Correlation Between Bny Mellon and Bny Mellon

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

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

Diversification Opportunities for Bny Mellon and Bny Mellon

0.83

Correlation Coefficient

Bny Mellon  Bny Mellon

Very poor diversification

The 3 months correlation between Bny and Bny is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Bny Mellon Mid and Bny Mellon Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Small and Bny Mellon 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 Bny Mellon Mid 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 Small has no effect on the direction of Bny Mellon i.e., Bny Mellon and Bny Mellon go up and down completely randomly.

Pair Corralation between Bny Mellon and Bny Mellon

Assuming the 90 days horizon Bny Mellon Mid is expected to under-perform the Bny Mellon. In addition to that, Bny Mellon is 1.82 times more volatile than Bny Mellon Small. It trades about -0.28 of its total potential returns per unit of risk. Bny Mellon Small is currently generating about -0.31 per unit of volatility. If you would invest  2,171  in Bny Mellon Small on September 29, 2024 and sell it today you would lose (355.00) from holding Bny Mellon Small or give up 16.35% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	95.24%
Values	Daily Returns

Bny Mellon Mid  vs.  Bny Mellon Small

Bny Mellon Mid

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bny Mellon Mid has generated negative risk-adjusted returns adding no value to fund investors. In spite of weak performance in the last few months, the Fund's fundamental indicators remain fairly strong which may send shares a bit higher in January 2025. The current disturbance may also be a sign of long term up-swing for the fund investors.

Bny Mellon Small

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bny Mellon Small has generated negative risk-adjusted returns adding no value to fund investors. In spite of latest weak performance, the Fund's fundamental indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the fund investors.

Pair Trading with Bny Mellon and Bny Mellon

The main advantage of trading using opposite Bny Mellon and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bny Mellon 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 Bny Mellon Mid and Bny Mellon Small 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.