Correlation Between IG Petrochemicals and Sakar Healthcare
Can any of the company-specific risk be diversified away by investing in both IG Petrochemicals and Sakar Healthcare 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 IG Petrochemicals and Sakar Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IG Petrochemicals Limited and Sakar Healthcare Limited, you can compare the effects of market volatilities on IG Petrochemicals and Sakar 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 IG Petrochemicals with a short position of Sakar Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of IG Petrochemicals and Sakar Healthcare.
Diversification Opportunities for IG Petrochemicals and Sakar Healthcare
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IGPL and Sakar is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding IG Petrochemicals Limited and Sakar Healthcare Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sakar Healthcare and IG Petrochemicals 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 IG Petrochemicals Limited are associated (or correlated) with Sakar Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sakar Healthcare has no effect on the direction of IG Petrochemicals i.e., IG Petrochemicals and Sakar Healthcare go up and down completely randomly.
Pair Corralation between IG Petrochemicals and Sakar Healthcare
Assuming the 90 days trading horizon IG Petrochemicals Limited is expected to under-perform the Sakar Healthcare. In addition to that, IG Petrochemicals is 1.3 times more volatile than Sakar Healthcare Limited. It trades about -0.06 of its total potential returns per unit of risk. Sakar Healthcare Limited is currently generating about -0.01 per unit of volatility. If you would invest 30,215 in Sakar Healthcare Limited on October 25, 2024 and sell it today you would lose (765.00) from holding Sakar Healthcare Limited or give up 2.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
IG Petrochemicals Limited vs. Sakar Healthcare Limited
Performance |
Timeline |
IG Petrochemicals |
Sakar Healthcare |
IG Petrochemicals and Sakar Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IG Petrochemicals and Sakar Healthcare
The main advantage of trading using opposite IG Petrochemicals and Sakar Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IG Petrochemicals position performs unexpectedly, Sakar 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 Sakar Healthcare will offset losses from the drop in Sakar Healthcare's long position.IG Petrochemicals vs. Baazar Style Retail | IG Petrochemicals vs. Hindustan Copper Limited | IG Petrochemicals vs. Aarti Drugs Limited | IG Petrochemicals vs. Aarey Drugs Pharmaceuticals |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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