Correlation Between POWERGRID Infrastructure and S P
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By analyzing existing cross correlation between POWERGRID Infrastructure Investment and S P Apparels, you can compare the effects of market volatilities on POWERGRID Infrastructure and S P 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 POWERGRID Infrastructure with a short position of S P. Check out your portfolio center. Please also check ongoing floating volatility patterns of POWERGRID Infrastructure and S P.
Diversification Opportunities for POWERGRID Infrastructure and S P
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between POWERGRID and SPAL is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding POWERGRID Infrastructure Inves and S P Apparels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on S P Apparels and POWERGRID Infrastructure 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 POWERGRID Infrastructure Investment are associated (or correlated) with S P. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of S P Apparels has no effect on the direction of POWERGRID Infrastructure i.e., POWERGRID Infrastructure and S P go up and down completely randomly.
Pair Corralation between POWERGRID Infrastructure and S P
Assuming the 90 days trading horizon POWERGRID Infrastructure Investment is expected to under-perform the S P. But the stock apears to be less risky and, when comparing its historical volatility, POWERGRID Infrastructure Investment is 4.13 times less risky than S P. The stock trades about -0.12 of its potential returns per unit of risk. The S P Apparels is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 31,541 in S P Apparels on October 11, 2024 and sell it today you would earn a total of 63,064 from holding S P Apparels or generate 199.94% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 99.59% |
| Values | Daily Returns |
POWERGRID Infrastructure Inves vs. S P Apparels
Performance |
| Timeline |
| POWERGRID Infrastructure |
| S P Apparels |
POWERGRID Infrastructure and S P Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with POWERGRID Infrastructure and S P
The main advantage of trading using opposite POWERGRID Infrastructure and S P positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if POWERGRID Infrastructure position performs unexpectedly, S P 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 S P will offset losses from the drop in S P's long position.The idea behind POWERGRID Infrastructure Investment and S P Apparels 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.
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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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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