Correlation Between Fangdd Network and MDJH Old
Can any of the company-specific risk be diversified away by investing in both Fangdd Network 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 Fangdd Network and MDJH Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fangdd Network Group and MDJH Old, you can compare the effects of market volatilities on Fangdd Network 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 Fangdd Network with a short position of MDJH Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fangdd Network and MDJH Old.
Diversification Opportunities for Fangdd Network and MDJH Old
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fangdd and MDJH is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Fangdd Network Group and MDJH Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MDJH Old and Fangdd Network 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 Fangdd Network Group 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 Fangdd Network i.e., Fangdd Network and MDJH Old go up and down completely randomly.
Pair Corralation between Fangdd Network and MDJH Old
Considering the 90-day investment horizon Fangdd Network Group is expected to under-perform the MDJH Old. But the stock apears to be less risky and, when comparing its historical volatility, Fangdd Network Group is 4.18 times less risky than MDJH Old. The stock trades about -0.22 of its potential returns per unit of risk. The 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 28, 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 Together |
Strength | Very Weak |
Accuracy | 40.0% |
Values | Daily Returns |
Fangdd Network Group vs. MDJH Old
Performance |
Timeline |
Fangdd Network Group |
MDJH Old |
Risk-Adjusted Performance
OK
Weak | Strong |
Fangdd Network and MDJH Old Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fangdd Network and MDJH Old
The main advantage of trading using opposite Fangdd Network and MDJH Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fangdd Network 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.Fangdd Network vs. Southcorp Capital | Fangdd Network vs. Frp Holdings Ord | Fangdd Network vs. Ucommune International | Fangdd Network vs. Ohmyhome Limited Ordinary |
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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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