Correlation Between Oracle and Segall Bryant

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

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

Diversification Opportunities for Oracle and Segall Bryant

-0.45

Correlation Coefficient

Oracle  Segall Bryant

Very good diversification

The 3 months correlation between Oracle and Segall is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and Segall Bryant Hamll in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Segall Bryant Hamll and Oracle 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 Oracle 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 Hamll has no effect on the direction of Oracle i.e., Oracle and Segall Bryant go up and down completely randomly.

Pair Corralation between Oracle and Segall Bryant

Given the investment horizon of 90 days Oracle is expected to generate 2.2 times more return on investment than Segall Bryant. However, Oracle is 2.2 times more volatile than Segall Bryant Hamll. It trades about 0.1 of its potential returns per unit of risk. Segall Bryant Hamll is currently generating about -0.08 per unit of risk. If you would invest  16,102  in Oracle on September 12, 2024 and sell it today you would earn a total of  1,756  from holding Oracle or generate 10.91% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Very Weak
Accuracy	98.44%
Values	Daily Returns

Oracle  vs.  Segall Bryant Hamll

Oracle

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite quite abnormal fundamental indicators, Oracle may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Segall Bryant Hamll

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Segall Bryant Hamll has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Segall Bryant is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Oracle and Segall Bryant

The main advantage of trading using opposite Oracle and Segall Bryant positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle 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 Oracle and Segall Bryant Hamll 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.