Correlation Between Procter Gamble and FactSet Research
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and FactSet Research 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 Procter Gamble and FactSet Research into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and FactSet Research Systems, you can compare the effects of market volatilities on Procter Gamble and FactSet Research 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 Procter Gamble with a short position of FactSet Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and FactSet Research.
Diversification Opportunities for Procter Gamble and FactSet Research
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Procter and FactSet is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and FactSet Research Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FactSet Research Systems and Procter Gamble 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 Procter Gamble are associated (or correlated) with FactSet Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FactSet Research Systems has no effect on the direction of Procter Gamble i.e., Procter Gamble and FactSet Research go up and down completely randomly.
Pair Corralation between Procter Gamble and FactSet Research
Allowing for the 90-day total investment horizon Procter Gamble is expected to under-perform the FactSet Research. But the stock apears to be less risky and, when comparing its historical volatility, Procter Gamble is 1.64 times less risky than FactSet Research. The stock trades about -0.36 of its potential returns per unit of risk. The FactSet Research Systems is currently generating about -0.19 of returns per unit of risk over similar time horizon. If you would invest 48,378 in FactSet Research Systems on October 11, 2024 and sell it today you would lose (2,532) from holding FactSet Research Systems or give up 5.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Procter Gamble vs. FactSet Research Systems
Performance |
Timeline |
Procter Gamble |
FactSet Research Systems |
Procter Gamble and FactSet Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and FactSet Research
The main advantage of trading using opposite Procter Gamble and FactSet Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, FactSet Research 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 FactSet Research will offset losses from the drop in FactSet Research's long position.Procter Gamble vs. The Clorox | Procter Gamble vs. Colgate Palmolive | Procter Gamble vs. Unilever PLC ADR | Procter Gamble vs. Church Dwight |
FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
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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