Correlation Between CarsalesCom and Kaiser Aluminum
Can any of the company-specific risk be diversified away by investing in both CarsalesCom and Kaiser 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 CarsalesCom and Kaiser Aluminum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CarsalesCom and Kaiser Aluminum, you can compare the effects of market volatilities on CarsalesCom and Kaiser 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 CarsalesCom with a short position of Kaiser Aluminum. Check out your portfolio center. Please also check ongoing floating volatility patterns of CarsalesCom and Kaiser Aluminum.
Diversification Opportunities for CarsalesCom and Kaiser Aluminum
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CarsalesCom and Kaiser is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding CarsalesCom and Kaiser Aluminum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kaiser Aluminum and CarsalesCom 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 CarsalesCom are associated (or correlated) with Kaiser Aluminum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kaiser Aluminum has no effect on the direction of CarsalesCom i.e., CarsalesCom and Kaiser Aluminum go up and down completely randomly.
Pair Corralation between CarsalesCom and Kaiser Aluminum
Assuming the 90 days horizon CarsalesCom is expected to generate 0.58 times more return on investment than Kaiser Aluminum. However, CarsalesCom is 1.72 times less risky than Kaiser Aluminum. It trades about 0.04 of its potential returns per unit of risk. Kaiser Aluminum is currently generating about -0.05 per unit of risk. If you would invest 2,044 in CarsalesCom on September 28, 2024 and sell it today you would earn a total of 176.00 from holding CarsalesCom or generate 8.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CarsalesCom vs. Kaiser Aluminum
Performance |
Timeline |
CarsalesCom |
Kaiser Aluminum |
CarsalesCom and Kaiser Aluminum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CarsalesCom and Kaiser Aluminum
The main advantage of trading using opposite CarsalesCom and Kaiser Aluminum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CarsalesCom position performs unexpectedly, Kaiser 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 Kaiser Aluminum will offset losses from the drop in Kaiser Aluminum's long position.CarsalesCom vs. Alphabet | CarsalesCom vs. Meta Platforms | CarsalesCom vs. Meta Platforms | CarsalesCom vs. AIRBNB INC DL 01 |
Kaiser Aluminum vs. ALTAIR RES INC | Kaiser Aluminum vs. Coeur Mining | Kaiser Aluminum vs. MCEWEN MINING INC | Kaiser Aluminum vs. GRIFFIN MINING LTD |
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |