smallcap World Fund | New World vs. Investment Of America | New World vs. Europacific Growth Fund | New World vs. Capital World Growth |
| Segall Bryant vs. Vanguard Emerging Markets | Segall Bryant vs. Vanguard Emerging Markets | Segall Bryant vs. HUMANA INC | Segall Bryant vs. Aquagold International |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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