Correlation Between Amazon CDR and Data Communications

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

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

Diversification Opportunities for Amazon CDR and Data Communications

-0.14

Correlation Coefficient

Amazon CDR  Data Communications

Good diversification

The 3 months correlation between Amazon and Data is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Amazon CDR and Data Communications Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Data Communications and Amazon CDR 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 Amazon CDR are associated (or correlated) with Data Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Data Communications has no effect on the direction of Amazon CDR i.e., Amazon CDR and Data Communications go up and down completely randomly.

Pair Corralation between Amazon CDR and Data Communications

Assuming the 90 days trading horizon Amazon CDR is expected to generate 8.95 times less return on investment than Data Communications. But when comparing it to its historical volatility, Amazon CDR is 2.14 times less risky than Data Communications. It trades about 0.01 of its potential returns per unit of risk. Data Communications Management is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  196.00  in Data Communications Management on December 2, 2024 and sell it today you would earn a total of  14.00  from holding Data Communications Management or generate 7.14% return on investment over 90 days.

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

Amazon CDR  vs.  Data Communications Management

Amazon CDR

Risk-Adjusted Performance

Very Weak

Over the last 90 days Amazon CDR has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, Amazon CDR is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

Data Communications

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Data Communications Management are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating primary indicators, Data Communications may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Amazon CDR and Data Communications

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

The idea behind Amazon CDR and Data Communications Management 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.