Correlation Between GasLog Partners and Dynagas LNG
Can any of the company-specific risk be diversified away by investing in both GasLog Partners and Dynagas LNG 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 GasLog Partners and Dynagas LNG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GasLog Partners LP and Dynagas LNG Partners, you can compare the effects of market volatilities on GasLog Partners and Dynagas LNG 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 GasLog Partners with a short position of Dynagas LNG. Check out your portfolio center. Please also check ongoing floating volatility patterns of GasLog Partners and Dynagas LNG.
Diversification Opportunities for GasLog Partners and Dynagas LNG
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GasLog and Dynagas is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding GasLog Partners LP and Dynagas LNG Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dynagas LNG Partners and GasLog Partners 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 GasLog Partners LP are associated (or correlated) with Dynagas LNG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dynagas LNG Partners has no effect on the direction of GasLog Partners i.e., GasLog Partners and Dynagas LNG go up and down completely randomly.
Pair Corralation between GasLog Partners and Dynagas LNG
Assuming the 90 days trading horizon GasLog Partners LP is expected to generate 1.91 times more return on investment than Dynagas LNG. However, GasLog Partners is 1.91 times more volatile than Dynagas LNG Partners. It trades about 0.04 of its potential returns per unit of risk. Dynagas LNG Partners is currently generating about -0.03 per unit of risk. If you would invest 2,528 in GasLog Partners LP on August 26, 2024 and sell it today you would earn a total of 22.00 from holding GasLog Partners LP or generate 0.87% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
GasLog Partners LP vs. Dynagas LNG Partners
Performance |
| Timeline |
| GasLog Partners LP |
| Dynagas LNG Partners |
GasLog Partners and Dynagas LNG Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GasLog Partners and Dynagas LNG
The main advantage of trading using opposite GasLog Partners and Dynagas LNG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GasLog Partners position performs unexpectedly, Dynagas LNG 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 Dynagas LNG will offset losses from the drop in Dynagas LNG's long position.| GasLog Partners vs. GasLog Partners LP | GasLog Partners vs. Seapeak LLC | GasLog Partners vs. Dynagas LNG Partners | GasLog Partners vs. NGL Energy Partners |
| Dynagas LNG vs. GasLog Partners LP | Dynagas LNG vs. Dynagas LNG Partners | Dynagas LNG vs. GasLog Partners LP | Dynagas LNG vs. GasLog Partners LP |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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