Correlation Between NYSE Composite and Saat Market

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Saat Market 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 Saat Market into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and Saat Market Growth, you can compare the effects of market volatilities on NYSE Composite and Saat Market 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 Saat Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Saat Market.

Diversification Opportunities for NYSE Composite and Saat Market

0.88

Correlation Coefficient

NYSE Composite  Saat Market

Very poor diversification

The 3 months correlation between NYSE and Saat is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Saat Market Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saat Market Growth 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 Saat Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saat Market Growth has no effect on the direction of NYSE Composite i.e., NYSE Composite and Saat Market go up and down completely randomly.

Pair Corralation between NYSE Composite and Saat Market

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.35 times less return on investment than Saat Market. In addition to that, NYSE Composite is 1.55 times more volatile than Saat Market Growth. It trades about 0.02 of its total potential returns per unit of risk. Saat Market Growth is currently generating about 0.05 per unit of volatility. If you would invest  1,228  in Saat Market Growth on December 29, 2024 and sell it today you would earn a total of  19.00  from holding Saat Market Growth or generate 1.55% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

NYSE Composite  vs.  Saat Market Growth

Pair Trading with NYSE Composite and Saat Market

The main advantage of trading using opposite NYSE Composite and Saat Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Saat Market 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 Saat Market will offset losses from the drop in Saat Market's long position.

The idea behind NYSE Composite and Saat Market Growth 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.