Correlation Between Salesforce and ProShares Nasdaq
Can any of the company-specific risk be diversified away by investing in both Salesforce and ProShares Nasdaq 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 ProShares Nasdaq into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Salesforce and ProShares Nasdaq 100 High, you can compare the effects of market volatilities on Salesforce and ProShares Nasdaq 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 ProShares Nasdaq. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and ProShares Nasdaq.
Diversification Opportunities for Salesforce and ProShares Nasdaq
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Salesforce and ProShares is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and ProShares Nasdaq 100 High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Nasdaq 100 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 ProShares Nasdaq. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Nasdaq 100 has no effect on the direction of Salesforce i.e., Salesforce and ProShares Nasdaq go up and down completely randomly.
Pair Corralation between Salesforce and ProShares Nasdaq
Considering the 90-day investment horizon Salesforce is expected to under-perform the ProShares Nasdaq. In addition to that, Salesforce is 2.21 times more volatile than ProShares Nasdaq 100 High. It trades about -0.05 of its total potential returns per unit of risk. ProShares Nasdaq 100 High is currently generating about 0.12 per unit of volatility. If you would invest 4,132 in ProShares Nasdaq 100 High on July 20, 2025 and sell it today you would earn a total of 262.00 from holding ProShares Nasdaq 100 High or generate 6.34% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 98.46% |
| Values | Daily Returns |
Salesforce vs. ProShares Nasdaq 100 High
Performance |
| Timeline |
| Salesforce |
| ProShares Nasdaq 100 |
Salesforce and ProShares Nasdaq Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Salesforce and ProShares Nasdaq
The main advantage of trading using opposite Salesforce and ProShares Nasdaq positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, ProShares Nasdaq 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 ProShares Nasdaq will offset losses from the drop in ProShares Nasdaq's long position.| Salesforce vs. Uber Technologies | Salesforce vs. Applovin Corp | Salesforce vs. Shopify | Salesforce vs. Intuit Inc |
| ProShares Nasdaq vs. Return Stacked Stocks | ProShares Nasdaq vs. iShares Trust | ProShares Nasdaq vs. United States Commodity | ProShares Nasdaq vs. Amplify BlackSwan Growth |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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