Correlation Between Integral and Fluent
Can any of the company-specific risk be diversified away by investing in both Integral and Fluent 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 Fluent 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 Fluent Inc, you can compare the effects of market volatilities on Integral and Fluent 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 Fluent. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integral and Fluent.
Diversification Opportunities for Integral and Fluent
Good diversification
The 3 months correlation between Integral and Fluent is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Integral Ad Science and Fluent Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fluent Inc 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 Fluent. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fluent Inc has no effect on the direction of Integral i.e., Integral and Fluent go up and down completely randomly.
Pair Corralation between Integral and Fluent
Considering the 90-day investment horizon Integral Ad Science is expected to generate 0.59 times more return on investment than Fluent. However, Integral Ad Science is 1.69 times less risky than Fluent. It trades about 0.03 of its potential returns per unit of risk. Fluent Inc is currently generating about -0.01 per unit of risk. If you would invest 1,127 in Integral Ad Science on September 4, 2024 and sell it today you would earn a total of 27.00 from holding Integral Ad Science or generate 2.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Integral Ad Science vs. Fluent Inc
Performance |
Timeline |
Integral Ad Science |
Fluent Inc |
Integral and Fluent Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Integral and Fluent
The main advantage of trading using opposite Integral and Fluent positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integral position performs unexpectedly, Fluent 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 Fluent will offset losses from the drop in Fluent's long position.The idea behind Integral Ad Science and Fluent Inc 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.Fluent vs. Marchex | Fluent vs. Dolphin Entertainment | Fluent vs. Beyond Commerce | Fluent vs. MGO Global Common |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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