Correlation Between NYSE Composite and Pimco Foreign

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

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

Diversification Opportunities for NYSE Composite and Pimco Foreign

0.49

Correlation Coefficient

NYSE Composite  Pimco Foreign

Very weak diversification

The 3 months correlation between NYSE and Pimco is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Pimco Foreign Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pimco Foreign Bond 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 Pimco Foreign. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pimco Foreign Bond has no effect on the direction of NYSE Composite i.e., NYSE Composite and Pimco Foreign go up and down completely randomly.

Pair Corralation between NYSE Composite and Pimco Foreign

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Pimco Foreign. In addition to that, NYSE Composite is 3.03 times more volatile than Pimco Foreign Bond. It trades about -0.01 of its total potential returns per unit of risk. Pimco Foreign Bond is currently generating about 0.02 per unit of volatility. If you would invest  991.00  in Pimco Foreign Bond on September 27, 2024 and sell it today you would earn a total of  2.00  from holding Pimco Foreign Bond or generate 0.2% return on investment over 90 days.

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

NYSE Composite  vs.  Pimco Foreign Bond

Pair Trading with NYSE Composite and Pimco Foreign

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

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