Correlation Between GainClients and Appfolio

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

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

Diversification Opportunities for GainClients and Appfolio

0.0

Correlation Coefficient

GainClients  Appfolio

Pay attention - limited upside

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

Pair Corralation between GainClients and Appfolio

If you would invest  23,619  in Appfolio on September 23, 2024 and sell it today you would earn a total of  1,560  from holding Appfolio or generate 6.6% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	98.48%
Values	Daily Returns

GainClients  vs.  Appfolio

GainClients

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days GainClients has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable essential indicators, GainClients is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Appfolio

Risk-Adjusted Performance

4 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Appfolio are ranked lower than 4 (%) of all global equities and portfolios over the last 90 days. Despite nearly weak basic indicators, Appfolio may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Pair Trading with GainClients and Appfolio

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

The idea behind GainClients and Appfolio 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.