Correlation Between Innovative Food and MDJH Old
Can any of the company-specific risk be diversified away by investing in both Innovative Food and MDJH Old 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 Innovative Food and MDJH Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innovative Food Hldg and MDJH Old, you can compare the effects of market volatilities on Innovative Food and MDJH Old 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 Innovative Food with a short position of MDJH Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innovative Food and MDJH Old.
Diversification Opportunities for Innovative Food and MDJH Old
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Innovative and MDJH is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Innovative Food Hldg and MDJH Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MDJH Old and Innovative Food 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 Innovative Food Hldg are associated (or correlated) with MDJH Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MDJH Old has no effect on the direction of Innovative Food i.e., Innovative Food and MDJH Old go up and down completely randomly.
Pair Corralation between Innovative Food and MDJH Old
Given the investment horizon of 90 days Innovative Food is expected to generate 21.96 times less return on investment than MDJH Old. But when comparing it to its historical volatility, Innovative Food Hldg is 7.44 times less risky than MDJH Old. It trades about 0.04 of its potential returns per unit of risk. MDJH Old is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 20.00 in MDJH Old on December 29, 2024 and sell it today you would earn a total of 4.00 from holding MDJH Old or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 39.34% |
Values | Daily Returns |
Innovative Food Hldg vs. MDJH Old
Performance |
Timeline |
Innovative Food Hldg |
MDJH Old |
Risk-Adjusted Performance
OK
Weak | Strong |
Innovative Food and MDJH Old Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innovative Food and MDJH Old
The main advantage of trading using opposite Innovative Food and MDJH Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innovative Food position performs unexpectedly, MDJH Old 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 MDJH Old will offset losses from the drop in MDJH Old's long position.Innovative Food vs. Organto Foods | Innovative Food vs. Colabor Group | Innovative Food vs. Bunzl plc | Innovative Food vs. Hf Foods Group |
MDJH Old vs. Fangdd Network Group | MDJH Old vs. Ucommune International | MDJH Old vs. Ohmyhome Limited Ordinary | MDJH Old vs. Southcorp Capital |
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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