Correlation Between ADTRAN and DZS

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

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

Diversification Opportunities for ADTRAN and DZS

0.0

Correlation Coefficient

ADTRAN  DZS

Pay attention - limited upside

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

Pair Corralation between ADTRAN and DZS

If you would invest  830.00  in ADTRAN Inc on November 30, 2024 and sell it today you would earn a total of  227.00  from holding ADTRAN Inc or generate 27.35% return on investment over 90 days.

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

ADTRAN Inc  vs.  DZS Inc

ADTRAN Inc

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in ADTRAN Inc are ranked lower than 9 (%) 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.

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

Pair Trading with ADTRAN and DZS

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

The idea behind ADTRAN Inc and DZS 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.