Correlation Between Financial Industries and Bny Mellon

Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and Bny Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Financial Industries Fund and Bny Mellon Sustainable, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of Bny Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and Bny Mellon.

Diversification Opportunities for Financial Industries and Bny Mellon

0.0

Correlation Coefficient

Financial Industries  Bny Mellon

Pay attention - limited upside

The 3 months correlation between Financial and Bny is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and Bny Mellon Sustainable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Sustainable and Financial Industries 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 Financial Industries 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 Sustainable has no effect on the direction of Financial Industries i.e., Financial Industries and Bny Mellon go up and down completely randomly.

Pair Corralation between Financial Industries and Bny Mellon

If you would invest  1,479  in Financial Industries Fund on October 9, 2024 and sell it today you would earn a total of  339.00  from holding Financial Industries Fund or generate 22.92% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Financial Industries Fund  vs.  Bny Mellon Sustainable

Financial Industries

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Financial Industries Fund has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Financial Industries is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Bny Mellon Sustainable

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Financial Industries and Bny Mellon

The main advantage of trading using opposite Financial Industries and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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 Financial Industries Fund and Bny Mellon Sustainable 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.