Correlation Between ProShares Big and OShares Quality

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Can any of the company-specific risk be diversified away by investing in both ProShares Big and OShares Quality 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 OShares Quality 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 OShares Quality Dividend, you can compare the effects of market volatilities on ProShares Big and OShares Quality 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 OShares Quality. Check out your portfolio center. Please also check ongoing floating volatility patterns of ProShares Big and OShares Quality.

Diversification Opportunities for ProShares Big and OShares Quality

0.66
  Correlation Coefficient

Poor diversification

The 3 months correlation between ProShares and OShares is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Big Data and OShares Quality Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OShares Quality Dividend 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 OShares Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OShares Quality Dividend has no effect on the direction of ProShares Big i.e., ProShares Big and OShares Quality go up and down completely randomly.

Pair Corralation between ProShares Big and OShares Quality

Considering the 90-day investment horizon ProShares Big Data is expected to generate 2.68 times more return on investment than OShares Quality. However, ProShares Big is 2.68 times more volatile than OShares Quality Dividend. It trades about 0.26 of its potential returns per unit of risk. OShares Quality Dividend is currently generating about 0.03 per unit of risk. If you would invest  3,550  in ProShares Big Data on September 26, 2024 and sell it today you would earn a total of  1,024  from holding ProShares Big Data or generate 28.85% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.44%
ValuesDaily Returns

ProShares Big Data  vs.  OShares Quality Dividend

 Performance 
       Timeline  
ProShares Big Data 

Risk-Adjusted Performance

20 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 20 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively conflicting basic indicators, ProShares Big unveiled solid returns over the last few months and may actually be approaching a breakup point.
OShares Quality Dividend 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Insignificant
Compared to the overall equity markets, risk-adjusted returns on investments in OShares Quality Dividend are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite somewhat strong basic indicators, OShares Quality is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

ProShares Big and OShares Quality Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ProShares Big and OShares Quality

The main advantage of trading using opposite ProShares Big and OShares Quality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Big position performs unexpectedly, OShares Quality 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 OShares Quality will offset losses from the drop in OShares Quality's long position.
The idea behind ProShares Big Data and OShares Quality Dividend 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 Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.

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