Correlation Between Procter Gamble and Old Dominion
Can any of the company-specific risk be diversified away by investing in both Procter Gamble and Old Dominion 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 Old Dominion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Procter Gamble and Old Dominion Freight, you can compare the effects of market volatilities on Procter Gamble and Old Dominion 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 Old Dominion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Procter Gamble and Old Dominion.
Diversification Opportunities for Procter Gamble and Old Dominion
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Procter and Old is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Procter Gamble and Old Dominion Freight in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Old Dominion Freight 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 Old Dominion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Old Dominion Freight has no effect on the direction of Procter Gamble i.e., Procter Gamble and Old Dominion go up and down completely randomly.
Pair Corralation between Procter Gamble and Old Dominion
Allowing for the 90-day total investment horizon Procter Gamble is expected to generate 0.6 times more return on investment than Old Dominion. However, Procter Gamble is 1.66 times less risky than Old Dominion. It trades about -0.01 of its potential returns per unit of risk. Old Dominion Freight is currently generating about -0.04 per unit of risk. If you would invest 16,850 in Procter Gamble on December 27, 2024 and sell it today you would lose (192.00) from holding Procter Gamble or give up 1.14% 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. Old Dominion Freight
Performance |
Timeline |
Procter Gamble |
Old Dominion Freight |
Procter Gamble and Old Dominion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Procter Gamble and Old Dominion
The main advantage of trading using opposite Procter Gamble and Old Dominion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Procter Gamble position performs unexpectedly, Old Dominion 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 Old Dominion will offset losses from the drop in Old Dominion's long position.Procter Gamble vs. Colgate Palmolive | Procter Gamble vs. Unilever PLC ADR | Procter Gamble vs. Church Dwight | Procter Gamble vs. Kimberly Clark |
Old Dominion vs. ArcBest Corp | Old Dominion vs. Marten Transport | Old Dominion vs. Werner Enterprises | Old Dominion vs. Knight Transportation |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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