Correlation Between FactSet Research and Allient

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

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

Diversification Opportunities for FactSet Research and Allient

0.81

Correlation Coefficient

FactSet Research  Allient

Very poor diversification

The 3 months correlation between FactSet and Allient is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and Allient in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Allient and FactSet Research 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 FactSet Research Systems are associated (or correlated) with Allient. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Allient has no effect on the direction of FactSet Research i.e., FactSet Research and Allient go up and down completely randomly.

Pair Corralation between FactSet Research and Allient

Considering the 90-day investment horizon FactSet Research is expected to generate 2.93 times less return on investment than Allient. But when comparing it to its historical volatility, FactSet Research Systems is 2.25 times less risky than Allient. It trades about 0.14 of its potential returns per unit of risk. Allient is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest  2,042  in Allient on September 13, 2024 and sell it today you would earn a total of  651.00  from holding Allient or generate 31.88% return on investment over 90 days.

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

FactSet Research Systems  vs.  Allient

FactSet Research Systems

Risk-Adjusted Performance

10 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in FactSet Research Systems are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively weak fundamental indicators, FactSet Research may actually be approaching a critical reversion point that can send shares even higher in January 2025.

Allient

Risk-Adjusted Performance

14 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Allient are ranked lower than 14 (%) 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.

Pair Trading with FactSet Research and Allient

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

The idea behind FactSet Research Systems and Allient 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.