Correlation Between NYSE Composite and Progressive Corp

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

Diversification Opportunities for NYSE Composite and Progressive Corp

0.69
  Correlation Coefficient

Poor diversification

The 3 months correlation between NYSE and Progressive is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Progressive Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Progressive Corp and NYSE Composite 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 NYSE Composite are associated (or correlated) with Progressive Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Progressive Corp has no effect on the direction of NYSE Composite i.e., NYSE Composite and Progressive Corp go up and down completely randomly.
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Pair Corralation between NYSE Composite and Progressive Corp

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Progressive Corp. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 1.76 times less risky than Progressive Corp. The index trades about -0.12 of its potential returns per unit of risk. The Progressive Corp is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest  21,100  in Progressive Corp on February 5, 2024 and sell it today you would lose (228.00) from holding Progressive Corp or give up 1.08% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Progressive Corp

 Performance 
       Timeline  

NYSE Composite and Progressive Corp Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Progressive Corp

The main advantage of trading using opposite NYSE Composite and Progressive Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Progressive Corp 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 Progressive Corp will offset losses from the drop in Progressive Corp's long position.
The idea behind NYSE Composite and Progressive Corp 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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