Correlation Between Northern Star and Emperor Energy
Can any of the company-specific risk be diversified away by investing in both Northern Star and Emperor 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 Northern Star and Emperor Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Star Resources and Emperor Energy, you can compare the effects of market volatilities on Northern Star and Emperor 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 Northern Star with a short position of Emperor Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Star and Emperor Energy.
Diversification Opportunities for Northern Star and Emperor Energy
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Northern and Emperor is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Northern Star Resources and Emperor Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emperor Energy and Northern Star 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 Northern Star Resources are associated (or correlated) with Emperor Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emperor Energy has no effect on the direction of Northern Star i.e., Northern Star and Emperor Energy go up and down completely randomly.
Pair Corralation between Northern Star and Emperor Energy
Assuming the 90 days trading horizon Northern Star is expected to generate 18.54 times less return on investment than Emperor Energy. But when comparing it to its historical volatility, Northern Star Resources is 4.58 times less risky than Emperor Energy. It trades about 0.02 of its potential returns per unit of risk. Emperor Energy is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1.10 in Emperor Energy on September 27, 2024 and sell it today you would earn a total of 1.50 from holding Emperor Energy or generate 136.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Northern Star Resources vs. Emperor Energy
Performance |
Timeline |
Northern Star Resources |
Emperor Energy |
Northern Star and Emperor Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Star and Emperor Energy
The main advantage of trading using opposite Northern Star and Emperor Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Star position performs unexpectedly, Emperor 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 Emperor Energy will offset losses from the drop in Emperor Energy's long position.Northern Star vs. Duketon Mining | Northern Star vs. Retail Food Group | Northern Star vs. Truscott Mining Corp | Northern Star vs. EVE Health Group |
Emperor Energy vs. Northern Star Resources | Emperor Energy vs. Evolution Mining | Emperor Energy vs. Bluescope Steel | Emperor Energy vs. Aneka Tambang Tbk |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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