Correlation Between HP and Sientra

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

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

Diversification Opportunities for HP and Sientra

0.0

Correlation Coefficient

HP  Sientra

Pay attention - limited upside

The 3 months correlation between HP and Sientra is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding HP Inc and Sientra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sientra and HP 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 HP Inc are associated (or correlated) with Sientra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sientra has no effect on the direction of HP i.e., HP and Sientra go up and down completely randomly.

Pair Corralation between HP and Sientra

If you would invest (100.00) in Sientra on December 10, 2024 and sell it today you would earn a total of  100.00  from holding Sientra or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

HP Inc  vs.  Sientra

HP Inc

Risk-Adjusted Performance

Very Weak

Over the last 90 days HP Inc has generated negative risk-adjusted returns adding no value to investors with long positions. Even with latest weak performance, the Stock's basic indicators remain invariable and the latest agitation on Wall Street may also be a sign of long-running gains for the enterprise retail investors.

Sientra

Risk-Adjusted Performance

Very Weak

Over the last 90 days Sientra has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy technical and fundamental indicators, Sientra is not utilizing all of its potentials. The recent stock price disarray, may contribute to short-term losses for the investors.

Pair Trading with HP and Sientra

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

The idea behind HP Inc and Sientra 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.