Correlation Between Alphanam and Sao Ta
Can any of the company-specific risk be diversified away by investing in both Alphanam and Sao Ta 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 Alphanam and Sao Ta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alphanam ME and Sao Ta Foods, you can compare the effects of market volatilities on Alphanam and Sao Ta 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 Alphanam with a short position of Sao Ta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alphanam and Sao Ta.
Diversification Opportunities for Alphanam and Sao Ta
Modest diversification
The 3 months correlation between Alphanam and Sao is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Alphanam ME and Sao Ta Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sao Ta Foods and Alphanam 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 Alphanam ME are associated (or correlated) with Sao Ta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sao Ta Foods has no effect on the direction of Alphanam i.e., Alphanam and Sao Ta go up and down completely randomly.
Pair Corralation between Alphanam and Sao Ta
Assuming the 90 days trading horizon Alphanam ME is expected to under-perform the Sao Ta. In addition to that, Alphanam is 3.6 times more volatile than Sao Ta Foods. It trades about -0.14 of its total potential returns per unit of risk. Sao Ta Foods is currently generating about 0.04 per unit of volatility. If you would invest 4,790,000 in Sao Ta Foods on September 5, 2024 and sell it today you would earn a total of 90,000 from holding Sao Ta Foods or generate 1.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 50.77% |
Values | Daily Returns |
Alphanam ME vs. Sao Ta Foods
Performance |
Timeline |
Alphanam ME |
Sao Ta Foods |
Alphanam and Sao Ta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alphanam and Sao Ta
The main advantage of trading using opposite Alphanam and Sao Ta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alphanam position performs unexpectedly, Sao Ta 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 Sao Ta will offset losses from the drop in Sao Ta's long position.Alphanam vs. FIT INVEST JSC | Alphanam vs. Damsan JSC | Alphanam vs. An Phat Plastic | Alphanam vs. APG Securities Joint |
Sao Ta vs. Pha Le Plastics | Sao Ta vs. Vietnam Rubber Group | Sao Ta vs. Petrolimex Information Technology | Sao Ta vs. Viet Thanh Plastic |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |