Correlation Between IHH Healthcare and Mercury Industries
Can any of the company-specific risk be diversified away by investing in both IHH Healthcare and Mercury Industries 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 Mercury Industries 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 Mercury Industries Bhd, you can compare the effects of market volatilities on IHH Healthcare and Mercury Industries 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 Mercury Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of IHH Healthcare and Mercury Industries.
Diversification Opportunities for IHH Healthcare and Mercury Industries
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between IHH and Mercury is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding IHH Healthcare Bhd and Mercury Industries Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercury Industries 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 Mercury Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercury Industries Bhd has no effect on the direction of IHH Healthcare i.e., IHH Healthcare and Mercury Industries go up and down completely randomly.
Pair Corralation between IHH Healthcare and Mercury Industries
Assuming the 90 days trading horizon IHH Healthcare Bhd is expected to generate 0.47 times more return on investment than Mercury Industries. However, IHH Healthcare Bhd is 2.14 times less risky than Mercury Industries. It trades about -0.02 of its potential returns per unit of risk. Mercury Industries Bhd is currently generating about -0.09 per unit of risk. If you would invest 720.00 in IHH Healthcare Bhd on September 27, 2024 and sell it today you would lose (12.00) from holding IHH Healthcare Bhd or give up 1.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
IHH Healthcare Bhd vs. Mercury Industries Bhd
Performance |
Timeline |
IHH Healthcare Bhd |
Mercury Industries Bhd |
IHH Healthcare and Mercury Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IHH Healthcare and Mercury Industries
The main advantage of trading using opposite IHH Healthcare and Mercury Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IHH Healthcare position performs unexpectedly, Mercury Industries 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 Mercury Industries will offset losses from the drop in Mercury Industries' long position.IHH Healthcare vs. KPJ Healthcare Bhd | IHH Healthcare vs. Lyc Healthcare Bhd | IHH Healthcare vs. ITMAX System Berhad | IHH Healthcare vs. Nexgram Holdings 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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