Correlation Between Awilco LNG and United Parcel
Can any of the company-specific risk be diversified away by investing in both Awilco LNG and United Parcel 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 Awilco LNG and United Parcel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Awilco LNG ASA and United Parcel Service, you can compare the effects of market volatilities on Awilco LNG and United Parcel 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 Awilco LNG with a short position of United Parcel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Awilco LNG and United Parcel.
Diversification Opportunities for Awilco LNG and United Parcel
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Awilco and United is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Awilco LNG ASA and United Parcel Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Parcel Service and Awilco LNG 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 Awilco LNG ASA are associated (or correlated) with United Parcel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Parcel Service has no effect on the direction of Awilco LNG i.e., Awilco LNG and United Parcel go up and down completely randomly.
Pair Corralation between Awilco LNG and United Parcel
Assuming the 90 days trading horizon Awilco LNG ASA is expected to generate 1.56 times more return on investment than United Parcel. However, Awilco LNG is 1.56 times more volatile than United Parcel Service. It trades about 0.04 of its potential returns per unit of risk. United Parcel Service is currently generating about -0.01 per unit of risk. If you would invest 450.00 in Awilco LNG ASA on December 30, 2023 and sell it today you would earn a total of 229.00 from holding Awilco LNG ASA or generate 50.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.4% |
Values | Daily Returns |
Awilco LNG ASA vs. United Parcel Service
Performance |
Timeline |
Awilco LNG ASA |
United Parcel Service |
Awilco LNG and United Parcel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Awilco LNG and United Parcel
The main advantage of trading using opposite Awilco LNG and United Parcel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Awilco LNG position performs unexpectedly, United Parcel 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 United Parcel will offset losses from the drop in United Parcel's long position.Awilco LNG vs. Norsk Hydro ASA | Awilco LNG vs. Equinor ASA | Awilco LNG vs. Telenor ASA | Awilco LNG vs. DnB ASA |
United Parcel vs. American Clean Resources | United Parcel vs. Aduro Clean Technologies | United Parcel vs. Skyworks Solutions | United Parcel vs. Ultra Clean Holdings |
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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