Correlation Between Fidelity Sai and NYSE Composite

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

Diversification Opportunities for Fidelity Sai and NYSE Composite

  Correlation Coefficient

Average diversification

The 3 months correlation between Fidelity and NYSE is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding FIDELITY SAI LONG-TERM and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite and Fidelity Sai 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 Fidelity Sai Long Term are associated (or correlated) with NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of Fidelity Sai i.e., Fidelity Sai and NYSE Composite go up and down completely randomly.

Pair Corralation between Fidelity Sai and NYSE Composite

Assuming the 90 days horizon Fidelity Sai is expected to generate 1.89 times less return on investment than NYSE Composite. In addition to that, Fidelity Sai is 1.68 times more volatile than NYSE Composite. It trades about 0.06 of its total potential returns per unit of risk. NYSE Composite is currently generating about 0.2 per unit of volatility. If you would invest  1,523,001  in NYSE Composite on November 30, 2023 and sell it today you would earn a total of  236,831  from holding NYSE Composite or generate 15.55% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
ValuesDaily Returns



Fidelity Sai and NYSE Composite Volatility Contrast

   Predicted Return Density   

Pair Trading with Fidelity Sai and NYSE Composite

The main advantage of trading using opposite Fidelity Sai and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Sai position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.
The idea behind Fidelity Sai Long Term and NYSE Composite 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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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