Correlation Between Apple and ServiceNow

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

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

Diversification Opportunities for Apple and ServiceNow

0.08

Correlation Coefficient

Apple  ServiceNow

Significant diversification

The 3 months correlation between Apple and ServiceNow is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and ServiceNow in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ServiceNow and Apple 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 Apple Inc are associated (or correlated) with ServiceNow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ServiceNow has no effect on the direction of Apple i.e., Apple and ServiceNow go up and down completely randomly.

Pair Corralation between Apple and ServiceNow

Assuming the 90 days trading horizon Apple Inc is expected to generate 0.71 times more return on investment than ServiceNow. However, Apple Inc is 1.41 times less risky than ServiceNow. It trades about 0.02 of its potential returns per unit of risk. ServiceNow is currently generating about -0.15 per unit of risk. If you would invest  22,975  in Apple Inc on December 4, 2024 and sell it today you would earn a total of  165.00  from holding Apple Inc or generate 0.72% return on investment over 90 days.

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

Apple Inc  vs.  ServiceNow

Apple Inc

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Apple Inc are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable fundamental indicators, Apple is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

ServiceNow

Risk-Adjusted Performance

Very Weak

Over the last 90 days ServiceNow has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

Pair Trading with Apple and ServiceNow

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

The idea behind Apple Inc and ServiceNow 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.