Correlation Between Edgewell Personal and Flow Traders
Can any of the company-specific risk be diversified away by investing in both Edgewell Personal and Flow Traders 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 Edgewell Personal and Flow Traders into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Edgewell Personal Care and Flow Traders, you can compare the effects of market volatilities on Edgewell Personal and Flow Traders 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 Edgewell Personal with a short position of Flow Traders. Check out your portfolio center. Please also check ongoing floating volatility patterns of Edgewell Personal and Flow Traders.
Diversification Opportunities for Edgewell Personal and Flow Traders
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Edgewell and Flow is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Edgewell Personal Care and Flow Traders in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flow Traders and Edgewell Personal 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 Edgewell Personal Care are associated (or correlated) with Flow Traders. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flow Traders has no effect on the direction of Edgewell Personal i.e., Edgewell Personal and Flow Traders go up and down completely randomly.
Pair Corralation between Edgewell Personal and Flow Traders
Considering the 90-day investment horizon Edgewell Personal Care is expected to under-perform the Flow Traders. But the stock apears to be less risky and, when comparing its historical volatility, Edgewell Personal Care is 1.27 times less risky than Flow Traders. The stock trades about -0.1 of its potential returns per unit of risk. The Flow Traders is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 2,340 in Flow Traders on December 19, 2024 and sell it today you would earn a total of 596.00 from holding Flow Traders or generate 25.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 90.0% |
Values | Daily Returns |
Edgewell Personal Care vs. Flow Traders
Performance |
Timeline |
Edgewell Personal Care |
Flow Traders |
Edgewell Personal and Flow Traders Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Edgewell Personal and Flow Traders
The main advantage of trading using opposite Edgewell Personal and Flow Traders positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Edgewell Personal position performs unexpectedly, Flow Traders 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 Flow Traders will offset losses from the drop in Flow Traders' long position.Edgewell Personal vs. Mannatech Incorporated | Edgewell Personal vs. Inter Parfums | Edgewell Personal vs. Nu Skin Enterprises | Edgewell Personal vs. Helen of Troy |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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