Correlation Between Procter Gamble and Cambria Global
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and Cambria Global 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 Cambria Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and Cambria Global Value, you can compare the effects of market volatilities on Procter Gamble and Cambria Global 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 Cambria Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and Cambria Global.
Diversification Opportunities for Procter Gamble and Cambria Global
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Procter and Cambria is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and Cambria Global Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambria Global Value 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 Cambria Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambria Global Value has no effect on the direction of Procter Gamble i.e., Procter Gamble and Cambria Global go up and down completely randomly.
Pair Corralation between Procter Gamble and Cambria Global
Allowing for the 90-day total investment horizon Procter Gamble is expected to generate 0.83 times more return on investment than Cambria Global. However, Procter Gamble is 1.21 times less risky than Cambria Global. It trades about -0.29 of its potential returns per unit of risk. Cambria Global Value is currently generating about -0.27 per unit of risk. If you would invest 17,079 in Procter Gamble on October 8, 2024 and sell it today you would lose (566.00) from holding Procter Gamble or give up 3.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Procter Gamble vs. Cambria Global Value
Performance |
Timeline |
Procter Gamble |
Cambria Global Value |
Procter Gamble and Cambria Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and Cambria Global
The main advantage of trading using opposite Procter Gamble and Cambria Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, Cambria Global 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 Cambria Global will offset losses from the drop in Cambria Global's long position.Procter Gamble vs. Aquagold International | Procter Gamble vs. Alibaba Group Holding | Procter Gamble vs. Banco Bradesco SA | Procter Gamble vs. HP Inc |
Cambria Global vs. Cambria Foreign Shareholder | Cambria Global vs. Cambria Global Momentum | Cambria Global vs. Cambria Emerging Shareholder | Cambria Global vs. Cambria Global Asset |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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