Correlation Between Hurco Companies and Alaska Air
Can any of the company-specific risk be diversified away by investing in both Hurco Companies and Alaska Air 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 Hurco Companies and Alaska Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hurco Companies and Alaska Air Group, you can compare the effects of market volatilities on Hurco Companies and Alaska Air 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 Hurco Companies with a short position of Alaska Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hurco Companies and Alaska Air.
Diversification Opportunities for Hurco Companies and Alaska Air
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hurco and Alaska is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Hurco Companies and Alaska Air Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alaska Air Group and Hurco Companies 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 Hurco Companies are associated (or correlated) with Alaska Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alaska Air Group has no effect on the direction of Hurco Companies i.e., Hurco Companies and Alaska Air go up and down completely randomly.
Pair Corralation between Hurco Companies and Alaska Air
Given the investment horizon of 90 days Hurco Companies is expected to generate 1.26 times more return on investment than Alaska Air. However, Hurco Companies is 1.26 times more volatile than Alaska Air Group. It trades about -0.07 of its potential returns per unit of risk. Alaska Air Group is currently generating about -0.12 per unit of risk. If you would invest 1,929 in Hurco Companies on December 25, 2024 and sell it today you would lose (329.00) from holding Hurco Companies or give up 17.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hurco Companies vs. Alaska Air Group
Performance |
Timeline |
Hurco Companies |
Alaska Air Group |
Hurco Companies and Alaska Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hurco Companies and Alaska Air
The main advantage of trading using opposite Hurco Companies and Alaska Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hurco Companies position performs unexpectedly, Alaska Air 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 Alaska Air will offset losses from the drop in Alaska Air's long position.Hurco Companies vs. Enerpac Tool Group | Hurco Companies vs. Enpro Industries | Hurco Companies vs. Omega Flex | Hurco Companies vs. Gorman Rupp |
Alaska Air vs. Delta Air Lines | Alaska Air vs. United Airlines Holdings | Alaska Air vs. American Airlines Group | Alaska Air vs. JetBlue Airways Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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