Correlation Between ProShares Big and ProShares

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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 On Demand ETF, 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

0.43
  Correlation Coefficient

Very weak diversification

The 3 months correlation between ProShares and ProShares is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Big Data and ProShares On Demand ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares On Demand 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 On Demand 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 Data is expected to under-perform the ProShares. In addition to that, ProShares Big is 1.44 times more volatile than ProShares On Demand ETF. It trades about -0.24 of its total potential returns per unit of risk. ProShares On Demand ETF is currently generating about 0.1 per unit of volatility. If you would invest  3,336  in ProShares On Demand ETF on December 4, 2024 and sell it today you would earn a total of  84.00  from holding ProShares On Demand ETF or generate 2.52% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy95.24%
ValuesDaily Returns

ProShares Big Data  vs.  ProShares On Demand ETF

 Performance 
       Timeline  
ProShares Big Data 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days ProShares Big Data has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Etf's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the exchange-traded fund private investors.
ProShares On Demand 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days ProShares On Demand ETF has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, ProShares is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

ProShares Big and ProShares Volatility Contrast

   Predicted Return Density   
       Returns  

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 On Demand ETF 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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