Correlation Between ASIA Capital and AIRA Capital
Can any of the company-specific risk be diversified away by investing in both ASIA Capital and AIRA Capital 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 ASIA Capital and AIRA Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ASIA Capital Group and AIRA Capital Public, you can compare the effects of market volatilities on ASIA Capital and AIRA Capital 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 ASIA Capital with a short position of AIRA Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASIA Capital and AIRA Capital.
Diversification Opportunities for ASIA Capital and AIRA Capital
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ASIA and AIRA is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding ASIA Capital Group and AIRA Capital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AIRA Capital Public and ASIA Capital 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 ASIA Capital Group are associated (or correlated) with AIRA Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AIRA Capital Public has no effect on the direction of ASIA Capital i.e., ASIA Capital and AIRA Capital go up and down completely randomly.
Pair Corralation between ASIA Capital and AIRA Capital
Assuming the 90 days trading horizon ASIA Capital Group is expected to generate 1.42 times more return on investment than AIRA Capital. However, ASIA Capital is 1.42 times more volatile than AIRA Capital Public. It trades about 0.05 of its potential returns per unit of risk. AIRA Capital Public is currently generating about 0.04 per unit of risk. If you would invest 54.00 in ASIA Capital Group on August 28, 2024 and sell it today you would lose (54.00) from holding ASIA Capital Group or give up 100.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 99.79% |
| Values | Daily Returns |
ASIA Capital Group vs. AIRA Capital Public
Performance |
| Timeline |
| ASIA Capital Group |
| AIRA Capital Public |
ASIA Capital and AIRA Capital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ASIA Capital and AIRA Capital
The main advantage of trading using opposite ASIA Capital and AIRA Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASIA Capital position performs unexpectedly, AIRA Capital 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 AIRA Capital will offset losses from the drop in AIRA Capital's long position.| ASIA Capital vs. AddTech Hub Public | ASIA Capital vs. Lotus Retail Growth | ASIA Capital vs. Somboon Advance Technology | ASIA Capital vs. SAF Special Steel |
| AIRA Capital vs. Delta Electronics Public | AIRA Capital vs. Delta Electronics Public | AIRA Capital vs. Airports of Thailand | AIRA Capital vs. Airports of Thailand |
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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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