Correlation Between DZS and Airgain

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

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

Diversification Opportunities for DZS and Airgain

0.0

Correlation Coefficient

DZS  Airgain

Pay attention - limited upside

The 3 months correlation between DZS and Airgain is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding DZS Inc and Airgain in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Airgain and DZS 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 DZS Inc are associated (or correlated) with Airgain. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Airgain has no effect on the direction of DZS i.e., DZS and Airgain go up and down completely randomly.

Pair Corralation between DZS and Airgain

If you would invest  406.00  in Airgain on May 7, 2025 and sell it today you would earn a total of  37.00  from holding Airgain or generate 9.11% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

DZS Inc  vs.  Airgain

DZS Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days DZS Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, DZS is not utilizing all of its potentials. The recent stock price confusion, may contribute to short-horizon losses for the traders.

Airgain

Risk-Adjusted Performance

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in Airgain are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly inconsistent basic indicators, Airgain may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with DZS and Airgain

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

The idea behind DZS Inc and Airgain 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.