Correlation Between HP and FANH Old

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

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

Diversification Opportunities for HP and FANH Old

-0.21

Correlation Coefficient

HP  FANH Old

Very good diversification

The 3 months correlation between HP and FANH is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding HP Inc and FANH Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FANH Old 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 FANH Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FANH Old has no effect on the direction of HP i.e., HP and FANH Old go up and down completely randomly.

Pair Corralation between HP and FANH Old

If you would invest  151.00  in FANH Old on October 25, 2024 and sell it today you would earn a total of  0.00  from holding FANH Old or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	5.56%
Values	Daily Returns

HP Inc  vs.  FANH Old

HP Inc

Risk-Adjusted Performance

0 of 100

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 unfluctuating 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.

FANH Old

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days FANH Old has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong basic indicators, FANH Old is not utilizing all of its potentials. The latest stock price confusion, may contribute to short-horizon losses for the traders.

Pair Trading with HP and FANH Old

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

The idea behind HP Inc and FANH Old 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.