Correlation Between FactSet Research and Acme United
Can any of the company-specific risk be diversified away by investing in both FactSet Research and Acme United 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 Acme United 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 Acme United, you can compare the effects of market volatilities on FactSet Research and Acme United 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 Acme United. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and Acme United.
Diversification Opportunities for FactSet Research and Acme United
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FactSet and Acme is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and Acme United in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acme United 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 Acme United. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acme United has no effect on the direction of FactSet Research i.e., FactSet Research and Acme United go up and down completely randomly.
Pair Corralation between FactSet Research and Acme United
Considering the 90-day investment horizon FactSet Research Systems is expected to generate 0.36 times more return on investment than Acme United. However, FactSet Research Systems is 2.79 times less risky than Acme United. It trades about 0.11 of its potential returns per unit of risk. Acme United is currently generating about -0.13 per unit of risk. If you would invest 48,038 in FactSet Research Systems on September 20, 2024 and sell it today you would earn a total of 935.00 from holding FactSet Research Systems or generate 1.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
FactSet Research Systems vs. Acme United
Performance |
Timeline |
FactSet Research Systems |
Acme United |
FactSet Research and Acme United Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FactSet Research and Acme United
The main advantage of trading using opposite FactSet Research and Acme United positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FactSet Research position performs unexpectedly, Acme United 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 Acme United will offset losses from the drop in Acme United's long position.FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
Acme United vs. Mannatech Incorporated | Acme United vs. European Wax Center | Acme United vs. Inter Parfums | Acme United vs. Spectrum Brands Holdings |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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