Correlation Between Integral and Stagwell
Can any of the company-specific risk be diversified away by investing in both Integral and Stagwell 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 Stagwell 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 Stagwell, you can compare the effects of market volatilities on Integral and Stagwell 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 Stagwell. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integral and Stagwell.
Diversification Opportunities for Integral and Stagwell
Significant diversification
The 3 months correlation between Integral and Stagwell is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Integral Ad Science and Stagwell in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stagwell 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 Stagwell. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stagwell has no effect on the direction of Integral i.e., Integral and Stagwell go up and down completely randomly.
Pair Corralation between Integral and Stagwell
Considering the 90-day investment horizon Integral is expected to generate 2.69 times less return on investment than Stagwell. In addition to that, Integral is 1.18 times more volatile than Stagwell. It trades about 0.02 of its total potential returns per unit of risk. Stagwell is currently generating about 0.05 per unit of volatility. If you would invest 705.00 in Stagwell on September 12, 2024 and sell it today you would earn a total of 45.00 from holding Stagwell or generate 6.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Integral Ad Science vs. Stagwell
Performance |
Timeline |
Integral Ad Science |
Stagwell |
Integral and Stagwell Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Integral and Stagwell
The main advantage of trading using opposite Integral and Stagwell positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integral position performs unexpectedly, Stagwell 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 Stagwell will offset losses from the drop in Stagwell's long position.The idea behind Integral Ad Science and Stagwell 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.Stagwell vs. Innovid Corp | Stagwell vs. Interpublic Group of | Stagwell vs. Cimpress NV | Stagwell vs. Criteo Sa |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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