Correlation Between Goldman Sachs and ProShares Big

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Can any of the company-specific risk be diversified away by investing in both Goldman Sachs 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 Goldman Sachs and ProShares Big into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs and ProShares Big Data, you can compare the effects of market volatilities on Goldman Sachs 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 Goldman Sachs with a short position of ProShares Big. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and ProShares Big.

Diversification Opportunities for Goldman Sachs and ProShares Big

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between Goldman and ProShares is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs i.e., Goldman Sachs and ProShares Big go up and down completely randomly.

Pair Corralation between Goldman Sachs and ProShares Big

If you would invest (100.00) in Goldman Sachs on December 4, 2024 and sell it today you would earn a total of  100.00  from holding Goldman Sachs or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

Goldman Sachs  vs.  ProShares Big Data

 Performance 
       Timeline  
Goldman Sachs 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Goldman Sachs has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong technical and fundamental indicators, Goldman Sachs is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.
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.

Goldman Sachs and ProShares Big Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Goldman Sachs and ProShares Big

The main advantage of trading using opposite Goldman Sachs and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs 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 Goldman Sachs 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.

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