Correlation Between Integral and Simclar

Can any of the company-specific risk be diversified away by investing in both Integral and Simclar 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 Simclar 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 Simclar, you can compare the effects of market volatilities on Integral and Simclar 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 Simclar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integral and Simclar.

Diversification Opportunities for Integral and Simclar

-0.1

Correlation Coefficient

Integral  Simclar

Good diversification

The 3 months correlation between Integral and Simclar is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Integral Ad Science and Simclar in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simclar 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 Simclar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simclar has no effect on the direction of Integral i.e., Integral and Simclar go up and down completely randomly.

Pair Corralation between Integral and Simclar

Considering the 90-day investment horizon Integral is expected to generate 4.81 times less return on investment than Simclar. But when comparing it to its historical volatility, Integral Ad Science is 6.62 times less risky than Simclar. It trades about 0.09 of its potential returns per unit of risk. Simclar is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest  0.02  in Simclar on May 19, 2025 and sell it today you would earn a total of  0.00  from holding Simclar or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	79.37%
Values	Daily Returns

Integral Ad Science  vs.  Simclar

Integral Ad Science

Risk-Adjusted Performance

Mild

Compared to the overall equity markets, risk-adjusted returns on investments in Integral Ad Science are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, Integral unveiled solid returns over the last few months and may actually be approaching a breakup point.

Simclar

Risk-Adjusted Performance

Soft

Over the last 90 days Simclar has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather uncertain primary indicators, Simclar exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Integral and Simclar

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

The idea behind Integral Ad Science and Simclar 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.