Correlation Between FAM and BNY Mellon

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

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

Diversification Opportunities for FAM and BNY Mellon

0.6

Correlation Coefficient

FAM  BNY Mellon

Poor diversification

The 3 months correlation between FAM and BNY is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding FAM and BNY Mellon High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNY Mellon High and FAM 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 FAM 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 High has no effect on the direction of FAM i.e., FAM and BNY Mellon go up and down completely randomly.

Pair Corralation between FAM and BNY Mellon

If you would invest  255.00  in BNY Mellon High on August 31, 2024 and sell it today you would earn a total of  10.00  from holding BNY Mellon High or generate 3.92% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	4.35%
Values	Daily Returns

FAM  vs.  BNY Mellon High

FAM

Risk-Adjusted Performance

0 of 100

Solid

Over the last 90 days FAM has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very uncertain basic indicators, FAM displayed solid returns over the last few months and may actually be approaching a breakup point.

BNY Mellon High

Risk-Adjusted Performance

7 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in BNY Mellon High are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable technical indicators, BNY Mellon is not utilizing all of its potentials. The latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with FAM and BNY Mellon

The main advantage of trading using opposite FAM and BNY Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FAM 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 FAM and BNY Mellon High 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.