Correlation Between Power Assets and AGL Energy
Can any of the company-specific risk be diversified away by investing in both Power Assets and AGL 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 Power Assets and AGL Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Assets Holdings and AGL Energy, you can compare the effects of market volatilities on Power Assets and AGL 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 Power Assets with a short position of AGL Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Assets and AGL Energy.
Diversification Opportunities for Power Assets and AGL Energy
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Power and AGL is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Power Assets Holdings and AGL Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGL Energy and Power Assets 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 Power Assets Holdings are associated (or correlated) with AGL Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGL Energy has no effect on the direction of Power Assets i.e., Power Assets and AGL Energy go up and down completely randomly.
Pair Corralation between Power Assets and AGL Energy
Assuming the 90 days horizon Power Assets Holdings is expected to under-perform the AGL Energy. But the pink sheet apears to be less risky and, when comparing its historical volatility, Power Assets Holdings is 2.12 times less risky than AGL Energy. The pink sheet trades about 0.0 of its potential returns per unit of risk. The AGL Energy is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 770.00 in AGL Energy on August 31, 2024 and sell it today you would lose (17.00) from holding AGL Energy or give up 2.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Power Assets Holdings vs. AGL Energy
Performance |
Timeline |
Power Assets Holdings |
AGL Energy |
Power Assets and AGL Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Assets and AGL Energy
The main advantage of trading using opposite Power Assets and AGL Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Assets position performs unexpectedly, AGL 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 AGL Energy will offset losses from the drop in AGL Energy's long position.Power Assets vs. Nextera Energy | Power Assets vs. Consumers Energy | Power Assets vs. Duke Energy | Power Assets vs. Centrais Electricas Brasileiras |
AGL Energy vs. Maxim Power Corp | AGL Energy vs. Pampa Energia SA | AGL Energy vs. NRG Energy | AGL Energy vs. Vistra Energy 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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