Correlation Between Commodities Strategy and Bny Mellon

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

Diversification Opportunities for Commodities Strategy and Bny Mellon

0.73
  Correlation Coefficient

Poor diversification

The 3 months correlation between Commodities and Bny is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Bny Mellon Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Emerging and Commodities Strategy 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 Commodities Strategy Fund are associated (or correlated) with Bny Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bny Mellon Emerging has no effect on the direction of Commodities Strategy i.e., Commodities Strategy and Bny Mellon go up and down completely randomly.

Pair Corralation between Commodities Strategy and Bny Mellon

Assuming the 90 days horizon Commodities Strategy Fund is expected to generate 1.37 times more return on investment than Bny Mellon. However, Commodities Strategy is 1.37 times more volatile than Bny Mellon Emerging. It trades about 0.04 of its potential returns per unit of risk. Bny Mellon Emerging is currently generating about 0.01 per unit of risk. If you would invest  1,579  in Commodities Strategy Fund on September 3, 2024 and sell it today you would earn a total of  41.00  from holding Commodities Strategy Fund or generate 2.6% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Commodities Strategy Fund  vs.  Bny Mellon Emerging

 Performance 
       Timeline  
Commodities Strategy 

Risk-Adjusted Performance

3 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in Commodities Strategy Fund are ranked lower than 3 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong forward-looking indicators, Commodities Strategy is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Bny Mellon Emerging 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Bny Mellon Emerging has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental indicators, Bny Mellon is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Commodities Strategy and Bny Mellon Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Commodities Strategy and Bny Mellon

The main advantage of trading using opposite Commodities Strategy and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commodities Strategy position performs unexpectedly, Bny Mellon 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 Bny Mellon will offset losses from the drop in Bny Mellon's long position.
The idea behind Commodities Strategy Fund and Bny Mellon Emerging 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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.

Other Complementary Tools

Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Stock Screener
Find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook.
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals