Correlation Between Berkeley Energy and Power Assets
Can any of the company-specific risk be diversified away by investing in both Berkeley Energy and Power Assets 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 Berkeley Energy and Power Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Berkeley Energy and Power Assets Holdings, you can compare the effects of market volatilities on Berkeley Energy and Power Assets 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 Berkeley Energy with a short position of Power Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Berkeley Energy and Power Assets.
Diversification Opportunities for Berkeley Energy and Power Assets
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Berkeley and Power is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Berkeley Energy and Power Assets Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Assets Holdings and Berkeley 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 Berkeley Energy are associated (or correlated) with Power Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Assets Holdings has no effect on the direction of Berkeley Energy i.e., Berkeley Energy and Power Assets go up and down completely randomly.
Pair Corralation between Berkeley Energy and Power Assets
Assuming the 90 days horizon Berkeley Energy is expected to generate 0.7 times more return on investment than Power Assets. However, Berkeley Energy is 1.42 times less risky than Power Assets. It trades about 0.22 of its potential returns per unit of risk. Power Assets Holdings is currently generating about -0.05 per unit of risk. If you would invest 22.00 in Berkeley Energy on September 22, 2024 and sell it today you would earn a total of 1.00 from holding Berkeley Energy or generate 4.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Berkeley Energy vs. Power Assets Holdings
Performance |
Timeline |
Berkeley Energy |
Power Assets Holdings |
Berkeley Energy and Power Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Berkeley Energy and Power Assets
The main advantage of trading using opposite Berkeley Energy and Power Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Berkeley Energy position performs unexpectedly, Power Assets 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 Power Assets will offset losses from the drop in Power Assets' long position.Berkeley Energy vs. Isoenergy | Berkeley Energy vs. Paladin Energy | Berkeley Energy vs. F3 Uranium Corp | Berkeley Energy vs. enCore Energy Corp |
Power Assets vs. Vistra Energy Corp | Power Assets vs. NRG Energy | Power Assets vs. Huaneng Power International | Power Assets vs. Power Assets Holdings |
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 Stocks Directory module to find actively traded stocks across global markets.
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