Correlation Between NYSE Composite and TCW ETF

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

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

Diversification Opportunities for NYSE Composite and TCW ETF

0.89

Correlation Coefficient

NYSE Composite  TCW ETF

Very poor diversification

The 3 months correlation between NYSE and TCW is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and TCW ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TCW ETF Trust 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 TCW ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TCW ETF Trust has no effect on the direction of NYSE Composite i.e., NYSE Composite and TCW ETF go up and down completely randomly.

Pair Corralation between NYSE Composite and TCW ETF

Assuming the 90 days trading horizon NYSE Composite is expected to generate 1.21 times less return on investment than TCW ETF. But when comparing it to its historical volatility, NYSE Composite is 1.51 times less risky than TCW ETF. It trades about 0.1 of its potential returns per unit of risk. TCW ETF Trust is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest  4,863  in TCW ETF Trust on September 14, 2024 and sell it today you would earn a total of  1,777  from holding TCW ETF Trust or generate 36.54% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	99.75%
Values	Daily Returns

NYSE Composite  vs.  TCW ETF Trust

Pair Trading with NYSE Composite and TCW ETF

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

The idea behind NYSE Composite and TCW ETF Trust 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.

Check out your portfolio center.

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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.