Correlation Between Gladstone Commercial and CONSOL Energy
Can any of the company-specific risk be diversified away by investing in both Gladstone Commercial and CONSOL Energy 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 Gladstone Commercial and CONSOL Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gladstone Commercial and CONSOL Energy, you can compare the effects of market volatilities on Gladstone Commercial and CONSOL Energy 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 Gladstone Commercial with a short position of CONSOL Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gladstone Commercial and CONSOL Energy.
Diversification Opportunities for Gladstone Commercial and CONSOL Energy
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gladstone and CONSOL is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Gladstone Commercial and CONSOL Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CONSOL Energy and Gladstone Commercial 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 Gladstone Commercial are associated (or correlated) with CONSOL Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CONSOL Energy has no effect on the direction of Gladstone Commercial i.e., Gladstone Commercial and CONSOL Energy go up and down completely randomly.
Pair Corralation between Gladstone Commercial and CONSOL Energy
Assuming the 90 days horizon Gladstone Commercial is expected to generate 0.78 times more return on investment than CONSOL Energy. However, Gladstone Commercial is 1.29 times less risky than CONSOL Energy. It trades about -0.2 of its potential returns per unit of risk. CONSOL Energy is currently generating about -0.57 per unit of risk. If you would invest 1,621 in Gladstone Commercial on September 24, 2024 and sell it today you would lose (88.00) from holding Gladstone Commercial or give up 5.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gladstone Commercial vs. CONSOL Energy
Performance |
Timeline |
Gladstone Commercial |
CONSOL Energy |
Gladstone Commercial and CONSOL Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gladstone Commercial and CONSOL Energy
The main advantage of trading using opposite Gladstone Commercial and CONSOL Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gladstone Commercial position performs unexpectedly, CONSOL Energy 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 CONSOL Energy will offset losses from the drop in CONSOL Energy's long position.Gladstone Commercial vs. STRAYER EDUCATION | Gladstone Commercial vs. INDOFOOD AGRI RES | Gladstone Commercial vs. International Consolidated Airlines | Gladstone Commercial vs. SINGAPORE AIRLINES |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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