Correlation Between NYSE Composite and Franklin Low

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Franklin Low 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 Low 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 Low Duration, you can compare the effects of market volatilities on NYSE Composite and Franklin Low 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 Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Franklin Low.

Diversification Opportunities for NYSE Composite and Franklin Low

-0.09

Correlation Coefficient

NYSE Composite  Franklin Low

Good diversification

The 3 months correlation between NYSE and Franklin is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Franklin Low Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Low Duration 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 Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Low Duration has no effect on the direction of NYSE Composite i.e., NYSE Composite and Franklin Low go up and down completely randomly.

Pair Corralation between NYSE Composite and Franklin Low

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Franklin Low. In addition to that, NYSE Composite is 7.91 times more volatile than Franklin Low Duration. It trades about -0.29 of its total potential returns per unit of risk. Franklin Low Duration is currently generating about -0.06 per unit of volatility. If you would invest  899.00  in Franklin Low Duration on September 22, 2024 and sell it today you would lose (1.00) from holding Franklin Low Duration or give up 0.11% of portfolio value over 90 days.

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

NYSE Composite  vs.  Franklin Low Duration

Pair Trading with NYSE Composite and Franklin Low

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

The idea behind NYSE Composite and Franklin Low Duration 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.