Correlation Between AIRA Factoring and Applied DB
Can any of the company-specific risk be diversified away by investing in both AIRA Factoring and Applied DB 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 AIRA Factoring and Applied DB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AIRA Factoring Public and Applied DB Public, you can compare the effects of market volatilities on AIRA Factoring and Applied DB 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 AIRA Factoring with a short position of Applied DB. Check out your portfolio center. Please also check ongoing floating volatility patterns of AIRA Factoring and Applied DB.
Diversification Opportunities for AIRA Factoring and Applied DB
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between AIRA and Applied is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding AIRA Factoring Public and Applied DB Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Applied DB Public and AIRA Factoring 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 AIRA Factoring Public are associated (or correlated) with Applied DB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Applied DB Public has no effect on the direction of AIRA Factoring i.e., AIRA Factoring and Applied DB go up and down completely randomly.
Pair Corralation between AIRA Factoring and Applied DB
Assuming the 90 days horizon AIRA Factoring Public is expected to generate 0.59 times more return on investment than Applied DB. However, AIRA Factoring Public is 1.69 times less risky than Applied DB. It trades about 0.29 of its potential returns per unit of risk. Applied DB Public is currently generating about 0.1 per unit of risk. If you would invest 59.00 in AIRA Factoring Public on September 28, 2024 and sell it today you would earn a total of 11.00 from holding AIRA Factoring Public or generate 18.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AIRA Factoring Public vs. Applied DB Public
Performance |
Timeline |
AIRA Factoring Public |
Applied DB Public |
AIRA Factoring and Applied DB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AIRA Factoring and Applied DB
The main advantage of trading using opposite AIRA Factoring and Applied DB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AIRA Factoring position performs unexpectedly, Applied DB 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 Applied DB will offset losses from the drop in Applied DB's long position.AIRA Factoring vs. Amanah Leasing Public | AIRA Factoring vs. Infraset Public | AIRA Factoring vs. JMT Network Services |
Applied DB vs. AIRA Factoring Public | Applied DB vs. Ama Marine Public | Applied DB vs. Asia Biomass Public | Applied DB vs. ASIA Capital Group |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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