Correlation Between NYSE Composite and Franklin High

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

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

Diversification Opportunities for NYSE Composite and Franklin High

0.88

Correlation Coefficient

NYSE Composite  Franklin High

Very poor diversification

The 3 months correlation between NYSE and Franklin is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Franklin High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin High Income 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 Franklin High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin High Income has no effect on the direction of NYSE Composite i.e., NYSE Composite and Franklin High go up and down completely randomly.

Pair Corralation between NYSE Composite and Franklin High

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Franklin High. In addition to that, NYSE Composite is 1.84 times more volatile than Franklin High Income. It trades about -0.06 of its total potential returns per unit of risk. Franklin High Income is currently generating about 0.07 per unit of volatility. If you would invest  174.00  in Franklin High Income on February 4, 2024 and sell it today you would earn a total of  1.00  from holding Franklin High Income or generate 0.57% return on investment over 90 days.

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

NYSE Composite  vs.  Franklin High Income

Pair Trading with NYSE Composite and Franklin High

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

The idea behind NYSE Composite and Franklin High Income 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.