Correlation Between Salesforce and Bny Mellon

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

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

Diversification Opportunities for Salesforce and Bny Mellon

0.56

Correlation Coefficient

Salesforce  Bny Mellon

Very weak diversification

The 3 months correlation between Salesforce and Bny is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and Bny Mellon Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bny Mellon Asset and Salesforce 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 Salesforce 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 Asset has no effect on the direction of Salesforce i.e., Salesforce and Bny Mellon go up and down completely randomly.

Pair Corralation between Salesforce and Bny Mellon

Considering the 90-day investment horizon Salesforce is expected to generate 1.18 times more return on investment than Bny Mellon. However, Salesforce is 1.18 times more volatile than Bny Mellon Asset. It trades about -0.21 of its potential returns per unit of risk. Bny Mellon Asset is currently generating about -0.28 per unit of risk. If you would invest  35,117  in Salesforce on October 8, 2024 and sell it today you would lose (1,827) from holding Salesforce or give up 5.2% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Salesforce  vs.  Bny Mellon Asset

Salesforce

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Salesforce are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Salesforce displayed solid returns over the last few months and may actually be approaching a breakup point.

Bny Mellon Asset

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bny Mellon Asset has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong essential 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 Salesforce and Bny Mellon

The main advantage of trading using opposite Salesforce and Bny Mellon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce 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 Salesforce and Bny Mellon Asset 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.