Correlation Between Oracle and Block

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

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

Diversification Opportunities for Oracle and Block

0.67

Correlation Coefficient

Oracle  Block

Poor diversification

The 3 months correlation between Oracle and Block is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and Block Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Block Inc 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 Block. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Block Inc has no effect on the direction of Oracle i.e., Oracle and Block go up and down completely randomly.

Pair Corralation between Oracle and Block

Given the investment horizon of 90 days Oracle is expected to generate 0.37 times more return on investment than Block. However, Oracle is 2.68 times less risky than Block. It trades about -0.29 of its potential returns per unit of risk. Block Inc is currently generating about -0.22 per unit of risk. If you would invest  12,394  in Oracle on February 2, 2024 and sell it today you would lose (931.00) from holding Oracle or give up 7.51% of portfolio value over 90 days.

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

Oracle  vs.  Block Inc

Oracle

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Oracle has generated negative risk-adjusted returns adding no value to investors with long positions. Despite quite persistent fundamental indicators, Oracle is not utilizing all of its potentials. The latest stock price mess, may contribute to short-term losses for the institutional investors.

Block Inc

Risk-Adjusted Performance

0 of 100

Insignificant

Over the last 90 days Block Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, Block is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Oracle and Block

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

The idea behind Oracle and Block Inc 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.