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 High, 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
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Salesforce and BNY is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce 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 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 High 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 7.59 times more return on investment than BNY Mellon. However, Salesforce is 7.59 times more volatile than BNY Mellon High. It trades about 0.1 of its potential returns per unit of risk. BNY Mellon High is currently generating about 0.26 per unit of risk. If you would invest 33,066 in Salesforce on November 3, 2024 and sell it today you would earn a total of 1,104 from holding Salesforce or generate 3.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Salesforce vs. BNY Mellon High
Performance |
| Timeline |
| Salesforce |
| BNY Mellon High |
Salesforce and BNY Mellon Volatility Contrast
Predicted Return Density |
| Returns |
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.| Salesforce vs. Zoom Video Communications | Salesforce vs. C3 Ai Inc | Salesforce vs. Shopify | Salesforce vs. Workday |
| BNY Mellon vs. BNY Mellon International | BNY Mellon vs. BNY Mellon ETF | BNY Mellon vs. BNY Mellon Mid | BNY Mellon vs. BNY Mellon Large |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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