Correlation Between Oracle and Fidelity New

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

By analyzing existing cross correlation between Oracle and Fidelity New Markets, you can compare the effects of market volatilities on Oracle and Fidelity New 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 Fidelity New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle and Fidelity New.

Diversification Opportunities for Oracle and Fidelity New

-0.02

Correlation Coefficient

Oracle  Fidelity New

Good diversification

The 3 months correlation between Oracle and Fidelity is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and Fidelity New Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity New Markets 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 Fidelity New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity New Markets has no effect on the direction of Oracle i.e., Oracle and Fidelity New go up and down completely randomly.

Pair Corralation between Oracle and Fidelity New

Given the investment horizon of 90 days Oracle is expected to generate 7.57 times more return on investment than Fidelity New. However, Oracle is 7.57 times more volatile than Fidelity New Markets. It trades about 0.2 of its potential returns per unit of risk. Fidelity New Markets is currently generating about 0.05 per unit of risk. If you would invest  14,043  in Oracle on September 4, 2024 and sell it today you would earn a total of  4,098  from holding Oracle or generate 29.18% return on investment over 90 days.

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

Oracle  vs.  Fidelity New Markets

Oracle

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite quite abnormal fundamental indicators, Oracle disclosed solid returns over the last few months and may actually be approaching a breakup point.

Fidelity New Markets

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Fidelity New Markets are ranked lower than 4 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong primary indicators, Fidelity New 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 Fidelity New

The main advantage of trading using opposite Oracle and Fidelity New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, Fidelity New 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 Fidelity New will offset losses from the drop in Fidelity New's long position.

The idea behind Oracle and Fidelity New Markets 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.