Correlation Between ProShares Big and GraniteShares ETF

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

Diversification Opportunities for ProShares Big and GraniteShares ETF

0.64
  Correlation Coefficient

Poor diversification

The 3 months correlation between ProShares and GraniteShares is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding ProShares Big Data and GraniteShares ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares ETF Trust 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 GraniteShares ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares ETF Trust has no effect on the direction of ProShares Big i.e., ProShares Big and GraniteShares ETF go up and down completely randomly.

Pair Corralation between ProShares Big and GraniteShares ETF

Considering the 90-day investment horizon ProShares Big Data is expected to under-perform the GraniteShares ETF. But the etf apears to be less risky and, when comparing its historical volatility, ProShares Big Data is 1.17 times less risky than GraniteShares ETF. The etf trades about -0.14 of its potential returns per unit of risk. The GraniteShares ETF Trust is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest  3,196  in GraniteShares ETF Trust on October 4, 2024 and sell it today you would earn a total of  181.00  from holding GraniteShares ETF Trust or generate 5.66% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

ProShares Big Data  vs.  GraniteShares ETF Trust

 Performance 
       Timeline  
ProShares Big Data 

Risk-Adjusted Performance

17 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 17 (%) 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.
GraniteShares ETF Trust 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in GraniteShares ETF Trust are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. Despite somewhat conflicting basic indicators, GraniteShares ETF sustained solid returns over the last few months and may actually be approaching a breakup point.

ProShares Big and GraniteShares ETF Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with ProShares Big and GraniteShares ETF

The main advantage of trading using opposite ProShares Big and GraniteShares ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ProShares Big position performs unexpectedly, GraniteShares ETF 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 GraniteShares ETF will offset losses from the drop in GraniteShares ETF's long position.
The idea behind ProShares Big Data and GraniteShares ETF Trust 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

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