Correlation Between Ecolab and Oil Dri
Can any of the company-specific risk be diversified away by investing in both Ecolab and Oil Dri 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 Ecolab and Oil Dri into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ecolab Inc and Oil Dri, you can compare the effects of market volatilities on Ecolab and Oil Dri 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 Ecolab with a short position of Oil Dri. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ecolab and Oil Dri.
Diversification Opportunities for Ecolab and Oil Dri
Excellent diversification
The 3 months correlation between Ecolab and Oil is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Ecolab Inc and Oil Dri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Oil Dri and Ecolab 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 Ecolab Inc are associated (or correlated) with Oil Dri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Oil Dri has no effect on the direction of Ecolab i.e., Ecolab and Oil Dri go up and down completely randomly.
Pair Corralation between Ecolab and Oil Dri
Considering the 90-day investment horizon Ecolab Inc is expected to under-perform the Oil Dri. But the stock apears to be less risky and, when comparing its historical volatility, Ecolab Inc is 4.24 times less risky than Oil Dri. The stock trades about -0.14 of its potential returns per unit of risk. The Oil Dri is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 6,980 in Oil Dri on September 26, 2024 and sell it today you would earn a total of 1,748 from holding Oil Dri or generate 25.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ecolab Inc vs. Oil Dri
Performance |
Timeline |
Ecolab Inc |
Oil Dri |
Ecolab and Oil Dri Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ecolab and Oil Dri
The main advantage of trading using opposite Ecolab and Oil Dri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ecolab position performs unexpectedly, Oil Dri 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 Oil Dri will offset losses from the drop in Oil Dri's long position.The idea behind Ecolab Inc and Oil Dri pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Oil Dri vs. Quaker Chemical | Oil Dri vs. Minerals Technologies | Oil Dri vs. Innospec | Oil Dri vs. H B Fuller |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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