Correlation Between Procter Gamble and Softbank Group
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and Softbank Group 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 Softbank Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and Softbank Group Corp, you can compare the effects of market volatilities on Procter Gamble and Softbank Group 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 Softbank Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and Softbank Group.
Diversification Opportunities for Procter Gamble and Softbank Group
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Procter and Softbank is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and Softbank Group Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Softbank Group Corp 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 Softbank Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Softbank Group Corp has no effect on the direction of Procter Gamble i.e., Procter Gamble and Softbank Group go up and down completely randomly.
Pair Corralation between Procter Gamble and Softbank Group
Allowing for the 90-day total investment horizon Procter Gamble is expected to generate 0.5 times more return on investment than Softbank Group. However, Procter Gamble is 2.0 times less risky than Softbank Group. It trades about 0.17 of its potential returns per unit of risk. Softbank Group Corp is currently generating about -0.17 per unit of risk. If you would invest 16,930 in Procter Gamble on August 27, 2024 and sell it today you would earn a total of 698.00 from holding Procter Gamble or generate 4.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Procter Gamble vs. Softbank Group Corp
Performance |
Timeline |
Procter Gamble |
Softbank Group Corp |
Procter Gamble and Softbank Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and Softbank Group
The main advantage of trading using opposite Procter Gamble and Softbank Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, Softbank Group 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 Softbank Group will offset losses from the drop in Softbank Group's long position.Procter Gamble vs. Unilever PLC ADR | Procter Gamble vs. Estee Lauder Companies | Procter Gamble vs. ELF Beauty | Procter Gamble vs. Coty Inc |
Softbank Group vs. SoftBank Corp | Softbank Group vs. Orange SA ADR | Softbank Group vs. Charter Communications | Softbank Group vs. Cable One |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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