Correlation Between Integral and Network 1

Can any of the company-specific risk be diversified away by investing in both Integral and Network 1 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 Integral and Network 1 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Integral Ad Science and Network 1 Technologies, you can compare the effects of market volatilities on Integral and Network 1 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 Integral with a short position of Network 1. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integral and Network 1.

Diversification Opportunities for Integral and Network 1

0.38

Correlation Coefficient

Integral  Network 1

Weak diversification

The 3 months correlation between Integral and Network is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Integral Ad Science and Network 1 Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Network 1 Technologies and Integral 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 Integral Ad Science are associated (or correlated) with Network 1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Network 1 Technologies has no effect on the direction of Integral i.e., Integral and Network 1 go up and down completely randomly.

Pair Corralation between Integral and Network 1

Considering the 90-day investment horizon Integral Ad Science is expected to generate 1.26 times more return on investment than Network 1. However, Integral is 1.26 times more volatile than Network 1 Technologies. It trades about 0.01 of its potential returns per unit of risk. Network 1 Technologies is currently generating about 0.0 per unit of risk. If you would invest  1,136  in Integral Ad Science on July 23, 2025 and sell it today you would lose (115.00) from holding Integral Ad Science or give up 10.12% of portfolio value over 90 days.

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

Integral Ad Science  vs.  Network 1 Technologies

Integral Ad Science

Risk-Adjusted Performance

Fair

Compared to the overall equity markets, risk-adjusted returns on investments in Integral Ad Science are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively unsteady basic indicators, Integral unveiled solid returns over the last few months and may actually be approaching a breakup point.

Network 1 Technologies

Risk-Adjusted Performance

Soft

Compared to the overall equity markets, risk-adjusted returns on investments in Network 1 Technologies are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Even with relatively uncertain forward indicators, Network 1 reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Integral and Network 1

The main advantage of trading using opposite Integral and Network 1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integral position performs unexpectedly, Network 1 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 Network 1 will offset losses from the drop in Network 1's long position.

The idea behind Integral Ad Science and Network 1 Technologies 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.

Check out your portfolio center.

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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.