Correlation Between Applied Finance and Segall Bryant

Can any of the company-specific risk be diversified away by investing in both Applied Finance 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 Applied Finance and Segall Bryant into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Applied Finance Explorer and Segall Bryant Hamill, you can compare the effects of market volatilities on Applied Finance 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 Applied Finance with a short position of Segall Bryant. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Finance and Segall Bryant.

Diversification Opportunities for Applied Finance and Segall Bryant

0.84

Correlation Coefficient

Applied Finance  Segall Bryant

Very poor diversification

The 3 months correlation between Applied and Segall is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Applied Finance Explorer 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 Applied Finance 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 Applied Finance Explorer 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 Applied Finance i.e., Applied Finance and Segall Bryant go up and down completely randomly.

Pair Corralation between Applied Finance and Segall Bryant

Assuming the 90 days horizon Applied Finance is expected to generate 1.14 times less return on investment than Segall Bryant. In addition to that, Applied Finance is 1.48 times more volatile than Segall Bryant Hamill. It trades about 0.17 of its total potential returns per unit of risk. Segall Bryant Hamill is currently generating about 0.29 per unit of volatility. If you would invest  1,258  in Segall Bryant Hamill on May 22, 2025 and sell it today you would earn a total of  160.00  from holding Segall Bryant Hamill or generate 12.72% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Applied Finance Explorer  vs.  Segall Bryant Hamill

Applied Finance Explorer

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Applied Finance Explorer are ranked lower than 13 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Applied Finance may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Segall Bryant Hamill

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Segall Bryant Hamill are ranked lower than 22 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak forward indicators, Segall Bryant may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with Applied Finance and Segall Bryant

The main advantage of trading using opposite Applied Finance and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Finance 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.

The idea behind Applied Finance Explorer and Segall Bryant Hamill pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.