Correlation Between MedFirst Healthcare and I Jang
Can any of the company-specific risk be diversified away by investing in both MedFirst Healthcare and I Jang 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 MedFirst Healthcare and I Jang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MedFirst Healthcare Services and I Jang Industrial, you can compare the effects of market volatilities on MedFirst Healthcare and I Jang 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 MedFirst Healthcare with a short position of I Jang. Check out your portfolio center. Please also check ongoing floating volatility patterns of MedFirst Healthcare and I Jang.
Diversification Opportunities for MedFirst Healthcare and I Jang
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between MedFirst and 8342 is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding MedFirst Healthcare Services and I Jang Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on I Jang Industrial and MedFirst 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 MedFirst Healthcare Services are associated (or correlated) with I Jang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of I Jang Industrial has no effect on the direction of MedFirst Healthcare i.e., MedFirst Healthcare and I Jang go up and down completely randomly.
Pair Corralation between MedFirst Healthcare and I Jang
Assuming the 90 days trading horizon MedFirst Healthcare Services is expected to under-perform the I Jang. But the stock apears to be less risky and, when comparing its historical volatility, MedFirst Healthcare Services is 1.08 times less risky than I Jang. The stock trades about -0.04 of its potential returns per unit of risk. The I Jang Industrial is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 8,860 in I Jang Industrial on December 30, 2024 and sell it today you would lose (170.00) from holding I Jang Industrial or give up 1.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
MedFirst Healthcare Services vs. I Jang Industrial
Performance |
Timeline |
MedFirst Healthcare |
I Jang Industrial |
MedFirst Healthcare and I Jang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MedFirst Healthcare and I Jang
The main advantage of trading using opposite MedFirst Healthcare and I Jang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MedFirst Healthcare position performs unexpectedly, I Jang 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 I Jang will offset losses from the drop in I Jang's long position.MedFirst Healthcare vs. Gigasolar Materials | MedFirst Healthcare vs. First Hotel Co | MedFirst Healthcare vs. Ching Feng Home | MedFirst Healthcare vs. General Plastic Industrial |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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