Correlation Between AngloGold Ashanti and Celanese
Can any of the company-specific risk be diversified away by investing in both AngloGold Ashanti and Celanese 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 AngloGold Ashanti and Celanese into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AngloGold Ashanti plc and Celanese, you can compare the effects of market volatilities on AngloGold Ashanti and Celanese 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 AngloGold Ashanti with a short position of Celanese. Check out your portfolio center. Please also check ongoing floating volatility patterns of AngloGold Ashanti and Celanese.
Diversification Opportunities for AngloGold Ashanti and Celanese
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AngloGold and Celanese is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding AngloGold Ashanti plc and Celanese in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celanese and AngloGold Ashanti 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 AngloGold Ashanti plc are associated (or correlated) with Celanese. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celanese has no effect on the direction of AngloGold Ashanti i.e., AngloGold Ashanti and Celanese go up and down completely randomly.
Pair Corralation between AngloGold Ashanti and Celanese
Allowing for the 90-day total investment horizon AngloGold Ashanti plc is expected to generate 0.61 times more return on investment than Celanese. However, AngloGold Ashanti plc is 1.63 times less risky than Celanese. It trades about 0.34 of its potential returns per unit of risk. Celanese is currently generating about -0.04 per unit of risk. If you would invest 2,240 in AngloGold Ashanti plc on December 29, 2024 and sell it today you would earn a total of 1,458 from holding AngloGold Ashanti plc or generate 65.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AngloGold Ashanti plc vs. Celanese
Performance |
Timeline |
AngloGold Ashanti plc |
Celanese |
AngloGold Ashanti and Celanese Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AngloGold Ashanti and Celanese
The main advantage of trading using opposite AngloGold Ashanti and Celanese positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AngloGold Ashanti position performs unexpectedly, Celanese 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 Celanese will offset losses from the drop in Celanese's long position.AngloGold Ashanti vs. Harmony Gold Mining | AngloGold Ashanti vs. Eldorado Gold Corp | AngloGold Ashanti vs. Kinross Gold | AngloGold Ashanti vs. Pan American Silver |
Celanese vs. Tronox Holdings PLC | Celanese vs. Green Plains Renewable | Celanese vs. Lsb Industries | Celanese vs. Valhi Inc |
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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