Correlation Between Citigroup and ProShares Big

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

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

Diversification Opportunities for Citigroup and ProShares Big

0.82

Correlation Coefficient

Citigroup  ProShares Big

Very poor diversification

The 3 months correlation between Citigroup and ProShares is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup 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 Citigroup 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 Citigroup 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 Citigroup i.e., Citigroup and ProShares Big go up and down completely randomly.

Pair Corralation between Citigroup and ProShares Big

Taking into account the 90-day investment horizon Citigroup is expected to generate 1.18 times more return on investment than ProShares Big. However, Citigroup is 1.18 times more volatile than ProShares Big Data. It trades about 0.31 of its potential returns per unit of risk. ProShares Big Data is currently generating about 0.11 per unit of risk. If you would invest  6,947  in Citigroup on May 6, 2025 and sell it today you would earn a total of  2,236  from holding Citigroup or generate 32.19% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Citigroup  vs.  ProShares Big Data

Citigroup

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Citigroup are ranked lower than 24 (%) of all global equities and portfolios over the last 90 days. In spite of rather uncertain fundamental indicators, Citigroup exhibited solid returns over the last few months and may actually be approaching a breakup point.

ProShares Big Data

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, ProShares Big may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with Citigroup and ProShares Big

The main advantage of trading using opposite Citigroup and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup 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 Citigroup 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 Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.