Correlation Between Oppenheimer Senior and Dreyfus Floating

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

Diversification Opportunities for Oppenheimer Senior and Dreyfus Floating

0.85
  Correlation Coefficient

Very poor diversification

The 3 months correlation between Oppenheimer and Dreyfus is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Oppenheimer Senior Floating and Dreyfus Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Floating Rate and Oppenheimer Senior 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 Oppenheimer Senior Floating are associated (or correlated) with Dreyfus Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Floating Rate has no effect on the direction of Oppenheimer Senior i.e., Oppenheimer Senior and Dreyfus Floating go up and down completely randomly.

Pair Corralation between Oppenheimer Senior and Dreyfus Floating

Assuming the 90 days horizon Oppenheimer Senior Floating is expected to under-perform the Dreyfus Floating. But the mutual fund apears to be less risky and, when comparing its historical volatility, Oppenheimer Senior Floating is 1.92 times less risky than Dreyfus Floating. The mutual fund trades about -0.08 of its potential returns per unit of risk. The Dreyfus Floating Rate is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  1,108  in Dreyfus Floating Rate on September 4, 2024 and sell it today you would earn a total of  4.00  from holding Dreyfus Floating Rate or generate 0.36% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthStrong
Accuracy95.24%
ValuesDaily Returns

Oppenheimer Senior Floating  vs.  Dreyfus Floating Rate

 Performance 
       Timeline  
Oppenheimer Senior 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in Oppenheimer Senior Floating are ranked lower than 6 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward indicators, Oppenheimer Senior is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Dreyfus Floating Rate 

Risk-Adjusted Performance

22 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Dreyfus Floating Rate are ranked lower than 22 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Dreyfus Floating is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Oppenheimer Senior and Dreyfus Floating Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Oppenheimer Senior and Dreyfus Floating

The main advantage of trading using opposite Oppenheimer Senior and Dreyfus Floating positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oppenheimer Senior position performs unexpectedly, Dreyfus Floating 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 Floating will offset losses from the drop in Dreyfus Floating's long position.
The idea behind Oppenheimer Senior Floating and Dreyfus Floating Rate 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

Other Complementary Tools

Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Optimization
Compute new portfolio that will generate highest expected return given your specified tolerance for risk
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm