Correlation Between Commodities Strategy and Bny Mellon

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 Alcentra, 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

-0.33

Correlation Coefficient

Commodities Strategy  Bny Mellon

Very good diversification

The 3 months correlation between Commodities and Bny is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Commodities Strategy Fund and Bny Mellon Alcentra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Alcentra 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 Alcentra 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

If you would invest  2,894  in Commodities Strategy Fund on October 7, 2024 and sell it today you would earn a total of  137.00  from holding Commodities Strategy Fund or generate 4.73% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	5.0%
Values	Daily Returns

Commodities Strategy Fund  vs.  Bny Mellon Alcentra

Commodities Strategy

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Commodities Strategy Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong technical and fundamental 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 Alcentra

Risk-Adjusted Performance

0 of 100

Modest

Over the last 90 days Bny Mellon Alcentra has generated negative risk-adjusted returns adding no value to fund investors. Despite nearly stable fundamental indicators, Bny Mellon is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

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 Alcentra 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 Global Correlations module to find global opportunities by holding instruments from different markets.