Correlation Between Alfa Financial and DATANG INTL
Can any of the company-specific risk be diversified away by investing in both Alfa Financial and DATANG INTL 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 Alfa Financial and DATANG INTL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Financial Software and DATANG INTL POW, you can compare the effects of market volatilities on Alfa Financial and DATANG INTL 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 Alfa Financial with a short position of DATANG INTL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and DATANG INTL.
Diversification Opportunities for Alfa Financial and DATANG INTL
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Alfa and DATANG is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and DATANG INTL POW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATANG INTL POW and Alfa Financial 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 Alfa Financial Software are associated (or correlated) with DATANG INTL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATANG INTL POW has no effect on the direction of Alfa Financial i.e., Alfa Financial and DATANG INTL go up and down completely randomly.
Pair Corralation between Alfa Financial and DATANG INTL
Assuming the 90 days trading horizon Alfa Financial Software is expected to under-perform the DATANG INTL. But the stock apears to be less risky and, when comparing its historical volatility, Alfa Financial Software is 1.85 times less risky than DATANG INTL. The stock trades about -0.07 of its potential returns per unit of risk. The DATANG INTL POW is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 18.00 in DATANG INTL POW on October 26, 2024 and sell it today you would lose (2.00) from holding DATANG INTL POW or give up 11.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alfa Financial Software vs. DATANG INTL POW
Performance |
Timeline |
Alfa Financial Software |
DATANG INTL POW |
Alfa Financial and DATANG INTL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and DATANG INTL
The main advantage of trading using opposite Alfa Financial and DATANG INTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial position performs unexpectedly, DATANG INTL 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 DATANG INTL will offset losses from the drop in DATANG INTL's long position.Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc | Alfa Financial vs. Apple Inc |
DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc | DATANG INTL vs. Apple Inc |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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