Correlation Between Hanesbrands and Vertex

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

By analyzing existing cross correlation between Hanesbrands and Vertex, you can compare the effects of market volatilities on Hanesbrands and Vertex 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 Hanesbrands with a short position of Vertex. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanesbrands and Vertex.

Diversification Opportunities for Hanesbrands and Vertex

0.92

Correlation Coefficient

Hanesbrands  Vertex

Almost no diversification

The 3 months correlation between Hanesbrands and Vertex is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Hanesbrands and Vertex in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vertex and Hanesbrands 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 Hanesbrands are associated (or correlated) with Vertex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vertex has no effect on the direction of Hanesbrands i.e., Hanesbrands and Vertex go up and down completely randomly.

Pair Corralation between Hanesbrands and Vertex

Considering the 90-day investment horizon Hanesbrands is expected to generate 0.88 times more return on investment than Vertex. However, Hanesbrands is 1.14 times less risky than Vertex. It trades about -0.16 of its potential returns per unit of risk. Vertex is currently generating about -0.16 per unit of risk. If you would invest  812.00  in Hanesbrands on December 30, 2024 and sell it today you would lose (235.00) from holding Hanesbrands or give up 28.94% of portfolio value over 90 days.

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

Hanesbrands  vs.  Vertex

Hanesbrands

Risk-Adjusted Performance

Very Weak

Over the last 90 days Hanesbrands has generated negative risk-adjusted returns adding no value to investors with long positions. Despite conflicting performance in the last few months, the Stock's fundamental drivers remain fairly strong which may send shares a bit higher in April 2025. The recent confusion may also be a sign of long-lasting up-swing for the firm traders.

Vertex

Risk-Adjusted Performance

Very Weak

Over the last 90 days Vertex has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of weak performance in the last few months, the Stock's basic indicators remain fairly strong which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long term up-swing for the company investors.

Pair Trading with Hanesbrands and Vertex

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

The idea behind Hanesbrands and Vertex 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.