Correlation Between NYSE Composite and AXS TSLA

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

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

Diversification Opportunities for NYSE Composite and AXS TSLA

-0.35

Correlation Coefficient

NYSE Composite  AXS TSLA

Very good diversification

The 3 months correlation between NYSE and AXS is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and AXS TSLA Bear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AXS TSLA Bear 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 AXS TSLA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AXS TSLA Bear has no effect on the direction of NYSE Composite i.e., NYSE Composite and AXS TSLA go up and down completely randomly.

Pair Corralation between NYSE Composite and AXS TSLA

Assuming the 90 days trading horizon NYSE Composite is expected to generate 33.13 times less return on investment than AXS TSLA. But when comparing it to its historical volatility, NYSE Composite is 68.66 times less risky than AXS TSLA. It trades about 0.14 of its potential returns per unit of risk. AXS TSLA Bear is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest  3,604  in AXS TSLA Bear on September 1, 2024 and sell it today you would earn a total of  701.00  from holding AXS TSLA Bear or generate 19.45% return on investment over 90 days.

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

NYSE Composite  vs.  AXS TSLA Bear

Pair Trading with NYSE Composite and AXS TSLA

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

The idea behind NYSE Composite and AXS TSLA Bear 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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.