Correlation Between ProShares Big and ProShares

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

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

Diversification Opportunities for ProShares Big and ProShares

0.86

Correlation Coefficient

ProShares Big  ProShares

Very poor diversification

The 3 months correlation between ProShares and ProShares is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Big Data and ProShares SP Kensho in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares SP Kensho and ProShares Big 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 Big Data are associated (or correlated) with ProShares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares SP Kensho has no effect on the direction of ProShares Big i.e., ProShares Big and ProShares go up and down completely randomly.

Pair Corralation between ProShares Big and ProShares

Considering the 90-day investment horizon ProShares Big is expected to generate 2.27 times less return on investment than ProShares. But when comparing it to its historical volatility, ProShares Big Data is 2.01 times less risky than ProShares. It trades about 0.21 of its potential returns per unit of risk. ProShares SP Kensho is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest  1,700  in ProShares SP Kensho on April 24, 2025 and sell it today you would earn a total of  674.00  from holding ProShares SP Kensho or generate 39.65% return on investment over 90 days.

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

ProShares Big Data  vs.  ProShares SP Kensho

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.

ProShares SP Kensho

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in ProShares SP Kensho are ranked lower than 19 (%) of all global equities and portfolios over the last 90 days. In spite of fairly uncertain technical and fundamental indicators, ProShares showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with ProShares Big and ProShares

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

The idea behind ProShares Big Data and ProShares SP Kensho 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.