Correlation Between Energy and Pacific Green
Can any of the company-specific risk be diversified away by investing in both Energy and Pacific Green 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 Energy and Pacific Green into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy and Water and Pacific Green Technologies, you can compare the effects of market volatilities on Energy and Pacific Green 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 Energy with a short position of Pacific Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy and Pacific Green.
Diversification Opportunities for Energy and Pacific Green
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Energy and Pacific is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Energy and Water and Pacific Green Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pacific Green Techno and Energy 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 Energy and Water are associated (or correlated) with Pacific Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pacific Green Techno has no effect on the direction of Energy i.e., Energy and Pacific Green go up and down completely randomly.
Pair Corralation between Energy and Pacific Green
Given the investment horizon of 90 days Energy is expected to generate 2.45 times less return on investment than Pacific Green. But when comparing it to its historical volatility, Energy and Water is 3.68 times less risky than Pacific Green. It trades about 0.17 of its potential returns per unit of risk. Pacific Green Technologies is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 54.00 in Pacific Green Technologies on September 13, 2024 and sell it today you would lose (50.65) from holding Pacific Green Technologies or give up 93.8% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
Energy and Water vs. Pacific Green Technologies
Performance |
| Timeline |
| Energy and Water |
| Pacific Green Techno |
Energy and Pacific Green Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Energy and Pacific Green
The main advantage of trading using opposite Energy and Pacific Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy position performs unexpectedly, Pacific Green 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 Pacific Green will offset losses from the drop in Pacific Green's long position.| Energy vs. Aker Carbon Capture | Energy vs. TOMI Environmental Solutions | Energy vs. Zurn Elkay Water | Energy vs. Federal Signal |
| Pacific Green vs. Vow ASA | Pacific Green vs. Eestech | Pacific Green vs. Energy and Water | Pacific Green vs. One World Universe |
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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