Correlation Between Sherwin Williams and Albemarle
Can any of the company-specific risk be diversified away by investing in both Sherwin Williams and Albemarle 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 Sherwin Williams and Albemarle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Sherwin Williams and Albemarle, you can compare the effects of market volatilities on Sherwin Williams and Albemarle 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 Sherwin Williams with a short position of Albemarle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sherwin Williams and Albemarle.
Diversification Opportunities for Sherwin Williams and Albemarle
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sherwin and Albemarle is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding The Sherwin Williams and Albemarle in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Albemarle and Sherwin Williams 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 The Sherwin Williams are associated (or correlated) with Albemarle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Albemarle has no effect on the direction of Sherwin Williams i.e., Sherwin Williams and Albemarle go up and down completely randomly.
Pair Corralation between Sherwin Williams and Albemarle
Assuming the 90 days horizon Sherwin Williams is expected to generate 2.35 times less return on investment than Albemarle. But when comparing it to its historical volatility, The Sherwin Williams is 2.07 times less risky than Albemarle. It trades about 0.13 of its potential returns per unit of risk. Albemarle is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 7,014 in Albemarle on September 6, 2024 and sell it today you would earn a total of 2,743 from holding Albemarle or generate 39.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
The Sherwin Williams vs. Albemarle
Performance |
Timeline |
Sherwin Williams |
Albemarle |
Sherwin Williams and Albemarle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sherwin Williams and Albemarle
The main advantage of trading using opposite Sherwin Williams and Albemarle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sherwin Williams position performs unexpectedly, Albemarle 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 Albemarle will offset losses from the drop in Albemarle's long position.Sherwin Williams vs. Dupont De Nemours | Sherwin Williams vs. Superior Plus Corp | Sherwin Williams vs. NMI Holdings | Sherwin Williams vs. Origin Agritech |
Albemarle vs. PLAYTIKA HOLDING DL 01 | Albemarle vs. Arrow Electronics | Albemarle vs. STMICROELECTRONICS | Albemarle vs. Universal Display |
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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