Correlation Between Engie SA and Avista
Can any of the company-specific risk be diversified away by investing in both Engie SA and Avista 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 Engie SA and Avista into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Engie SA and Avista, you can compare the effects of market volatilities on Engie SA and Avista 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 Engie SA with a short position of Avista. Check out your portfolio center. Please also check ongoing floating volatility patterns of Engie SA and Avista.
Diversification Opportunities for Engie SA and Avista
Very good diversification
The 3 months correlation between Engie and Avista is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Engie SA and Avista in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Avista and Engie SA 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 Engie SA are associated (or correlated) with Avista. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Avista has no effect on the direction of Engie SA i.e., Engie SA and Avista go up and down completely randomly.
Pair Corralation between Engie SA and Avista
Assuming the 90 days trading horizon Engie SA is expected to under-perform the Avista. But the stock apears to be less risky and, when comparing its historical volatility, Engie SA is 1.24 times less risky than Avista. The stock trades about -0.01 of its potential returns per unit of risk. The Avista is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 3,213 in Avista on September 3, 2024 and sell it today you would earn a total of 367.00 from holding Avista or generate 11.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Engie SA vs. Avista
Performance |
| Timeline |
| Engie SA |
| Avista |
Engie SA and Avista Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Engie SA and Avista
The main advantage of trading using opposite Engie SA and Avista positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Engie SA position performs unexpectedly, Avista 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 Avista will offset losses from the drop in Avista's long position.The idea behind Engie SA and Avista pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Avista vs. Liberty Broadband | Avista vs. Lion One Metals | Avista vs. TRAINLINE PLC LS | Avista vs. Harmony Gold Mining |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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