Correlation Between FactSet Research and First Community
Can any of the company-specific risk be diversified away by investing in both FactSet Research and First Community 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 First Community 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 First Community Bancshares, you can compare the effects of market volatilities on FactSet Research and First Community 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 First Community. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and First Community.
Diversification Opportunities for FactSet Research and First Community
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FactSet and First is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and First Community Bancshares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Community Banc 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 First Community. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Community Banc has no effect on the direction of FactSet Research i.e., FactSet Research and First Community go up and down completely randomly.
Pair Corralation between FactSet Research and First Community
Considering the 90-day investment horizon FactSet Research Systems is expected to generate 0.7 times more return on investment than First Community. However, FactSet Research Systems is 1.42 times less risky than First Community. It trades about 0.02 of its potential returns per unit of risk. First Community Bancshares is currently generating about -0.23 per unit of risk. If you would invest 48,994 in FactSet Research Systems on September 27, 2024 and sell it today you would earn a total of 141.00 from holding FactSet Research Systems or generate 0.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FactSet Research Systems vs. First Community Bancshares
Performance |
Timeline |
FactSet Research Systems |
First Community Banc |
FactSet Research and First Community Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FactSet Research and First Community
The main advantage of trading using opposite FactSet Research and First Community positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FactSet Research position performs unexpectedly, First Community 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 First Community will offset losses from the drop in First Community's long position.FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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