Correlation Between POWERGRID Infrastructure and Lotus Eye
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By analyzing existing cross correlation between POWERGRID Infrastructure Investment and Lotus Eye Hospital, you can compare the effects of market volatilities on POWERGRID Infrastructure and Lotus Eye 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 Lotus Eye. Check out your portfolio center. Please also check ongoing floating volatility patterns of POWERGRID Infrastructure and Lotus Eye.
Diversification Opportunities for POWERGRID Infrastructure and Lotus Eye
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between POWERGRID and Lotus is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding POWERGRID Infrastructure Inves and Lotus Eye Hospital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotus Eye Hospital 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 Lotus Eye. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotus Eye Hospital has no effect on the direction of POWERGRID Infrastructure i.e., POWERGRID Infrastructure and Lotus Eye go up and down completely randomly.
Pair Corralation between POWERGRID Infrastructure and Lotus Eye
Assuming the 90 days trading horizon POWERGRID Infrastructure is expected to generate 21.26 times less return on investment than Lotus Eye. But when comparing it to its historical volatility, POWERGRID Infrastructure Investment is 6.76 times less risky than Lotus Eye. It trades about 0.07 of its potential returns per unit of risk. Lotus Eye Hospital is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 6,574 in Lotus Eye Hospital on September 18, 2024 and sell it today you would earn a total of 688.00 from holding Lotus Eye Hospital or generate 10.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
POWERGRID Infrastructure Inves vs. Lotus Eye Hospital
Performance |
Timeline |
POWERGRID Infrastructure |
Lotus Eye Hospital |
POWERGRID Infrastructure and Lotus Eye Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with POWERGRID Infrastructure and Lotus Eye
The main advantage of trading using opposite POWERGRID Infrastructure and Lotus Eye positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if POWERGRID Infrastructure position performs unexpectedly, Lotus Eye 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 Lotus Eye will offset losses from the drop in Lotus Eye's long position.The idea behind POWERGRID Infrastructure Investment and Lotus Eye Hospital 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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