Correlation Between Alliancebernstein and Dreyfus Research

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Alliancebernstein and Dreyfus Research 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 Alliancebernstein and Dreyfus Research into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliancebernstein Global Highome and Dreyfus Research Growth, you can compare the effects of market volatilities on Alliancebernstein and Dreyfus Research 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 Alliancebernstein with a short position of Dreyfus Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliancebernstein and Dreyfus Research.

Diversification Opportunities for Alliancebernstein and Dreyfus Research

0.56
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Alliancebernstein and Dreyfus is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Alliancebernstein Global Higho and Dreyfus Research Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Research Growth and Alliancebernstein 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 Alliancebernstein Global Highome are associated (or correlated) with Dreyfus Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Research Growth has no effect on the direction of Alliancebernstein i.e., Alliancebernstein and Dreyfus Research go up and down completely randomly.

Pair Corralation between Alliancebernstein and Dreyfus Research

Assuming the 90 days horizon Alliancebernstein is expected to generate 5.97 times less return on investment than Dreyfus Research. But when comparing it to its historical volatility, Alliancebernstein Global Highome is 5.77 times less risky than Dreyfus Research. It trades about 0.11 of its potential returns per unit of risk. Dreyfus Research Growth is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest  2,095  in Dreyfus Research Growth on October 25, 2024 and sell it today you would earn a total of  53.00  from holding Dreyfus Research Growth or generate 2.53% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Alliancebernstein Global Higho  vs.  Dreyfus Research Growth

 Performance 
       Timeline  
Alliancebernstein 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in Alliancebernstein Global Highome are ranked lower than 1 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong technical and fundamental indicators, Alliancebernstein is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Dreyfus Research Growth 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Dreyfus Research Growth are ranked lower than 7 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak forward indicators, Dreyfus Research may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Alliancebernstein and Dreyfus Research Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Alliancebernstein and Dreyfus Research

The main advantage of trading using opposite Alliancebernstein and Dreyfus Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliancebernstein position performs unexpectedly, Dreyfus Research 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 Dreyfus Research will offset losses from the drop in Dreyfus Research's long position.
The idea behind Alliancebernstein Global Highome and Dreyfus Research Growth 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

Other Complementary Tools

Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
Global Correlations
Find global opportunities by holding instruments from different markets
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Equity Analysis
Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets