Correlation Between Allient and MobileSmith

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

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

Diversification Opportunities for Allient and MobileSmith

0.0

Correlation Coefficient

Allient  MobileSmith

Pay attention - limited upside

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

Pair Corralation between Allient and MobileSmith

If you would invest  0.03  in MobileSmith on October 11, 2024 and sell it today you would earn a total of  0.00  from holding MobileSmith or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	95.24%
Values	Daily Returns

Allient  vs.  MobileSmith

Allient

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Allient are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak basic indicators, Allient unveiled solid returns over the last few months and may actually be approaching a breakup point.

MobileSmith

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days MobileSmith has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable basic indicators, MobileSmith is not utilizing all of its potentials. The current stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Allient and MobileSmith

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

The idea behind Allient and MobileSmith 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.