Correlation Between FactSet Research and 360 Finance
Can any of the company-specific risk be diversified away by investing in both FactSet Research and 360 Finance 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 360 Finance 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 360 Finance, you can compare the effects of market volatilities on FactSet Research and 360 Finance 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 360 Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of FactSet Research and 360 Finance.
Diversification Opportunities for FactSet Research and 360 Finance
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FactSet and 360 is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding FactSet Research Systems and 360 Finance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 360 Finance 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 360 Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 360 Finance has no effect on the direction of FactSet Research i.e., FactSet Research and 360 Finance go up and down completely randomly.
Pair Corralation between FactSet Research and 360 Finance
Considering the 90-day investment horizon FactSet Research is expected to generate 13.19 times less return on investment than 360 Finance. But when comparing it to its historical volatility, FactSet Research Systems is 2.21 times less risky than 360 Finance. It trades about 0.02 of its potential returns per unit of risk. 360 Finance is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,596 in 360 Finance on October 5, 2024 and sell it today you would earn a total of 2,271 from holding 360 Finance or generate 142.29% 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. 360 Finance
Performance |
Timeline |
FactSet Research Systems |
360 Finance |
FactSet Research and 360 Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FactSet Research and 360 Finance
The main advantage of trading using opposite FactSet Research and 360 Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FactSet Research position performs unexpectedly, 360 Finance 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 360 Finance will offset losses from the drop in 360 Finance's long position.FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
360 Finance vs. Asure Software | 360 Finance vs. Naked Wines plc | 360 Finance vs. Celsius Holdings | 360 Finance vs. Cadence Design Systems |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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