Correlation Between Salesforce and ProShares Big

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

By analyzing existing cross correlation between Salesforce and ProShares Big Data, you can compare the effects of market volatilities on Salesforce and ProShares Big 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 Big. Check out your portfolio center. Please also check ongoing floating volatility patterns of Salesforce and ProShares Big.

Diversification Opportunities for Salesforce and ProShares Big

-0.05

Correlation Coefficient

Salesforce  ProShares Big

Good diversification

The 3 months correlation between Salesforce and ProShares is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Salesforce and ProShares Big Data in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Big Data 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 Big. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Big Data has no effect on the direction of Salesforce i.e., Salesforce and ProShares Big go up and down completely randomly.

Pair Corralation between Salesforce and ProShares Big

Considering the 90-day investment horizon Salesforce is expected to generate 10.22 times less return on investment than ProShares Big. In addition to that, Salesforce is 1.3 times more volatile than ProShares Big Data. It trades about 0.02 of its total potential returns per unit of risk. ProShares Big Data is currently generating about 0.21 per unit of volatility. If you would invest  4,091  in ProShares Big Data on April 30, 2025 and sell it today you would earn a total of  630.50  from holding ProShares Big Data or generate 15.41% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	98.39%
Values	Daily Returns

Salesforce  vs.  ProShares Big Data

Salesforce

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Salesforce are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of very healthy basic indicators, Salesforce is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

ProShares Big Data

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, ProShares Big unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Salesforce and ProShares Big

The main advantage of trading using opposite Salesforce and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Salesforce position performs unexpectedly, ProShares Big 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 Big will offset losses from the drop in ProShares Big's long position.

The idea behind Salesforce and ProShares Big Data 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.