Correlation Between Electricity Generating and Wp Energy
Can any of the company-specific risk be diversified away by investing in both Electricity Generating and Wp 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 Electricity Generating and Wp Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Electricity Generating Public and Wp Energy Public, you can compare the effects of market volatilities on Electricity Generating and Wp 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 Electricity Generating with a short position of Wp Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Electricity Generating and Wp Energy.
Diversification Opportunities for Electricity Generating and Wp Energy
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Electricity and Wp Energy is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Electricity Generating Public and Wp Energy Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wp Energy Public and Electricity Generating 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 Electricity Generating Public are associated (or correlated) with Wp Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wp Energy Public has no effect on the direction of Electricity Generating i.e., Electricity Generating and Wp Energy go up and down completely randomly.
Pair Corralation between Electricity Generating and Wp Energy
Assuming the 90 days trading horizon Electricity Generating Public is expected to generate 1.54 times more return on investment than Wp Energy. However, Electricity Generating is 1.54 times more volatile than Wp Energy Public. It trades about -0.08 of its potential returns per unit of risk. Wp Energy Public is currently generating about -0.21 per unit of risk. If you would invest 12,200 in Electricity Generating Public on October 10, 2024 and sell it today you would lose (750.00) from holding Electricity Generating Public or give up 6.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Electricity Generating Public vs. Wp Energy Public
Performance |
Timeline |
Electricity Generating |
Wp Energy Public |
Electricity Generating and Wp Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Electricity Generating and Wp Energy
The main advantage of trading using opposite Electricity Generating and Wp Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Electricity Generating position performs unexpectedly, Wp 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 Wp Energy will offset losses from the drop in Wp Energy's long position.Electricity Generating vs. PTT Public | Electricity Generating vs. The Siam Cement | Electricity Generating vs. Ratch Group Public | Electricity Generating vs. Bangkok Bank Public |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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