Correlation Between Futu Holdings and Haitong Securities
Can any of the company-specific risk be diversified away by investing in both Futu Holdings and Haitong Securities 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 Futu Holdings and Haitong Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Futu Holdings and Haitong Securities Co, you can compare the effects of market volatilities on Futu Holdings and Haitong Securities 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 Futu Holdings with a short position of Haitong Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Futu Holdings and Haitong Securities.
Diversification Opportunities for Futu Holdings and Haitong Securities
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Futu and Haitong is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Futu Holdings and Haitong Securities Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haitong Securities and Futu Holdings 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 Futu Holdings are associated (or correlated) with Haitong Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haitong Securities has no effect on the direction of Futu Holdings i.e., Futu Holdings and Haitong Securities go up and down completely randomly.
Pair Corralation between Futu Holdings and Haitong Securities
Given the investment horizon of 90 days Futu Holdings is expected to generate 4.97 times less return on investment than Haitong Securities. But when comparing it to its historical volatility, Futu Holdings is 3.05 times less risky than Haitong Securities. It trades about 0.05 of its potential returns per unit of risk. Haitong Securities Co is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 473.00 in Haitong Securities Co on September 3, 2024 and sell it today you would earn a total of 466.00 from holding Haitong Securities Co or generate 98.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.2% |
Values | Daily Returns |
Futu Holdings vs. Haitong Securities Co
Performance |
Timeline |
Futu Holdings |
Haitong Securities |
Futu Holdings and Haitong Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Futu Holdings and Haitong Securities
The main advantage of trading using opposite Futu Holdings and Haitong Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Futu Holdings position performs unexpectedly, Haitong Securities 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 Haitong Securities will offset losses from the drop in Haitong Securities' long position.Futu Holdings vs. Riot Blockchain | Futu Holdings vs. Marathon Digital Holdings | Futu Holdings vs. Applied Blockchain | Futu Holdings vs. Hut 8 Corp |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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