Correlation Between IHH Healthcare and FGV Holdings
Can any of the company-specific risk be diversified away by investing in both IHH Healthcare and FGV Holdings 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 IHH Healthcare and FGV Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IHH Healthcare Bhd and FGV Holdings Bhd, you can compare the effects of market volatilities on IHH Healthcare and FGV Holdings 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 IHH Healthcare with a short position of FGV Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of IHH Healthcare and FGV Holdings.
Diversification Opportunities for IHH Healthcare and FGV Holdings
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between IHH and FGV is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding IHH Healthcare Bhd and FGV Holdings Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FGV Holdings Bhd and IHH Healthcare 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 IHH Healthcare Bhd are associated (or correlated) with FGV Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FGV Holdings Bhd has no effect on the direction of IHH Healthcare i.e., IHH Healthcare and FGV Holdings go up and down completely randomly.
Pair Corralation between IHH Healthcare and FGV Holdings
Assuming the 90 days trading horizon IHH Healthcare Bhd is expected to under-perform the FGV Holdings. But the stock apears to be less risky and, when comparing its historical volatility, IHH Healthcare Bhd is 1.44 times less risky than FGV Holdings. The stock trades about -0.06 of its potential returns per unit of risk. The FGV Holdings Bhd is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 108.00 in FGV Holdings Bhd on December 30, 2024 and sell it today you would earn a total of 1.00 from holding FGV Holdings Bhd or generate 0.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
IHH Healthcare Bhd vs. FGV Holdings Bhd
Performance |
Timeline |
IHH Healthcare Bhd |
FGV Holdings Bhd |
IHH Healthcare and FGV Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IHH Healthcare and FGV Holdings
The main advantage of trading using opposite IHH Healthcare and FGV Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IHH Healthcare position performs unexpectedly, FGV Holdings 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 FGV Holdings will offset losses from the drop in FGV Holdings' long position.IHH Healthcare vs. Sunzen Biotech Bhd | IHH Healthcare vs. Cloudpoint Technology Berhad | IHH Healthcare vs. Binasat Communications Bhd | IHH Healthcare vs. MClean Technologies Bhd |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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