Correlation Between DZS and ADTRAN

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

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

Diversification Opportunities for DZS and ADTRAN

-0.74

Correlation Coefficient

DZS  ADTRAN

Pay attention - limited upside

The 3 months correlation between DZS and ADTRAN is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding DZS Inc and ADTRAN Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ADTRAN Inc 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 ADTRAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ADTRAN Inc has no effect on the direction of DZS i.e., DZS and ADTRAN go up and down completely randomly.

Pair Corralation between DZS and ADTRAN

If you would invest  539.00  in ADTRAN Inc on September 3, 2024 and sell it today you would earn a total of  311.00  from holding ADTRAN Inc or generate 57.7% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	1.56%
Values	Daily Returns

DZS Inc  vs.  ADTRAN Inc

DZS Inc

Risk-Adjusted Performance

0 of 100

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 latest stock price confusion, may contribute to short-horizon losses for the traders.

ADTRAN Inc

Risk-Adjusted Performance

17 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ADTRAN Inc are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of very weak basic indicators, ADTRAN displayed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with DZS and ADTRAN

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

The idea behind DZS Inc and ADTRAN 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.

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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.