Correlation Between PG E and GRUPO ECOENER
Can any of the company-specific risk be diversified away by investing in both PG E and GRUPO ECOENER 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 PG E and GRUPO ECOENER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PG E P6 and GRUPO ECOENER EO, you can compare the effects of market volatilities on PG E and GRUPO ECOENER 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 PG E with a short position of GRUPO ECOENER. Check out your portfolio center. Please also check ongoing floating volatility patterns of PG E and GRUPO ECOENER.
Diversification Opportunities for PG E and GRUPO ECOENER
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between PCG6 and GRUPO is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding PG E P6 and GRUPO ECOENER EO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GRUPO ECOENER EO and PG E 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 PG E P6 are associated (or correlated) with GRUPO ECOENER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GRUPO ECOENER EO has no effect on the direction of PG E i.e., PG E and GRUPO ECOENER go up and down completely randomly.
Pair Corralation between PG E and GRUPO ECOENER
Assuming the 90 days trading horizon PG E P6 is expected to generate 0.65 times more return on investment than GRUPO ECOENER. However, PG E P6 is 1.54 times less risky than GRUPO ECOENER. It trades about -0.1 of its potential returns per unit of risk. GRUPO ECOENER EO is currently generating about -0.16 per unit of risk. If you would invest 2,240 in PG E P6 on September 23, 2024 and sell it today you would lose (60.00) from holding PG E P6 or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
PG E P6 vs. GRUPO ECOENER EO
Performance |
Timeline |
PG E P6 |
GRUPO ECOENER EO |
PG E and GRUPO ECOENER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PG E and GRUPO ECOENER
The main advantage of trading using opposite PG E and GRUPO ECOENER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PG E position performs unexpectedly, GRUPO ECOENER 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 GRUPO ECOENER will offset losses from the drop in GRUPO ECOENER's long position.The idea behind PG E P6 and GRUPO ECOENER EO 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.GRUPO ECOENER vs. LION ONE METALS | GRUPO ECOENER vs. Arrow Electronics | GRUPO ECOENER vs. LG Electronics | GRUPO ECOENER vs. AOI Electronics Co |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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