Correlation Between AppTech Payments and Oracle

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

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

Diversification Opportunities for AppTech Payments and Oracle

-0.76

Correlation Coefficient

AppTech Payments  Oracle

Pay attention - limited upside

The 3 months correlation between AppTech and Oracle is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding AppTech Payments Corp and Oracle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oracle and AppTech Payments 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 AppTech Payments Corp are associated (or correlated) with Oracle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oracle has no effect on the direction of AppTech Payments i.e., AppTech Payments and Oracle go up and down completely randomly.

Pair Corralation between AppTech Payments and Oracle

Assuming the 90 days horizon AppTech Payments Corp is expected to under-perform the Oracle. In addition to that, AppTech Payments is 5.65 times more volatile than Oracle. It trades about -0.11 of its total potential returns per unit of risk. Oracle is currently generating about 0.36 per unit of volatility. If you would invest  13,984  in Oracle on April 27, 2025 and sell it today you would earn a total of  10,528  from holding Oracle or generate 75.29% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	26.98%
Values	Daily Returns

AppTech Payments Corp  vs.  Oracle

AppTech Payments Corp

Risk-Adjusted Performance

Very Weak

Over the last 90 days AppTech Payments Corp has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain fairly stable which may send shares a bit higher in August 2025. The latest fuss may also be a sign of long-term up-swing for the venture sophisticated investors.

Oracle

Risk-Adjusted Performance

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 28 (%) of all global equities and portfolios over the last 90 days. Despite quite unsteady fundamental indicators, Oracle disclosed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with AppTech Payments and Oracle

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

The idea behind AppTech Payments Corp and Oracle 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.