Correlation Between Procter Gamble and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and Goldman Sachs 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 Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and Goldman Sachs Community, you can compare the effects of market volatilities on Procter Gamble and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and Goldman Sachs.
Diversification Opportunities for Procter Gamble and Goldman Sachs
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Procter and Goldman is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and Goldman Sachs Community in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Community 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Community has no effect on the direction of Procter Gamble i.e., Procter Gamble and Goldman Sachs go up and down completely randomly.
Pair Corralation between Procter Gamble and Goldman Sachs
Allowing for the 90-day total investment horizon Procter Gamble is expected to generate 19.05 times less return on investment than Goldman Sachs. But when comparing it to its historical volatility, Procter Gamble is 20.47 times less risky than Goldman Sachs. It trades about 0.05 of its potential returns per unit of risk. Goldman Sachs Community is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,000.00 in Goldman Sachs Community on August 26, 2024 and sell it today you would earn a total of 3,969 from holding Goldman Sachs Community or generate 396.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 87.53% |
Values | Daily Returns |
Procter Gamble vs. Goldman Sachs Community
Performance |
Timeline |
Procter Gamble |
Goldman Sachs Community |
Procter Gamble and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and Goldman Sachs
The main advantage of trading using opposite Procter Gamble and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Procter Gamble vs. Unilever PLC ADR | Procter Gamble vs. Estee Lauder Companies | Procter Gamble vs. ELF Beauty | Procter Gamble vs. Coty Inc |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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