Correlation Between NYSE Composite and Wialan Technologies

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

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

Diversification Opportunities for NYSE Composite and Wialan Technologies

-0.26

Correlation Coefficient

NYSE Composite  Wialan Technologies

Very good diversification

The 3 months correlation between NYSE and Wialan is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Wialan Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wialan Technologies 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 Wialan Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wialan Technologies has no effect on the direction of NYSE Composite i.e., NYSE Composite and Wialan Technologies go up and down completely randomly.

Pair Corralation between NYSE Composite and Wialan Technologies

Assuming the 90 days trading horizon NYSE Composite is expected to generate 38.85 times less return on investment than Wialan Technologies. But when comparing it to its historical volatility, NYSE Composite is 11.41 times less risky than Wialan Technologies. It trades about 0.02 of its potential returns per unit of risk. Wialan Technologies is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  0.08  in Wialan Technologies on December 29, 2024 and sell it today you would earn a total of  0.02  from holding Wialan Technologies or generate 25.0% 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.  Wialan Technologies

Pair Trading with NYSE Composite and Wialan Technologies

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

The idea behind NYSE Composite and Wialan Technologies 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.