Correlation Between Alcoa Corp and South Jersey
Can any of the company-specific risk be diversified away by investing in both Alcoa Corp and South Jersey 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 Alcoa Corp and South Jersey into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alcoa Corp and South Jersey Industries, you can compare the effects of market volatilities on Alcoa Corp and South Jersey 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 Alcoa Corp with a short position of South Jersey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alcoa Corp and South Jersey.
Diversification Opportunities for Alcoa Corp and South Jersey
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alcoa and South is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Alcoa Corp and South Jersey Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on South Jersey Industries and Alcoa Corp 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 Alcoa Corp are associated (or correlated) with South Jersey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of South Jersey Industries has no effect on the direction of Alcoa Corp i.e., Alcoa Corp and South Jersey go up and down completely randomly.
Pair Corralation between Alcoa Corp and South Jersey
Allowing for the 90-day total investment horizon Alcoa Corp is expected to generate 9.0 times more return on investment than South Jersey. However, Alcoa Corp is 9.0 times more volatile than South Jersey Industries. It trades about 0.02 of its potential returns per unit of risk. South Jersey Industries is currently generating about -0.09 per unit of risk. If you would invest 4,474 in Alcoa Corp on September 2, 2024 and sell it today you would earn a total of 169.00 from holding Alcoa Corp or generate 3.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 11.29% |
| Values | Daily Returns |
Alcoa Corp vs. South Jersey Industries
Performance |
| Timeline |
| Alcoa Corp |
| South Jersey Industries |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Alcoa Corp and South Jersey Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Alcoa Corp and South Jersey
The main advantage of trading using opposite Alcoa Corp and South Jersey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alcoa Corp position performs unexpectedly, South Jersey 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 South Jersey will offset losses from the drop in South Jersey's long position.| Alcoa Corp vs. Fortitude Gold Corp | Alcoa Corp vs. New Gold | Alcoa Corp vs. Galiano Gold | Alcoa Corp vs. GoldMining |
| South Jersey vs. Barrick Gold Corp | South Jersey vs. NioCorp Developments Ltd | South Jersey vs. Vindicator Silver Lead Mining | South Jersey vs. Analog Devices |
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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