Correlation Between Indraprastha Medical and Fortis Healthcare
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By analyzing existing cross correlation between Indraprastha Medical and Fortis Healthcare Limited, you can compare the effects of market volatilities on Indraprastha Medical and Fortis Healthcare 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 Indraprastha Medical with a short position of Fortis Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Indraprastha Medical and Fortis Healthcare.
Diversification Opportunities for Indraprastha Medical and Fortis Healthcare
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Indraprastha and Fortis is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Indraprastha Medical and Fortis Healthcare Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortis Healthcare and Indraprastha Medical 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 Indraprastha Medical are associated (or correlated) with Fortis Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortis Healthcare has no effect on the direction of Indraprastha Medical i.e., Indraprastha Medical and Fortis Healthcare go up and down completely randomly.
Pair Corralation between Indraprastha Medical and Fortis Healthcare
Assuming the 90 days trading horizon Indraprastha Medical is expected to generate 2.01 times less return on investment than Fortis Healthcare. In addition to that, Indraprastha Medical is 1.46 times more volatile than Fortis Healthcare Limited. It trades about 0.05 of its total potential returns per unit of risk. Fortis Healthcare Limited is currently generating about 0.13 per unit of volatility. If you would invest 56,340 in Fortis Healthcare Limited on September 3, 2024 and sell it today you would earn a total of 9,580 from holding Fortis Healthcare Limited or generate 17.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Indraprastha Medical vs. Fortis Healthcare Limited
Performance |
| Timeline |
| Indraprastha Medical |
| Fortis Healthcare |
Indraprastha Medical and Fortis Healthcare Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Indraprastha Medical and Fortis Healthcare
The main advantage of trading using opposite Indraprastha Medical and Fortis Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Indraprastha Medical position performs unexpectedly, Fortis Healthcare 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 Fortis Healthcare will offset losses from the drop in Fortis Healthcare's long position.The idea behind Indraprastha Medical and Fortis Healthcare Limited 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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