Correlation Between ProShares and ProShares Big

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

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

Diversification Opportunities for ProShares and ProShares Big

0.87

Correlation Coefficient

ProShares  ProShares Big

Very poor diversification

The 3 months correlation between ProShares and ProShares is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding ProShares SP Kensho 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 ProShares 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 ProShares SP Kensho 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 ProShares i.e., ProShares and ProShares Big go up and down completely randomly.

Pair Corralation between ProShares and ProShares Big

Given the investment horizon of 90 days ProShares SP Kensho is expected to generate 1.31 times more return on investment than ProShares Big. However, ProShares is 1.31 times more volatile than ProShares Big Data. It trades about 0.37 of its potential returns per unit of risk. ProShares Big Data is currently generating about 0.21 per unit of risk. If you would invest  3,504  in ProShares SP Kensho on April 24, 2025 and sell it today you would earn a total of  1,443  from holding ProShares SP Kensho or generate 41.19% return on investment over 90 days.

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

ProShares SP Kensho  vs.  ProShares Big Data

ProShares SP Kensho

Risk-Adjusted Performance

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in ProShares SP Kensho are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. In spite of fairly uncertain forward-looking signals, ProShares showed solid returns over the last few months and may actually be approaching a breakup point.

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 ProShares and ProShares Big

The main advantage of trading using opposite ProShares and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares 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 ProShares SP Kensho 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.

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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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.