Correlation Between Flex and Extreme Networks

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

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

Diversification Opportunities for Flex and Extreme Networks

0.59

Correlation Coefficient

Flex  Extreme Networks

Very weak diversification

The 3 months correlation between Flex and Extreme is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Flex and Extreme Networks in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Extreme Networks and Flex 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 Flex are associated (or correlated) with Extreme Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Extreme Networks has no effect on the direction of Flex i.e., Flex and Extreme Networks go up and down completely randomly.

Pair Corralation between Flex and Extreme Networks

Given the investment horizon of 90 days Flex is expected to generate 1.4 times more return on investment than Extreme Networks. However, Flex is 1.4 times more volatile than Extreme Networks. It trades about -0.05 of its potential returns per unit of risk. Extreme Networks is currently generating about -0.1 per unit of risk. If you would invest  3,863  in Flex on December 28, 2024 and sell it today you would lose (417.00) from holding Flex or give up 10.79% of portfolio value over 90 days.

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

Flex  vs.  Extreme Networks

Flex

Risk-Adjusted Performance

Very Weak

Over the last 90 days Flex has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's technical and fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Extreme Networks

Risk-Adjusted Performance

Very Weak

Over the last 90 days Extreme Networks has generated negative risk-adjusted returns adding no value to investors with long positions. Even with unfluctuating performance in the last few months, the Stock's basic indicators remain relatively invariable which may send shares a bit higher in April 2025. The latest agitation may also be a sign of long-running up-swing for the enterprise retail investors.

Pair Trading with Flex and Extreme Networks

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

The idea behind Flex and Extreme Networks 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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.