Correlation Between Dupont De and Lake Materials
Can any of the company-specific risk be diversified away by investing in both Dupont De and Lake Materials 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 Dupont De and Lake Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dupont De Nemours and Lake Materials Co, you can compare the effects of market volatilities on Dupont De and Lake Materials 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 Dupont De with a short position of Lake Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dupont De and Lake Materials.
Diversification Opportunities for Dupont De and Lake Materials
0.14 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dupont and Lake is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding Dupont De Nemours and Lake Materials Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lake Materials and Dupont De 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 Dupont De Nemours are associated (or correlated) with Lake Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lake Materials has no effect on the direction of Dupont De i.e., Dupont De and Lake Materials go up and down completely randomly.
Pair Corralation between Dupont De and Lake Materials
Allowing for the 90-day total investment horizon Dupont De Nemours is expected to generate 0.34 times more return on investment than Lake Materials. However, Dupont De Nemours is 2.97 times less risky than Lake Materials. It trades about 0.04 of its potential returns per unit of risk. Lake Materials Co is currently generating about 0.01 per unit of risk. If you would invest 6,874 in Dupont De Nemours on August 31, 2024 and sell it today you would earn a total of 1,485 from holding Dupont De Nemours or generate 21.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 96.79% |
| Values | Daily Returns |
Dupont De Nemours vs. Lake Materials Co
Performance |
| Timeline |
| Dupont De Nemours |
| Lake Materials |
Dupont De and Lake Materials Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dupont De and Lake Materials
The main advantage of trading using opposite Dupont De and Lake Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dupont De position performs unexpectedly, Lake Materials 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 Lake Materials will offset losses from the drop in Lake Materials' long position.| Dupont De vs. Eastman Chemical | Dupont De vs. Linde plc Ordinary | Dupont De vs. Ecolab Inc | Dupont De vs. Sherwin Williams Co |
| Lake Materials vs. LG Electronics Pfd | Lake Materials vs. Sungmoon Electronics Co | Lake Materials vs. Shinsegae Information Communication | Lake Materials vs. Shinil Electronics Co |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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