Correlation Between NYSE Composite and Otc Markets

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

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

Diversification Opportunities for NYSE Composite and Otc Markets

0.61

Correlation Coefficient

NYSE Composite  Otc Markets

Poor diversification

The 3 months correlation between NYSE and Otc is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Otc Markets Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Otc Markets Group 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 Otc Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Otc Markets Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and Otc Markets go up and down completely randomly.

Pair Corralation between NYSE Composite and Otc Markets

Assuming the 90 days trading horizon NYSE Composite is expected to generate 30.77 times less return on investment than Otc Markets. But when comparing it to its historical volatility, NYSE Composite is 2.98 times less risky than Otc Markets. It trades about 0.02 of its potential returns per unit of risk. Otc Markets Group is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  4,564  in Otc Markets Group on September 19, 2024 and sell it today you would earn a total of  776.00  from holding Otc Markets Group or generate 17.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	98.44%
Values	Daily Returns

NYSE Composite  vs.  Otc Markets Group

Pair Trading with NYSE Composite and Otc Markets

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

The idea behind NYSE Composite and Otc Markets Group 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.