Correlation Between Kaiser Aluminum and Noranda Aluminum
Can any of the company-specific risk be diversified away by investing in both Kaiser Aluminum and Noranda Aluminum 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 Kaiser Aluminum and Noranda Aluminum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kaiser Aluminum and Noranda Aluminum Holding, you can compare the effects of market volatilities on Kaiser Aluminum and Noranda Aluminum 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 Kaiser Aluminum with a short position of Noranda Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kaiser Aluminum and Noranda Aluminum.
Diversification Opportunities for Kaiser Aluminum and Noranda Aluminum
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kaiser and Noranda is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Kaiser Aluminum and Noranda Aluminum Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Noranda Aluminum Holding and Kaiser Aluminum 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 Kaiser Aluminum are associated (or correlated) with Noranda Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Noranda Aluminum Holding has no effect on the direction of Kaiser Aluminum i.e., Kaiser Aluminum and Noranda Aluminum go up and down completely randomly.
Pair Corralation between Kaiser Aluminum and Noranda Aluminum
Given the investment horizon of 90 days Kaiser Aluminum is expected to generate 0.38 times more return on investment than Noranda Aluminum. However, Kaiser Aluminum is 2.66 times less risky than Noranda Aluminum. It trades about 0.02 of its potential returns per unit of risk. Noranda Aluminum Holding is currently generating about -0.08 per unit of risk. If you would invest 9,129 in Kaiser Aluminum on January 29, 2024 and sell it today you would earn a total of 363.00 from holding Kaiser Aluminum or generate 3.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 35.37% |
Values | Daily Returns |
Kaiser Aluminum vs. Noranda Aluminum Holding
Performance |
Timeline |
Kaiser Aluminum |
Noranda Aluminum Holding |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Kaiser Aluminum and Noranda Aluminum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kaiser Aluminum and Noranda Aluminum
The main advantage of trading using opposite Kaiser Aluminum and Noranda Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kaiser Aluminum position performs unexpectedly, Noranda Aluminum 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 Noranda Aluminum will offset losses from the drop in Noranda Aluminum's long position.Kaiser Aluminum vs. Century Aluminum | Kaiser Aluminum vs. China Hongqiao Group | Kaiser Aluminum vs. Constellium Nv | Kaiser Aluminum vs. Alcoa Corp |
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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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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