Correlation Between First Trust and ProShares Big

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

Diversification Opportunities for First Trust and ProShares Big

0.98
  Correlation Coefficient

Almost no diversification

The 3 months correlation between First and ProShares is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dow 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 First Trust 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 First Trust Dow 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 First Trust i.e., First Trust and ProShares Big go up and down completely randomly.

Pair Corralation between First Trust and ProShares Big

Considering the 90-day investment horizon First Trust is expected to generate 1.33 times less return on investment than ProShares Big. But when comparing it to its historical volatility, First Trust Dow is 1.33 times less risky than ProShares Big. It trades about 0.3 of its potential returns per unit of risk. ProShares Big Data is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest  4,215  in ProShares Big Data on September 15, 2024 and sell it today you would earn a total of  422.00  from holding ProShares Big Data or generate 10.01% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

First Trust Dow  vs.  ProShares Big Data

 Performance 
       Timeline  
First Trust Dow 

Risk-Adjusted Performance

26 of 100

 
Weak
 
Strong
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in First Trust Dow are ranked lower than 26 (%) of all global equities and portfolios over the last 90 days. In spite of very weak fundamental indicators, First Trust displayed solid returns over the last few months and may actually be approaching a breakup point.
ProShares Big Data 

Risk-Adjusted Performance

24 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in ProShares Big Data are ranked lower than 24 (%) 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.

First Trust and ProShares Big Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with First Trust and ProShares Big

The main advantage of trading using opposite First Trust and ProShares Big positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust 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 First Trust Dow 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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.

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